Robert D. Fisher
- Molecular Biology
- Cell Biology top 2%
- Virology top 2%
- Epidemiology
- Immunology
- Co-authors
- Wesley I. SundquistChristopher P. HillHoward RobinsonQianting ZhaiHyo-Young ChungDaniel S. HigginsonJohn McCulloughFrank G. Whitby
- Topics
- Bat Biology and Ecology Studies (6 papers)Animal Ecology and Behavior Studies (5 papers)Species Distribution and Climate Change (5 papers)
- Cited by
- VirologyCell BiologyPhysiology
- Partner nations
- United StatesIndonesia
In The Last Decade
Robert D. Fisher
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 690
- Cell Biology 562
- Virology 320
- Epidemiology 199
- Immunology 179
Countries citing papers authored by Robert D. Fisher
This map shows the geographic impact of Robert D. Fisher'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 Robert D. Fisher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert D. Fisher more than expected).
Fields of papers citing papers by Robert D. Fisher
This network shows the impact of papers produced by Robert D. Fisher. 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 Robert D. Fisher. The network helps show where Robert D. Fisher may publish in the future.
Co-authorship network of co-authors of Robert D. Fisher
This figure shows the co-authorship network connecting the top 25 collaborators of Robert D. Fisher. A scholar is included among the top collaborators of Robert D. Fisher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert D. Fisher. Robert D. Fisher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 43 | |
| 7 | 75 | |
| 8 | 4 | |
| 9 | 190 | |
| 10 | 125 | |
| 11 | 268 | |
| 12 | 135 | |
| 13 | 154 | |
| 14 | 208 | |
| 15 | 4 | |
| 16 | Identification and distribution of cotton rats, genus Sigmodon (Muridae: Sigmodontinae), of Nayarit, M?xico | 16 |
| 17 | Identification and restriction of the type locality of the Manzano cottontail, Sylvilagus cognatus Nelson, 1907 (Mammalia Lagomorpha Leporidae) | 6 |
| 18 | 3 | |
| 19 | 2 | |
| 20 | Mammals imported into the United States in 1970 | 1 |
About Robert D. Fisher
Robert D. Fisher is a scholar working on Ecological Modeling, Virology and Paleontology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (6 papers), Animal Ecology and Behavior Studies (5 papers) and Species Distribution and Climate Change (5 papers). The work is most often cited by research in Virology (320 citations), Cell Biology (562 citations) and Physiology (105 citations). Robert D. Fisher has collaborated with scholars based in United States and Indonesia. Frequent co-authors include Wesley I. Sundquist, Christopher P. Hill, Howard Robinson, Qianting Zhai, Hyo-Young Chung, Daniel S. Higginson, John McCullough, Frank G. Whitby, Sara Birtalan and Sachdev S. Sidhu. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.