Hashem Koohy
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
- Immunology 17
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 7
- Co-authors
- Alison SimmonsAgne AntanaviciuteMarta JagielowiczKaushal ParikhDavid Fawkner-CorbettNeil AshleyGraham S. OggRory Bowden
- Journals
- Frontiers in Immunology (5 papers)Cell (2 papers)PLoS ONE (2 papers)Nature Methods (1 paper)Nature reviews. Immunology (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Hashem Koohy
29 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 598
- Oncology 310
- Molecular Biology 765
- Genetics 252
- Gastroenterology 49
Countries citing papers authored by Hashem Koohy
This map shows the geographic impact of Hashem Koohy'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 Hashem Koohy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hashem Koohy more than expected).
Fields of papers citing papers by Hashem Koohy
This network shows the impact of papers produced by Hashem Koohy. 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 Hashem Koohy. The network helps show where Hashem Koohy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hashem Koohy, 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 | 2024 | 2 | |
| 2 | 2024 | 14 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 8 | |
| 6 | Can we predict T cell specificity with digital biology and machine learning? Hit paper breakdown → | 2023 | 105 |
| 7 | 2022 | 24 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 13 | |
| 10 | Spatiotemporal analysis of human intestinal development at single-cell resolution Hit paper breakdown → | 2021 | 296 |
| 11 | 2021 | 21 | |
| 12 | 2020 | 46 | |
| 13 | 2020 | 38 | |
| 14 | 2020 | 129 | |
| 15 | Structural Remodeling of the Human Colonic Mesenchyme in Inflammatory Bowel Disease Hit paper breakdown → | 2018 | 450 |
| 16 | 2017 | 23 | |
| 17 | 2016 | 48 | |
| 18 | 2014 | 25 | |
| 19 | 2014 | 47 | |
| 20 | 2013 | 49 |
About Hashem Koohy
Hashem Koohy is a scholar working on Immunology, Algebra and Number Theory, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (11 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Genomics and Chromatin Dynamics (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Immunology (598 citations), Oncology (310 citations), Molecular Biology (765 citations), Genetics (252 citations) and Gastroenterology (49 citations). Hashem Koohy has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Alison Simmons, Agne Antanaviciute, Marta Jagielowicz, Kaushal Parikh, David Fawkner-Corbett, Neil Ashley, Graham S. Ogg, Rory Bowden, Thomas A. Down and Tarun Gupta. Their work appears in journals such as Frontiers in Immunology, Cell, PLoS ONE, Nature Methods and Nature reviews. Immunology.
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.