Jennifer K. Nyborg
- Immunology top 1%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Agronomy and Crop Science top 0.2%
- Molecular Biology top 10%
- Oncology top 10%
- Co-authors
- Holli A. GieblerIsabelle LemassonAnne BrauweilerNeelam SharmaWilliam S. DynanPaul J. LaybournKaren Van OrdenMartine Uittenbogaard
- Topics
- T-cell and Retrovirus Studies (44 papers)Vector-Borne Animal Diseases (41 papers)Animal Disease Management and Epidemiology (40 papers)
- Partner nations
- United StatesFranceDenmark
In The Last Decade
Jennifer K. Nyborg
63 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 103
- Immunology 2.0k
- Ecology, Evolution, Behavior and Systematics 1.6k
- Agronomy and Crop Science 1.6k
- Molecular Biology 1.2k
- Oncology 284
Countries citing papers authored by Jennifer K. Nyborg
This map shows the geographic impact of Jennifer K. Nyborg'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 Jennifer K. Nyborg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer K. Nyborg more than expected).
Fields of papers citing papers by Jennifer K. Nyborg
This network shows the impact of papers produced by Jennifer K. Nyborg. 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 Jennifer K. Nyborg. The network helps show where Jennifer K. Nyborg may publish in the future.
Co-authorship network of co-authors of Jennifer K. Nyborg
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer K. Nyborg. A scholar is included among the top collaborators of Jennifer K. Nyborg 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 Jennifer K. Nyborg. Jennifer K. Nyborg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 22 | |
| 3 | 50 | |
| 4 | 55 | |
| 5 | 42 | |
| 6 | 14 | |
| 7 | 24 | |
| 8 | 93 | |
| 9 | 58 | |
| 10 | 48 | |
| 11 | 8 | |
| 12 | 68 | |
| 13 | 45 | |
| 14 | 99 | |
| 15 | 10 | |
| 16 | 49 | |
| 17 | 50 | |
| 18 | 7 | |
| 19 | 118 | |
| 20 | 77 |
About Jennifer K. Nyborg
Jennifer K. Nyborg is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 63 papers that have together received 3.3k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (44 papers), Vector-Borne Animal Diseases (41 papers) and Animal Disease Management and Epidemiology (40 papers). The work is most often cited by research in Agronomy and Crop Science (1.6k citations), Immunology (2.0k citations) and Ecology, Evolution, Behavior and Systematics (1.6k citations). Jennifer K. Nyborg has collaborated with scholars based in United States, France and Denmark. Frequent co-authors include Holli A. Giebler, Isabelle Lemasson, Anne Brauweiler, Neelam Sharma, William S. Dynan, Paul J. Laybourn, Karen Van Orden, Martine Uittenbogaard, Jennifer Garrus and S R Spindler. Their work appears in journals such as Nature, 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.