Chanchal Kumar
- Spectroscopy top 0.1%
- Advanced Proteomics Techniques and Applications 14
- Mass Spectrometry Techniques and Applications 6
- Geriatrics and Gerontology top 0.5%
- Molecular Biology top 0.5%
- Metabolomics and Mass Spectrometry Studies 8
- RNA and protein synthesis mechanisms 3
- Cell Biology top 1%
- Oncology top 2%
-
- Cardiovascular Function and Risk Factors 3
-
- Liver Disease Diagnosis and Treatment 3
-
- Pancreatic function and diabetes 3
- Pediatric Hepatobiliary Diseases and Treatments 2
Chanchal Kumar
35 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Spectroscopy 2.8k
- Geriatrics and Gerontology 485
- Molecular Biology 8.4k
- Cell Biology 1.2k
- Oncology 1.4k
Countries citing papers authored by Chanchal Kumar
This map shows the geographic impact of Chanchal Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chanchal Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chanchal Kumar more than expected).
Fields of papers citing papers by Chanchal Kumar
This network shows the impact of papers produced by Chanchal Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chanchal Kumar. The network helps show where Chanchal Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chanchal Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 8 | |
| 2 | Artificial intelligence for proteomics and biomarker discoverybreakdown → | 2021 | 216 |
| 3 | 2020 | 33 | |
| 4 | 2020 | 26 | |
| 5 | 2020 | 60 | |
| 6 | 2019 | 39 | |
| 7 | 2019 | 32 | |
| 8 | A Review on Management of Blood Glucose in Type 2 Diabetes Mellitus | 2016 | 1 |
| 9 | 2011 | 52 | |
| 10 | Lysine Acetylation Targets Protein Complexes and Co-Regulates Major Cellular Functionsbreakdown → | 2009 | 3252 |
| 11 | 2009 | 180 | |
| 12 | 2009 | 120 | |
| 13 | 2008 | 83 | |
| 14 | 2008 | 414 | |
| 15 | 2007 | 354 | |
| 16 | 2007 | 236 | |
| 17 | 2007 | 95 | |
| 18 | 2007 | 322 | |
| 19 | The human urinary proteome contains more than 1500 proteins, including a large proportion of membrane proteinsbreakdown → | 2006 | 541 |
| 20 | 2006 | 52 |
About Chanchal Kumar
Chanchal Kumar is a scholar working on Spectroscopy, Molecular Biology and Cell Biology, having authored 35 papers that have together received 10.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Mass Spectrometry Techniques and Applications (6 papers), Cardiovascular Function and Risk Factors (3 papers), RNA and protein synthesis mechanisms (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Pancreatic function and diabetes (3 papers) and Pediatric Hepatobiliary Diseases and Treatments (2 papers). The work is most often cited by research in Spectroscopy (2.8k citations), Geriatrics and Gerontology (485 citations) and Molecular Biology (8.4k citations). Chanchal Kumar has collaborated with scholars based in Germany, Sweden and Denmark. Frequent co-authors include Matthias Mann, Jesper V. Olsen, Florian Gnad, Boris Maček, Tobias C. Walther, Michael L. Nielsen, Michael Rehman, Chunaram Choudhary, Blagoy Blagoev and Peter Mortensen. Their work appears in journals such as Molecular & Cellular Proteomics, Scientific Reports, Journal of Proteome Research, Cell Metabolism and iScience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.