Arman Rahman
Impact in
- Health Informatics top 10%
-
- Aquaculture disease management and microbiota
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in
- Immunology 10
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 3
- Co-authors
- Takeshi Matsunaga (2 shared papers)William M. Gallagher (16 shared papers)Marie‐Louise Hammarström (7 shared papers)Bo Li (1 shared paper)Fredrik Pontén (1 shared paper)Evelina Sjöstedt (1 shared paper)Gillian O’Hurley (1 shared paper)Caroline Kampf (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Expert Review of Molecular Diagnostics (3 papers)Cancers (2 papers)Cancer Research (2 papers)Gastroenterology (1 paper)
- Partner nations
- IrelandSwedenUnited Kingdom
In The Last Decade
Arman Rahman
29 papers receiving 623 citations
Peers
Comparison fields: 5 of 111
- Health Informatics 22
- Immunology 209
- Microbiology 49
- Aquatic Science 40
- Cancer Research 67
Countries citing papers authored by Arman Rahman
This map shows the geographic impact of Arman Rahman'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 Arman Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arman Rahman more than expected).
Fields of papers citing papers by Arman Rahman
This network shows the impact of papers produced by Arman Rahman. 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 Arman Rahman. The network helps show where Arman Rahman may publish in the future.
Co-authors
The 25 scholars most cited alongside Arman Rahman, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 112 | |
| 2 | 1998 | 103 | |
| 3 | 2001 | 49 | |
| 4 | 2010 | 34 | |
| 5 | 2009 | 32 | |
| 6 | 2021 | 27 | |
| 7 | 2007 | 27 | |
| 8 | 2017 | 27 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 23 | |
| 12 | 2011 | 23 | |
| 13 | 2022 | 22 | |
| 14 | 2024 | 21 | |
| 15 | 2022 | 19 | |
| 16 | 2005 | 14 | |
| 17 | 2020 | 10 | |
| 18 | 2013 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2020 | 8 |
About Arman Rahman
Arman Rahman is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Oncology, having authored 31 papers that have together received 641 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (5 papers), Cancer Genomics and Diagnostics (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Antimicrobial Peptides and Activities (4 papers), T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Health Informatics (22 citations), Immunology (209 citations), Microbiology (49 citations), Aquatic Science (40 citations) and Cancer Research (67 citations). Arman Rahman has collaborated with scholars based in Ireland, Sweden and United Kingdom. Frequent co-authors include Takeshi Matsunaga, William M. Gallagher, Marie‐Louise Hammarström, Bo Li, Fredrik Pontén, Evelina Sjöstedt, Gillian O’Hurley, Caroline Kampf, Cecilia Lindskog and Anna Fahlgren. Their work appears in journals such as Journal of Clinical Oncology, Expert Review of Molecular Diagnostics, Cancers, Cancer Research and Gastroenterology.
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.