Clinton J.V. Campbell
- Hematology top 5%
- Molecular Biology
- Artificial Intelligence top 10%
- Immunology
- Oncology
- Co-authors
- Mickie BhatiaBrian LeberAnargyros XenocostasHamid R. TizhooshTony CollinsAllison L. BoydRonan FoleyBorhane Guezguez
- Topics
- AI in cancer detection (12 papers)Digital Imaging for Blood Diseases (9 papers)Acute Myeloid Leukemia Research (5 papers)
- Cited by
- HematologyHealth InformaticsGenetics
- Journals
- Journal of Biological ChemistryThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Clinton J.V. Campbell
31 papers receiving 797 citations
Peers
Comparison fields: 5 of 94
- Hematology 309
- Molecular Biology 265
- Artificial Intelligence 184
- Immunology 146
- Oncology 126
Countries citing papers authored by Clinton J.V. Campbell
This map shows the geographic impact of Clinton J.V. 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 Clinton J.V. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clinton J.V. Campbell more than expected).
Fields of papers citing papers by Clinton J.V. Campbell
This network shows the impact of papers produced by Clinton J.V. 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 Clinton J.V. Campbell. The network helps show where Clinton J.V. Campbell may publish in the future.
Co-authorship network of co-authors of Clinton J.V. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Clinton J.V. Campbell. A scholar is included among the top collaborators of Clinton J.V. 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 Clinton J.V. Campbell. Clinton J.V. 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 | 1 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 11 | |
| 10 | 43 | |
| 11 | 14 | |
| 12 | 34 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 76 | |
| 16 | 26 | |
| 17 | 156 | |
| 18 | 92 | |
| 19 | 79 | |
| 20 | 40 |
About Clinton J.V. Campbell
Clinton J.V. Campbell is a scholar working on Hematology, Health Informatics and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 809 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Digital Imaging for Blood Diseases (9 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Hematology (309 citations), Health Informatics (21 citations) and Genetics (111 citations). Clinton J.V. Campbell has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Mickie Bhatia, Brian Leber, Anargyros Xenocostas, Hamid R. Tizhoosh, Tony Collins, Allison L. Boyd, Ronan Foley, Borhane Guezguez, Zoya Shapovalova and Catherine Ross. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine 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.