Murli Narayan
Impact in
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- HER2/EGFR in Cancer Research
- Peptidase Inhibition and Analysis
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
Papers in
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- Vector-Borne Animal Diseases 4
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- Animal Disease Management and Epidemiology 4
- Co-authors
- Lyndsay N. Harris (2 shared papers)Jason A. Wilken (1 shared paper)Andre T. Baron (1 shared paper)Nita J. Maihle (1 shared paper)Dong‐Eun Kim (1 shared paper)Smita S. Patel (1 shared paper)Patrick L. Green (4 shared papers)Ted M. Ross (1 shared paper)
- Journals
- Journal of Virology (5 papers)Journal of Molecular Biology (1 paper)Cancer Research (1 paper)International Journal of Cancer (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Murli Narayan
9 papers receiving 456 citations
Peers
Comparison fields: 5 of 59
- Oncology 173
- Agronomy and Crop Science 69
- Immunology 113
- Radiology, Nuclear Medicine and Imaging 94
- Ecology, Evolution, Behavior and Systematics 66
Countries citing papers authored by Murli Narayan
This map shows the geographic impact of Murli Narayan'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 Murli Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murli Narayan more than expected).
Fields of papers citing papers by Murli Narayan
This network shows the impact of papers produced by Murli Narayan. 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 Murli Narayan. The network helps show where Murli Narayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Murli Narayan, 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 | 2009 | 192 | |
| 2 | 2002 | 85 | |
| 3 | 2000 | 54 | |
| 4 | 2010 | 50 | |
| 5 | 2007 | 29 | |
| 6 | 2003 | 23 | |
| 7 | 2001 | 19 | |
| 8 | 1997 | 11 | |
| 9 | 2001 | 2 |
About Murli Narayan
Murli Narayan is a scholar working on Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Immunology, Oncology and Molecular Biology, having authored 9 papers that have together received 465 indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (4 papers), T-cell and Retrovirus Studies (4 papers), Animal Disease Management and Epidemiology (4 papers), DNA Repair Mechanisms (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Hepatitis B Virus Studies (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Oncology (173 citations), Agronomy and Crop Science (69 citations), Immunology (113 citations), Radiology, Nuclear Medicine and Imaging (94 citations) and Ecology, Evolution, Behavior and Systematics (66 citations). Murli Narayan has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Lyndsay N. Harris, Jason A. Wilken, Andre T. Baron, Nita J. Maihle, Dong‐Eun Kim, Smita S. Patel, Patrick L. Green, Ted M. Ross, Alex C. Minella and Cynthia Zerillo. Their work appears in journals such as Journal of Virology, Journal of Molecular Biology, Cancer Research, International Journal of Cancer and Breast Cancer Research.
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.