Phillip L. Campbell
- Molecular Biology top 10%
- Immunology top 5%
- Pathology and Forensic Medicine top 5%
- Oncology top 10%
- Rheumatology top 2%
- Co-authors
- Alisa E. KochM. Asif AminJeffrey H. RuthDavid A. FoxPei‐Suen TsouRobert B. NadlerDinesh KhannaElior Peles
- Topics
- Cell Adhesion Molecules Research (10 papers)Chemokine receptors and signaling (7 papers)Systemic Sclerosis and Related Diseases (7 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Phillip L. Campbell
52 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 934
- Immunology 647
- Pathology and Forensic Medicine 431
- Oncology 416
- Rheumatology 408
Countries citing papers authored by Phillip L. Campbell
This map shows the geographic impact of Phillip L. 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 Phillip L. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip L. Campbell more than expected).
Fields of papers citing papers by Phillip L. Campbell
This network shows the impact of papers produced by Phillip L. 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 Phillip L. Campbell. The network helps show where Phillip L. Campbell may publish in the future.
Co-authorship network of co-authors of Phillip L. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip L. Campbell. A scholar is included among the top collaborators of Phillip L. Campbell 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 Phillip L. Campbell. Phillip L. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 34 | |
| 6 | 8 | |
| 7 | ASCEND: Phase III, Randomized Trial of Acalabrutinib Versus Idelalisib Plus Rituximab or Bendamustine Plus Rituximab in Relapsed or Refractory Chronic Lymphocytic Leukemiabreakdown → | 252 |
| 8 | 20 | |
| 9 | 43 | |
| 10 | 7 | |
| 11 | 22 | |
| 12 | 33 | |
| 13 | 23 | |
| 14 | 50 | |
| 15 | 77 | |
| 16 | 31 | |
| 17 | 56 | |
| 18 | 42 | |
| 19 | 171 | |
| 20 | 14 |
About Phillip L. Campbell
Phillip L. Campbell is a scholar working on Immunology and Allergy, Biological Psychiatry and Immunology, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (10 papers), Chemokine receptors and signaling (7 papers) and Systemic Sclerosis and Related Diseases (7 papers). The work is most often cited by research in Urology (285 citations), Immunology (647 citations) and Immunology and Allergy (175 citations). Phillip L. Campbell has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Alisa E. Koch, M. Asif Amin, Jeffrey H. Ruth, David A. Fox, Pei‐Suen Tsou, Robert B. Nadler, Dinesh Khanna, Elior Peles, Ricardo Martínez and Gregory D. Plowman. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.