Arman Rahman
Impact in
- Health Informatics top 10%
- Immunology top 10%
- Aquaculture disease management and microbiota
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
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- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 3
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- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Takeshi Matsunaga (2 shared papers)William M. Gallagher (15 shared papers)Fredrik Pontén (1 shared paper)Bo Li (1 shared paper)Gillian O’Hurley (1 shared paper)Caroline Kampf (1 shared paper)Cecilia Lindskog (1 shared paper)Evelina Sjöstedt (1 shared paper)
- Journals
- Expert Review of Molecular Diagnostics (4 papers)The Journal of Pathology (3 papers)Cancers (2 papers)Cancer Research (2 papers)Research Involvement and Engagement (1 paper)
- Partner nations
- IrelandSwedenUnited Kingdom
In The Last Decade
Arman Rahman
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 117
- Health Informatics 23
- Immunology 285
- Oncology 262
- Cancer Research 139
- Microbiology 53
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 193 | |
| 2 | 2014 | 130 | |
| 3 | 1998 | 115 | |
| 4 | 2001 | 57 | |
| 5 | 2017 | 46 | |
| 6 | 2022 | 39 | |
| 7 | 2010 | 35 | |
| 8 | 2009 | 34 | |
| 9 | 2023 | 34 | |
| 10 | 2021 | 33 | |
| 11 | 2017 | 31 | |
| 12 | 2007 | 30 | |
| 13 | 2020 | 28 | |
| 14 | 2024 | 28 | |
| 15 | 2020 | 27 | |
| 16 | 2023 | 27 | |
| 17 | 2020 | 26 | |
| 18 | 2011 | 24 | |
| 19 | 2022 | 23 | |
| 20 | 2005 | 14 |
About Arman Rahman
Arman Rahman is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Microbiology and Biophysics, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Antimicrobial Peptides and Activities (4 papers), Cancer Genomics and Diagnostics (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Health Informatics (23 citations), Immunology (285 citations), Oncology (262 citations), Cancer Research (139 citations) and Microbiology (53 citations). Arman Rahman has collaborated with scholars based in Ireland, Sweden and United Kingdom. Frequent co-authors include Takeshi Matsunaga, William M. Gallagher, Fredrik Pontén, Bo Li, Gillian O’Hurley, Caroline Kampf, Cecilia Lindskog, Evelina Sjöstedt, Marie‐Louise Hammarström and Anna Fahlgren. Their work appears in journals such as Expert Review of Molecular Diagnostics, The Journal of Pathology, Cancers, Cancer Research and Research Involvement and Engagement.
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.