J Holmquist
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
Papers in
-
- AI in cancer detection 7
-
- Cell Image Analysis Techniques 7
- Co-authors
- Linda Simpson‐Herren (3 shared papers)Björn Stenkvist (13 shared papers)Olle Eriksson (10 shared papers)Ewert Bengtsson (10 shared papers)Sighild Westman‐Naeser (4 shared papers)B. Nordin (4 shared papers)Jan Vegelius (2 shared papers)Arthur Sanford (2 shared papers)
- Journals
- Journal of Histochemistry & Cytochemistry (4 papers)Cell Proliferation (1 paper)Journal of Clinical Pathology (1 paper)Computers in Biology and Medicine (1 paper)PubMed (6 papers)
- Partner nations
- SwedenUnited StatesPoland
In The Last Decade
J Holmquist
17 papers receiving 517 citations
Peers
Comparison fields: 5 of 90
- Biophysics 64
- Cancer Research 142
- Oncology 172
- Artificial Intelligence 137
- Computer Vision and Pattern Recognition 84
Countries citing papers authored by J Holmquist
This map shows the geographic impact of J Holmquist'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 J Holmquist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Holmquist more than expected).
Fields of papers citing papers by J Holmquist
This network shows the impact of papers produced by J Holmquist. 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 J Holmquist. The network helps show where J Holmquist may publish in the future.
Co-authors
The 17 scholars most cited alongside J Holmquist, 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 | Effects of surgery on the cell kinetics of residual tumor. | 1976 | 134 |
| 2 | 1979 | 117 | |
| 3 | Computerized nuclear morphometry as an objective method for characterizing human cancer cell populations. | 1978 | 87 |
| 4 | 1974 | 65 | |
| 5 | Evidence of a modifying influence of heart glucosides on the development of breast cancer. | 1980 | 38 |
| 6 | 1978 | 30 | |
| 7 | Ambiguity of the thymidine index. | 1976 | 27 |
| 8 | 1981 | 18 | |
| 9 | 1979 | 16 | |
| 10 | 1976 | 9 | |
| 11 | 1976 | 7 | |
| 12 | 1977 | 6 | |
| 13 | 1976 | 6 | |
| 14 | 1977 | 5 | |
| 15 | TULIPS: the Uppsala-Linkoping Image Processing System. | 1981 | 2 |
| 16 | 2021 | 1 | |
| 17 | A computerized recording system for cytopathologic diagnoses. | 1977 | 1 |
About J Holmquist
J Holmquist is a scholar working on Artificial Intelligence, Biophysics, Molecular Biology, Computer Vision and Pattern Recognition and Oncology, having authored 17 papers that have together received 569 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Cell Image Analysis Techniques (7 papers), Gene expression and cancer classification (2 papers), Digital Imaging for Blood Diseases (2 papers), Lung Cancer Treatments and Mutations (2 papers), Image Processing Techniques and Applications (2 papers), Estrogen and related hormone effects (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Biophysics (64 citations), Cancer Research (142 citations), Oncology (172 citations), Artificial Intelligence (137 citations) and Computer Vision and Pattern Recognition (84 citations). J Holmquist has collaborated with scholars based in Sweden, United States and Poland. Frequent co-authors include Linda Simpson‐Herren, Björn Stenkvist, Olle Eriksson, Ewert Bengtsson, Sighild Westman‐Naeser, B. Nordin, Jan Vegelius, Arthur Sanford, Bo Nordin and Cecil H. Fox. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Cell Proliferation, Journal of Clinical Pathology, Computers in Biology and Medicine and PubMed.
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.