Amy Kempf
- Infectious Diseases top 1%
- Molecular Biology
- Animal Science and Zoology top 5%
- Immunology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Stefan PöhlmannMarkus HoffmannHans‐Martin JäckLuise GraichenSebastian SchulzMartin Sebastian WinklerNadine KrügerInga Nehlmeier
- Topics
- SARS-CoV-2 and COVID-19 Research (23 papers)COVID-19 Clinical Research Studies (15 papers)SARS-CoV-2 detection and testing (6 papers)
- Journals
- CellNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Amy Kempf
25 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Infectious Diseases 1.5k
- Molecular Biology 380
- Animal Science and Zoology 206
- Immunology 160
- Radiology, Nuclear Medicine and Imaging 134
Countries citing papers authored by Amy Kempf
This map shows the geographic impact of Amy Kempf'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 Amy Kempf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Kempf more than expected).
Fields of papers citing papers by Amy Kempf
This network shows the impact of papers produced by Amy Kempf. 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 Amy Kempf. The network helps show where Amy Kempf may publish in the future.
Co-authorship network of co-authors of Amy Kempf
This figure shows the co-authorship network connecting the top 25 collaborators of Amy Kempf. A scholar is included among the top collaborators of Amy Kempf 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 Amy Kempf. Amy Kempf 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 38 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 18 | |
| 14 | 4 | |
| 15 | 162 | |
| 16 | 29 | |
| 17 | 56 | |
| 18 | SARS-CoV-2 variants B.1.351 and P.1 escape from neutralizing antibodiesbreakdown → | 563 |
| 19 | 59 | |
| 20 | The Omicron variant is highly resistant against antibody-mediated neutralization: Implications for control of the COVID-19 pandemicbreakdown → | 557 |
About Amy Kempf
Amy Kempf is a scholar working on Infectious Diseases, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (23 papers), COVID-19 Clinical Research Studies (15 papers) and SARS-CoV-2 detection and testing (6 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Modeling and Simulation (94 citations) and Animal Science and Zoology (206 citations). Amy Kempf has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Stefan Pöhlmann, Markus Hoffmann, Hans‐Martin Jäck, Luise Graichen, Sebastian Schulz, Martin Sebastian Winkler, Nadine Krüger, Inga Nehlmeier, Georg M. N. Behrens and Anna-Sophie Moldenhauer. Their work appears in journals such as Cell, Nature Communications and SHILAP Revista de lepidopterología.
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.