Daniel Geh
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
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- Immune cells in cancer 4
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- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Helen L. Reeves (7 shared papers)Jack Leslie (7 shared papers)Derek A. Mann (7 shared papers)Thomas G. Bird (1 shared paper)Caroline Gordon (1 shared paper)Quentin M. Anstee (1 shared paper)Derek Manas (1 shared paper)Ayako Kurioka (1 shared paper)
- Journals
- Journal of Hepatology (3 papers)Hepatology (2 papers)Nature Reviews Gastroenterology & Hepatology (2 papers)Cancers (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- United KingdomTürkiyeMalaysia
In The Last Decade
Daniel Geh
16 papers receiving 623 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Hepatology 228
- Immunology 244
- Epidemiology 213
- Cancer Research 88
- Oncology 143
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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 167 | |
| 2 | Neutrophils as potential therapeutic targets in hepatocellular carcinoma Hit paper breakdown → | 2022 | 142 |
| 3 | 2021 | 107 | |
| 4 | 2021 | 47 | |
| 5 | 2021 | 42 | |
| 6 | 2022 | 34 | |
| 7 | 2018 | 33 | |
| 8 | 2019 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 3 | |
| 14 | 2015 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Daniel Geh
Daniel Geh is a scholar working on Immunology, Epidemiology, Oncology, Hepatology and Cancer Research, having authored 17 papers that have together received 628 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Immune cells in cancer (4 papers), Cancer, Lipids, and Metabolism (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Hepatitis C virus research (2 papers), Nanoplatforms for cancer theranostics (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Hepatology (228 citations), Immunology (244 citations), Epidemiology (213 citations), Cancer Research (88 citations) and Oncology (143 citations). Daniel Geh has collaborated with scholars based in United Kingdom, Türkiye and Malaysia. Frequent co-authors include Helen L. Reeves, Jack Leslie, Derek A. Mann, Thomas G. Bird, Caroline Gordon, Quentin M. Anstee, Derek Manas, Ayako Kurioka, David Adams and Stuart Hunter. Their work appears in journals such as Journal of Hepatology, Hepatology, Nature Reviews Gastroenterology & Hepatology, Cancers and Clinical Infectious Diseases.
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.