Nikhil Ram-Mohan
Impact in
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing
Papers in
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- Genomics and Phylogenetic Studies 6
-
- Medical Imaging Techniques and Applications 3
- Co-authors
- Thomas J. Meade (4 shared papers)Keith W. MacRenaris (4 shared papers)Adam T. Preslar (3 shared papers)R. Thane Papke (5 shared papers)Matthew W. Rotz (2 shared papers)Robert J. Holbrook (2 shared papers)Michelle M. Meyer (3 shared papers)Samuel Yang (8 shared papers)
- Journals
- Scientific Reports (2 papers)Journal of Clinical Medicine (2 papers)Bioconjugate Chemistry (2 papers)Extremophiles (2 papers)Nano Letters (2 papers)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Nikhil Ram-Mohan
27 papers receiving 456 citations
Peers
Comparison fields: 5 of 91
- Clinical Biochemistry 38
- Applied Microbiology and Biotechnology 11
- Ecology 98
- Biomaterials 50
- Radiation 28
Countries citing papers authored by Nikhil Ram-Mohan
This map shows the geographic impact of Nikhil Ram-Mohan'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 Nikhil Ram-Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Ram-Mohan more than expected).
Fields of papers citing papers by Nikhil Ram-Mohan
This network shows the impact of papers produced by Nikhil Ram-Mohan. 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 Nikhil Ram-Mohan. The network helps show where Nikhil Ram-Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikhil Ram-Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2016 | 60 | |
| 3 | 2022 | 42 | |
| 4 | 2013 | 39 | |
| 5 | 2018 | 28 | |
| 6 | 2015 | 27 | |
| 7 | 2014 | 25 | |
| 8 | 2016 | 25 | |
| 9 | 2022 | 21 | |
| 10 | 2023 | 16 | |
| 11 | 2020 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2016 | 4 |
About Nikhil Ram-Mohan
Nikhil Ram-Mohan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Ecology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 463 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Microbial Community Ecology and Physiology (4 papers), Medical Imaging Techniques and Applications (3 papers), Lanthanide and Transition Metal Complexes (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Streptococcal Infections and Treatments (3 papers), Head and Neck Cancer Studies (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Clinical Biochemistry (38 citations), Applied Microbiology and Biotechnology (11 citations), Ecology (98 citations), Biomaterials (50 citations) and Radiation (28 citations). Nikhil Ram-Mohan has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Thomas J. Meade, Keith W. MacRenaris, Adam T. Preslar, R. Thane Papke, Matthew W. Rotz, Robert J. Holbrook, Michelle M. Meyer, Samuel Yang, Poonam Yadav and Ramūnas Stepanauskas. Their work appears in journals such as Scientific Reports, Journal of Clinical Medicine, Bioconjugate Chemistry, Extremophiles and Nano Letters.
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.