Ram Yogendra
Impact in
- Neurology top 5%
- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 2
-
- Long-Term Effects of COVID-19 5
- Neuroinflammation and Neurodegeneration Mechanisms 1
- Brain Tumor Detection and Classification 1
- Co-authors
- José Guevara-Coto (5 shared papers)Rodrígo Mora (5 shared papers)Bruce K. Patterson (6 shared papers)Edgar B. Francisco (4 shared papers)Amruta Pise (3 shared papers)Purvi Parikh (3 shared papers)Javier Mora (3 shared papers)Paul T. Scott (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Frontiers in Medicine (1 paper)Scientific Reports (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Perioperative Medicine (1 paper)
- Partner nations
- United StatesCosta RicaIndia
In The Last Decade
Ram Yogendra
7 papers receiving 293 citations
Ram Yogendra's Hit Papers
Peers
Comparison fields: 5 of 60
- Neurology 216
- Infectious Diseases 179
- Critical Care and Intensive Care Medicine 34
- Neurology 39
- Biological Psychiatry 10
Countries citing papers authored by Ram Yogendra
This map shows the geographic impact of Ram Yogendra'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 Yogendra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Yogendra more than expected).
Fields of papers citing papers by Ram Yogendra
This network shows the impact of papers produced by Ram Yogendra. 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 Yogendra. The network helps show where Ram Yogendra may publish in the future.
Co-authors
The 20 scholars most cited alongside Ram Yogendra, 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 | Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) up to 15 Months Post-Infection Hit paper breakdown → | 2022 | 154 |
| 2 | 2021 | 125 | |
| 3 | 2023 | 11 | |
| 4 | 2025 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 |
About Ram Yogendra
Ram Yogendra is a scholar working on Infectious Diseases, Neurology, Molecular Biology, Neurology and Critical Care and Intensive Care Medicine, having authored 8 papers that have together received 300 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (5 papers), COVID-19 Clinical Research Studies (5 papers), Inflammasome and immune disorders (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), vaccines and immunoinformatics approaches (1 paper), Brain Tumor Detection and Classification (1 paper) and Thermal Regulation in Medicine (1 paper). The work is most often cited by research in Neurology (216 citations), Infectious Diseases (179 citations), Critical Care and Intensive Care Medicine (34 citations), Neurology (39 citations) and Biological Psychiatry (10 citations). Ram Yogendra has collaborated with scholars based in United States, Costa Rica and India. Frequent co-authors include José Guevara-Coto, Rodrígo Mora, Bruce K. Patterson, Edgar B. Francisco, Amruta Pise, Purvi Parikh, Javier Mora, Paul T. Scott, Timothy J. Triche and Dennis T. Maglinte. Their work appears in journals such as Frontiers in Immunology, Frontiers in Medicine, Scientific Reports, Human Vaccines & Immunotherapeutics and Perioperative Medicine.
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.