Michael L. Merchant
- Molecular Biology top 2%
- Cancer Research top 1%
- Nephrology top 0.5%
- Physiology top 2%
- Immunology top 5%
- Co-authors
- Jon B. KleinIlse M. RoodJeroen K. DeegensDaniel W. WilkeyRukhsana SultanaWilliam M. PierceJian CaiH. Fai Poon
- Topics
- Advanced Proteomics Techniques and Applications (15 papers)Chronic Kidney Disease and Diabetes (14 papers)Renal Diseases and Glomerulopathies (14 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Michael L. Merchant
135 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 3.6k
- Cancer Research 1.1k
- Nephrology 1.1k
- Physiology 961
- Immunology 675
Countries citing papers authored by Michael L. Merchant
This map shows the geographic impact of Michael L. Merchant'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 Michael L. Merchant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Merchant more than expected).
Fields of papers citing papers by Michael L. Merchant
This network shows the impact of papers produced by Michael L. Merchant. 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 Michael L. Merchant. The network helps show where Michael L. Merchant may publish in the future.
Co-authorship network of co-authors of Michael L. Merchant
This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Merchant. A scholar is included among the top collaborators of Michael L. Merchant based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael L. Merchant. Michael L. Merchant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Plant-nanoparticles enhance anti-PD-L1 efficacy by shaping human commensal microbiota metabolitesbreakdown → | 28 |
| 2 | 1 | |
| 3 | 44 | |
| 4 | 2 | |
| 5 | Garlic exosome-like nanoparticles reverse high-fat diet induced obesity via the gut/brain axisbreakdown → | 120 |
| 6 | 21 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 55 | |
| 11 | 26 | |
| 12 | 18 | |
| 13 | 41 | |
| 14 | 19 | |
| 15 | 17 | |
| 16 | 38 | |
| 17 | 6 | |
| 18 | 110 | |
| 19 | 83 | |
| 20 | 43 |
About Michael L. Merchant
Michael L. Merchant is a scholar working on Nephrology, Immunology and Allergy and Molecular Biology, having authored 137 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (15 papers), Chronic Kidney Disease and Diabetes (14 papers) and Renal Diseases and Glomerulopathies (14 papers). The work is most often cited by research in Nephrology (1.1k citations), Cancer Research (1.1k citations) and Molecular Biology (3.6k citations). Michael L. Merchant has collaborated with scholars based in United States, China and India. Frequent co-authors include Jon B. Klein, Ilse M. Rood, Jeroen K. Deegens, Daniel W. Wilkey, Rukhsana Sultana, William M. Pierce, Jian Cai, H. Fai Poon, Jingyao Mu and Kenneth R. McLeish. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Nature Communications.
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.