Hans-Heinrich Hoffmann
- Molecular Biology top 10%
- Immunology top 2%
- Infectious Diseases top 1%
- Epidemiology top 5%
- Oncology top 10%
- Co-authors
- Charles M. RiceWilliam M. SchneiderXianfang WuYingpu YuBrad R. RosenbergStephanie L. SarbanesMargaret R. MacDonaldViet Loan Dao Thi
- Topics
- SARS-CoV-2 and COVID-19 Research (12 papers)interferon and immune responses (10 papers)Mosquito-borne diseases and control (7 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Hans-Heinrich Hoffmann
35 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.2k
- Immunology 1.1k
- Infectious Diseases 1.0k
- Epidemiology 651
- Oncology 255
Countries citing papers authored by Hans-Heinrich Hoffmann
This map shows the geographic impact of Hans-Heinrich Hoffmann'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 Hans-Heinrich Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans-Heinrich Hoffmann more than expected).
Fields of papers citing papers by Hans-Heinrich Hoffmann
This network shows the impact of papers produced by Hans-Heinrich Hoffmann. 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 Hans-Heinrich Hoffmann. The network helps show where Hans-Heinrich Hoffmann may publish in the future.
Co-authorship network of co-authors of Hans-Heinrich Hoffmann
This figure shows the co-authorship network connecting the top 25 collaborators of Hans-Heinrich Hoffmann. A scholar is included among the top collaborators of Hans-Heinrich Hoffmann 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 Hans-Heinrich Hoffmann. Hans-Heinrich Hoffmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 41 | |
| 8 | 84 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 90 | |
| 12 | 10 | |
| 13 | 36 | |
| 14 | 108 | |
| 15 | Genome-Scale Identification of SARS-CoV-2 and Pan-coronavirus Host Factor Networksbreakdown → | 243 |
| 16 | TMEM41B Is a Pan-flavivirus Host Factorbreakdown → | 136 |
| 17 | 86 | |
| 18 | 60 | |
| 19 | Intrinsic Immunity Shapes Viral Resistance of Stem Cellsbreakdown → | 248 |
| 20 | 115 |
About Hans-Heinrich Hoffmann
Hans-Heinrich Hoffmann is a scholar working on Infectious Diseases, Immunology and Biological Psychiatry, having authored 36 papers that have together received 3.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), interferon and immune responses (10 papers) and Mosquito-borne diseases and control (7 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Immunology (1.1k citations) and Virology (91 citations). Hans-Heinrich Hoffmann has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Charles M. Rice, William M. Schneider, Xianfang Wu, Yingpu Yu, Brad R. Rosenberg, Stephanie L. Sarbanes, Margaret R. MacDonald, Viet Loan Dao Thi, Tony Sun and Eleftherios Michailidis. Their work appears in journals such as Nature, Cell 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.