Murli Narayan
Impact in
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
-
- HER2/EGFR in Cancer Research
- Peptidase Inhibition and Analysis
Papers in
-
- Vector-Borne Animal Diseases 4
- Oncology 4
- HER2/EGFR in Cancer Research 2
- Co-authors
- Lyndsay N. Harris (2 shared papers)Nita J. Maihle (1 shared paper)Andre T. Baron (1 shared paper)Jason A. Wilken (1 shared paper)Dong‐Eun Kim (1 shared paper)Smita S. Patel (1 shared paper)Patrick L. Green (4 shared papers)Alex C. Minella (1 shared paper)
- Journals
- Journal of Virology (5 papers)International Journal of Cancer (1 paper)Breast Cancer Research (1 paper)Cancer Research (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Murli Narayan
9 papers receiving 434 citations
Peers
Comparison fields: 5 of 58
- Agronomy and Crop Science 71
- Oncology 183
- Immunology 111
- Radiology, Nuclear Medicine and Imaging 105
- Ecology, Evolution, Behavior and Systematics 72
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 | 184 | |
| 2 | 2002 | 81 | |
| 3 | 2000 | 51 | |
| 4 | 2010 | 47 | |
| 5 | 2007 | 28 | |
| 6 | 2003 | 21 | |
| 7 | 2001 | 18 | |
| 8 | 1997 | 10 | |
| 9 | 2001 | 2 |
About Murli Narayan
Murli Narayan is a scholar working on Ecology, Evolution, Behavior and Systematics, Oncology, Agronomy and Crop Science, Immunology and Molecular Biology, having authored 9 papers that have together received 442 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (4 papers), T-cell and Retrovirus Studies (4 papers), Vector-Borne Animal Diseases (4 papers), HER2/EGFR in Cancer Research (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Bacterial Genetics and Biotechnology (1 paper), Cell Adhesion Molecules Research (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Agronomy and Crop Science (71 citations), Oncology (183 citations), Immunology (111 citations), Radiology, Nuclear Medicine and Imaging (105 citations) and Ecology, Evolution, Behavior and Systematics (72 citations). Murli Narayan has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Lyndsay N. Harris, Nita J. Maihle, Andre T. Baron, Jason A. Wilken, Dong‐Eun Kim, Smita S. Patel, Patrick L. Green, Alex C. Minella, Ted M. Ross and Michael P. DiGiovanna. Their work appears in journals such as Journal of Virology, International Journal of Cancer, Breast Cancer Research, Cancer Research and Journal of Molecular Biology.
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.