William Campbell
Impact in
- Hematology top 2%
- Blood Coagulation and Thrombosis Mechanisms
- Gastroenterology top 2%
- Gastroesophageal reflux and treatments
Papers in
- Equine 2
- Hematology 11
- Blood Coagulation and Thrombosis Mechanisms 10
- Co-authors
- Hidechika OkadaNoriko OkadaEliada LazouraJohn C. SlatteryLajos BaranyiHiran C. FernandoRobert J. KeenanPercival O. Buenaventura
- Journals
- The Journal of Immunology (4 papers)Psychopharmacology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Nature Medicine (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
William Campbell
51 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 117
- Hematology 489
- Gastroenterology 179
- Internal Medicine 83
- Genetics 158
- Cancer Research 166
Countries citing papers authored by William Campbell
This map shows the geographic impact of William Campbell'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 William Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Campbell more than expected).
Fields of papers citing papers by William Campbell
This network shows the impact of papers produced by William Campbell. 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 William Campbell. The network helps show where William Campbell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William Campbell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 6 | |
| 2 | 2009 | 98 | |
| 3 | 2009 | 18 | |
| 4 | 2008 | 26 | |
| 5 | 2008 | 10 | |
| 6 | 2007 | 52 | |
| 7 | 2004 | 37 | |
| 8 | 2004 | 18 | |
| 9 | 2002 | 60 | |
| 10 | 2002 | 10 | |
| 11 | 2001 | 83 | |
| 12 | 2000 | 78 | |
| 13 | 1998 | 20 | |
| 14 | 1996 | 19 | |
| 15 | 1995 | 78 | |
| 16 | 1995 | 1 | |
| 17 | 1994 | 64 | |
| 18 | 1991 | 5 | |
| 19 | 1989 | 122 | |
| 20 | 1988 | 5 |
About William Campbell
William Campbell is a scholar working on Equine, Hematology, Genetics, Oncology and Immunology, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (10 papers), Blood Coagulation and Thrombosis Mechanisms (10 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Receptor Mechanisms and Signaling (6 papers), Biochemical and Structural Characterization (5 papers), Protease and Inhibitor Mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Vitamin K Research Studies (3 papers). The work is most often cited by research in Hematology (489 citations), Gastroenterology (179 citations), Internal Medicine (83 citations), Genetics (158 citations) and Cancer Research (166 citations). William Campbell has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hidechika Okada, Noriko Okada, Hidechika Okada, Eliada Lazoura, John C. Slattery, Lajos Baranyi, Hiran C. Fernando, Robert J. Keenan, Percival O. Buenaventura and Neil A. Christie. Their work appears in journals such as The Journal of Immunology, Psychopharmacology, Biochemical and Biophysical Research Communications, Nature Medicine and British Journal of Haematology.
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.