Daniel Geh
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Diseases and Immunity
- Liver physiology and pathology
- Aging top 10%
Papers in
- Hepatology 10
- Hepatocellular Carcinoma Treatment and Prognosis 8
- Liver physiology and pathology 1
- Hepatitis C virus research 1
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- T-cell and B-cell Immunology 2
- Immune cells in cancer 2
- Co-authors
- Helen Louise Reeves (7 shared papers)Jack Leslie (7 shared papers)Derek A. Mann (7 shared papers)Thomas Graham Bird (1 shared paper)Caroline Gordon (1 shared paper)Quentin Mark Anstee (1 shared paper)Derek Manas (1 shared paper)Erik Ramon‐Gil (4 shared papers)
- Journals
- Journal of Hepatology (3 papers)Hepatology (2 papers)Nature Reviews Gastroenterology & Hepatology (2 papers)Clinical Infectious Diseases (1 paper)Liver Cancer (1 paper)
- Partner nations
- United KingdomTürkiyeUnited States
In The Last Decade
Daniel Geh
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Hepatology 409
- Aging 26
- Immunology 241
- Oncology 209
- Epidemiology 158
Countries citing papers authored by Daniel Geh
This map shows the geographic impact of Daniel Geh'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 Daniel Geh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Geh more than expected).
Fields of papers citing papers by Daniel Geh
This network shows the impact of papers produced by Daniel Geh. 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 Daniel Geh. The network helps show where Daniel Geh may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Geh, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 185 | |
| 2 | 2022 | 177 | |
| 3 | 2021 | 169 | |
| 4 | 2022 | 163 | |
| 5 | 2021 | 128 | |
| 6 | 2021 | 53 | |
| 7 | 2021 | 51 | |
| 8 | 2022 | 41 | |
| 9 | 2018 | 38 | |
| 10 | 2024 | 27 | |
| 11 | 2022 | 25 | |
| 12 | 2019 | 16 | |
| 13 | 2014 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2023 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 9 | |
| 18 | 2023 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 2 |
About Daniel Geh
Daniel Geh is a scholar working on Hepatology, Immunology, Oncology, Rheumatology and Microbiology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cancer Immunotherapy and Biomarkers (2 papers), T-cell and B-cell Immunology (2 papers), Immune cells in cancer (2 papers), COVID-19 and healthcare impacts (2 papers), Liver physiology and pathology (1 paper), Hepatitis C virus research (1 paper) and Pediatric Hepatobiliary Diseases and Treatments (1 paper). The work is most often cited by research in Hepatology (409 citations), Aging (26 citations), Immunology (241 citations), Oncology (209 citations) and Epidemiology (158 citations). Daniel Geh has collaborated with scholars based in United Kingdom, Türkiye and United States. Frequent co-authors include Helen Louise Reeves, Jack Leslie, Derek A. Mann, Thomas Graham Bird, Caroline Gordon, Quentin Mark Anstee, Derek Manas, Erik Ramon‐Gil, Ayako Kurioka and Emma E. Dutton. Their work appears in journals such as Journal of Hepatology, Hepatology, Nature Reviews Gastroenterology & Hepatology, Clinical Infectious Diseases and Liver Cancer.
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.