Ben C. King
Impact in
- Immunology top 10%
- Complement system in diseases
- Immune Cell Function and Interaction
- Phagocytosis and Immune Regulation
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
- Immunology 25
- Complement system in diseases 14
- Phagocytosis and Immune Regulation 6
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 5
- Surgery 15
- Pancreatic function and diabetes 13
- Pancreatitis Pathology and Treatment 6
- Co-authors
- Anna M. Blom (30 shared papers)Erik Renström (9 shared papers)Enming Zhang (4 shared papers)Ulrika Krus (4 shared papers)Katarzyna Woźniak (3 shared papers)Maria F. Gomez (2 shared papers)Lena Eliasson (1 shared paper)David O’Connell (1 shared paper)
- Journals
- Immunobiology (5 papers)The Journal of Immunology (4 papers)Cell Metabolism (2 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (1 paper)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Ben C. King
31 papers receiving 654 citations
Peers
Comparison fields: 5 of 80
- Immunology 412
- Nephrology 92
- Physiology 25
- Hematology 54
- Neurology 37
Countries citing papers authored by Ben C. King
This map shows the geographic impact of Ben C. King'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 Ben C. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben C. King more than expected).
Fields of papers citing papers by Ben C. King
This network shows the impact of papers produced by Ben C. King. 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 Ben C. King. The network helps show where Ben C. King may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben C. King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 104 | |
| 2 | 2014 | 56 | |
| 3 | 2016 | 53 | |
| 4 | 2019 | 47 | |
| 5 | 2022 | 33 | |
| 6 | 2006 | 30 | |
| 7 | 2012 | 28 | |
| 8 | 2022 | 25 | |
| 9 | 2012 | 24 | |
| 10 | 2018 | 24 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2016 | 20 | |
| 14 | 2016 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2017 | 17 | |
| 17 | 2019 | 17 | |
| 18 | 2024 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2024 | 14 |
About Ben C. King
Ben C. King is a scholar working on Immunology, Surgery, Molecular Biology, Genetics and Nephrology, having authored 37 papers that have together received 666 indexed citations. Recurring topics across this work include Complement system in diseases (14 papers), Pancreatic function and diabetes (13 papers), Phagocytosis and Immune Regulation (6 papers), Pancreatitis Pathology and Treatment (6 papers), Diabetes and associated disorders (6 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (412 citations), Nephrology (92 citations), Physiology (25 citations), Hematology (54 citations) and Neurology (37 citations). Ben C. King has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Anna M. Blom, Erik Renström, Enming Zhang, Ulrika Krus, Katarzyna Woźniak, Maria F. Gomez, Lena Eliasson, David O’Connell, Jonathan L.S. Esguerra and Claudia Kemper. Their work appears in journals such as Immunobiology, The Journal of Immunology, Cell Metabolism, Proceedings of the National Academy of Sciences and Blood.
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.