James Geib
Impact in
- Virology top 10%
- HIV Research and Treatment
- Hematology top 10%
- Platelet Disorders and Treatments
- Blood groups and transfusion
Papers in
- Co-authors
- Steven S. Carroll (3 shared papers)Lawrence C. Kuo (3 shared papers)David B. Olsen (2 shared papers)Mark W. Stahlhut (2 shared papers)John D. Gehman (2 shared papers)Jules A. Shafer (1 shared paper)Ben Adeyi (1 shared paper)Hedy Teppler (1 shared paper)
- Journals
- Annals of Oncology (5 papers)Journal of Biological Chemistry (3 papers)Blood (3 papers)Journal of Clinical Oncology (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
James Geib
21 papers receiving 396 citations
Peers
Comparison fields: 5 of 56
- Virology 59
- Hematology 112
- Applied Microbiology and Biotechnology 15
- Hepatology 48
- Genetics 56
Countries citing papers authored by James Geib
This map shows the geographic impact of James Geib'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 James Geib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Geib more than expected).
Fields of papers citing papers by James Geib
This network shows the impact of papers produced by James Geib. 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 James Geib. The network helps show where James Geib may publish in the future.
Co-authors
The 25 scholars most cited alongside James Geib, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 99 | |
| 2 | 2002 | 56 | |
| 3 | 1996 | 53 | |
| 4 | 1994 | 51 | |
| 5 | 2022 | 24 | |
| 6 | 1997 | 22 | |
| 7 | 1994 | 17 | |
| 8 | 2018 | 14 | |
| 9 | FINAL RESULTS OF ENABLE 1, A PHASE 3, MULTICENTER STUDY OF ELTROMBOPAG AS AN ADJUNCT FOR ANTIVIRAL TREATMENT OF HEPATITIS C VIRUS-RELATED CHRONIC LIVER DISEASE ASSOCIATED WITH THROMBOCYTOPENIA | 2011 | 12 |
| 10 | 2017 | 11 | |
| 11 | 2024 | 11 | |
| 12 | 2021 | 8 | |
| 13 | 2015 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2011 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2012 | 4 | |
| 18 | 2018 | 2 | |
| 19 | 2018 | 1 | |
| 20 | 2015 | 1 |
About James Geib
James Geib is a scholar working on Genetics, Oncology, Molecular Biology, Infectious Diseases and Hematology, having authored 21 papers that have together received 406 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (5 papers), Hemoglobinopathies and Related Disorders (5 papers), HIV/AIDS drug development and treatment (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Hepatitis C virus research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Virology (59 citations), Hematology (112 citations), Applied Microbiology and Biotechnology (15 citations), Hepatology (48 citations) and Genetics (56 citations). James Geib has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Steven S. Carroll, Lawrence C. Kuo, David B. Olsen, Mark W. Stahlhut, John D. Gehman, Jules A. Shafer, Ben Adeyi, Hedy Teppler, Mohinder K. Sardana and Álvaro Fernández-Quilez. Their work appears in journals such as Annals of Oncology, Journal of Biological Chemistry, Blood, Journal of Clinical Oncology and Journal of Hepatology.
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.