Ram Chawda
Impact in
- Virology top 5%
- HIV Research and Treatment
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Glycosylation and Glycoproteins Research 7
-
- Carbohydrate Chemistry and Synthesis 7
- Co-authors
- Supriya D. Mahajan (10 shared papers)Stanley A. Schwartz (9 shared papers)Madhavan Nair (7 shared papers)Ravikumar Aalinkeel (4 shared papers)Kailash C. Chadha (2 shared papers)Thomas Shanahan (3 shared papers)Chithan Kandaswami (3 shared papers)Gerald Sufrin (1 shared paper)
- Journals
- Clinical and Vaccine Immunology (2 papers)Glycobiology (2 papers)Carbohydrate Research (2 papers)Oncology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United States
In The Last Decade
Ram Chawda
19 papers receiving 847 citations
Peers
Comparison fields: 5 of 87
- Virology 100
- Biological Psychiatry 37
- Biochemistry 82
- Neurology 59
- Immunology 147
Countries citing papers authored by Ram Chawda
This map shows the geographic impact of Ram Chawda'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 Ram Chawda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Chawda more than expected).
Fields of papers citing papers by Ram Chawda
This network shows the impact of papers produced by Ram Chawda. 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 Ram Chawda. The network helps show where Ram Chawda may publish in the future.
Co-authors
The 25 scholars most cited alongside Ram Chawda, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 152 | |
| 2 | 2002 | 144 | |
| 3 | 2004 | 131 | |
| 4 | 2002 | 88 | |
| 5 | 2005 | 68 | |
| 6 | 2005 | 48 | |
| 7 | 1974 | 46 | |
| 8 | 2002 | 43 | |
| 9 | 2005 | 26 | |
| 10 | 2002 | 24 | |
| 11 | 2002 | 22 | |
| 12 | 2004 | 22 | |
| 13 | 2004 | 19 | |
| 14 | 2003 | 18 | |
| 15 | 1999 | 17 | |
| 16 | 2003 | 11 | |
| 17 | 2001 | 7 | |
| 18 | 2001 | 6 | |
| 19 | 1977 | 2 | |
| 20 | 2009 | 0 |
About Ram Chawda
Ram Chawda is a scholar working on Molecular Biology, Organic Chemistry, Virology, Immunology and Oncology, having authored 21 papers that have together received 894 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Carbohydrate Chemistry and Synthesis (7 papers), HIV Research and Treatment (7 papers), Galectins and Cancer Biology (3 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Virology (100 citations), Biological Psychiatry (37 citations), Biochemistry (82 citations), Neurology (59 citations) and Immunology (147 citations). Ram Chawda has collaborated with scholars based in United States. Frequent co-authors include Supriya D. Mahajan, Stanley A. Schwartz, Madhavan Nair, Ravikumar Aalinkeel, Kailash C. Chadha, Thomas Shanahan, Chithan Kandaswami, Gerald Sufrin, E. V. Chandrasekaran and Conrad F. Piskorz. Their work appears in journals such as Clinical and Vaccine Immunology, Glycobiology, Carbohydrate Research, Oncology and The Journal of Immunology.
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.