Robert N. Kirchdoerfer
- Infectious Diseases top 0.5%
- Molecular Biology top 10%
- Animal Science and Zoology top 1%
- Epidemiology top 10%
- Immunology top 10%
- Co-authors
- Andrew B. WardHannah L. TurnerBarney S. GrahamJason S. McLellanKizzmekia S. CorbettNianshuang WangJesper PallesenChristopher A. Cottrell
- Topics
- Viral gastroenteritis research and epidemiology (11 papers)SARS-CoV-2 and COVID-19 Research (8 papers)Viral Infections and Outbreaks Research (6 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Robert N. Kirchdoerfer
24 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Infectious Diseases 1.8k
- Molecular Biology 816
- Animal Science and Zoology 466
- Epidemiology 463
- Immunology 304
Countries citing papers authored by Robert N. Kirchdoerfer
This map shows the geographic impact of Robert N. Kirchdoerfer'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 N. Kirchdoerfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert N. Kirchdoerfer more than expected).
Fields of papers citing papers by Robert N. Kirchdoerfer
This network shows the impact of papers produced by Robert N. Kirchdoerfer. 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 N. Kirchdoerfer. The network helps show where Robert N. Kirchdoerfer may publish in the future.
Co-authorship network of co-authors of Robert N. Kirchdoerfer
This figure shows the co-authorship network connecting the top 25 collaborators of Robert N. Kirchdoerfer. A scholar is included among the top collaborators of Robert N. Kirchdoerfer 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 N. Kirchdoerfer. Robert N. Kirchdoerfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 21 | |
| 3 | 62 | |
| 4 | 70 | |
| 5 | 200 | |
| 6 | 52 | |
| 7 | 8 | |
| 8 | 41 | |
| 9 | Stabilized coronavirus spikes are resistant to conformational changes induced by receptor recognition or proteolysisbreakdown → | 311 |
| 10 | 42 | |
| 11 | Immunogenicity and structures of a rationally designed prefusion MERS-CoV spike antigenbreakdown → | 623 |
| 12 | 19 | |
| 13 | 56 | |
| 14 | Pre-fusion structure of a human coronavirus spike proteinbreakdown → | 526 |
| 15 | 9 | |
| 16 | 201 | |
| 17 | 3 | |
| 18 | 49 | |
| 19 | 24 | |
| 20 | 17 |
About Robert N. Kirchdoerfer
Robert N. Kirchdoerfer is a scholar working on Infectious Diseases, Animal Science and Zoology and Microbiology, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Viral Infections and Outbreaks Research (6 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Animal Science and Zoology (466 citations) and Virology (84 citations). Robert N. Kirchdoerfer has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Andrew B. Ward, Hannah L. Turner, Barney S. Graham, Jason S. McLellan, Kizzmekia S. Corbett, Nianshuang Wang, Jesper Pallesen, Christopher A. Cottrell, Daniel Wrapp and Hadi M. Yassine. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.