| Proteogenomic analysis of Mycobacterium tuberculosis by high resolution mass spectrometry DS Kelkar, D Kumar, P Kumar, L Balakrishnan, B Muthusamy, AK Yadav, ... Molecular & cellular proteomics 10 (12), 2011 | 196 | 2011 |
| A systematic analysis of eluted fraction of plasma post immunoaffinity depletion: implications in biomarker discovery AK Yadav, G Bhardwaj, T Basak, D Kumar, S Ahmad, R Priyadarshini, ... PloS one 6 (9), e24442, 2011 | 107 | 2011 |
| Exosome-enclosed microRNAs in exhaled breath hold potential for biomarker discovery in patients with pulmonary diseases. A Sinha, AK Yadav, S Chakraborty, SK Kabra, R Lodha, M Kumar, ... The Journal of allergy and clinical immunology 132 (1), 219-222, 2013 | 104 | 2013 |
| False discovery rate estimation in proteomics S Aggarwal, AK Yadav Statistical Analysis in Proteomics, 119-128, 2016 | 102 | 2016 |
| Golden Syrian hamster as a model to study cardiovascular complications associated with SARS-CoV-2 infection ZA Rizvi, R Dalal, S Sadhu, A Binayke, J Dandotiya, Y Kumar, ... Elife 11, e73522, 2022 | 67 | 2022 |
| Big data, integrative omics and network biology P Tolani, S Gupta, K Yadav, S Aggarwal, AK Yadav Advances in Protein Chemistry and Structural Biology 127, 2021 | 60 | 2021 |
| MassWiz: a novel scoring algorithm with target-decoy based analysis pipeline for tandem mass spectrometry AK Yadav, D Kumar, D Dash Journal of proteome research 10 (5), 2154-2160, 2011 | 59 | 2011 |
| Proteogenomic analysis of Bradyrhizobium japonicum USDA110 using GenoSuite, an automated multi-algorithmic pipeline D Kumar, AK Yadav, PK Kadimi, SH Nagaraj, SM Grimmond, D Dash Molecular & cellular proteomics 12 (11), 3388-3397, 2013 | 47 | 2013 |
| Choosing an Optimal Database for Protein Identification from Tandem Mass Spectrometry Data D Kumar, AK Yadav, D Dash Proteome Bioinformatics, 17-29, 2017 | 46 | 2017 |
| Post-translational modification crosstalk and hotspots in sirtuin interactors implicated in cardiovascular diseases S Aggarwal, SK Banerjee, NC Talukdar, AK Yadav Frontiers in genetics 11, 356, 2020 | 43 | 2020 |
| Dissecting the iTRAQ Data Analysis S Aggarwal, AK Yadav Statistical Analysis in Proteomics, 277-291, 2016 | 41 | 2016 |
| Integrated transcriptomic-proteomic analysis using a proteogenomic workflow refines rat genome annotation D Kumar, AK Yadav, X Jia, J Mulvenna, D Dash Molecular & Cellular Proteomics 15 (1), 329-339, 2016 | 40 | 2016 |
| Serum protein signature of coronary artery disease in type 2 diabetes mellitus R Adela, PNC Reddy, TS Ghosh, S Aggarwal, AK Yadav, B Das, ... Journal of translational medicine 17, 1-17, 2019 | 37 | 2019 |
| Ubiquitin Proteasome pathway proteins as potential drug targets in parasite Trypanosoma cruzi I Gupta, S Aggarwal, K Singh, A Yadav, S Khan Scientific Reports 8 (1), 8399, 2018 | 36 | 2018 |
| Advances in higher order multiplexing techniques in proteomics S Aggarwal, NC Talukdar, AK Yadav Journal of proteome research 18 (6), 2360-2369, 2019 | 28 | 2019 |
| False discovery rate: the Achilles’ heel of proteogenomics S Aggarwal, A Raj, D Kumar, D Dash, AK Yadav Briefings in Bioinformatics 23 (5), bbac163, 2022 | 26 | 2022 |
| Learning from decoys to improve the sensitivity and specificity of proteomics database search results AK Yadav, D Kumar, D Dash PloS one 7 (11), e50651, 2012 | 26 | 2012 |
| Discovery of rare protein‐coding genes in model methylotroph Methylobacterium extorquens AM1 D Kumar, AK Mondal, AK Yadav, D Dash Proteomics 14 (23-24), 2790-2794, 2014 | 19 | 2014 |
| Posttranslational modifications in systems biology S Aggarwal, P Tolani, S Gupta, AK Yadav Advances in Protein Chemistry and Structural Biology 127, 2021 | 18 | 2021 |
| ProteoStats—a library for estimating false discovery rates in proteomics pipelines AK Yadav, PK Kadimi, D Kumar, D Dash Bioinformatics 29 (21), 2799-2800, 2013 | 18 | 2013 |
Suruchi AggarwalIndian Council of Medical ResearchVerified email at icmr.gov.in
