Gabriel K. Griffin
- Hematology top 2%
- Immunology top 5%
- Immunotherapy and Immune Responses 4
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 4
- Dermatology top 2%
- Cutaneous lymphoproliferative disorders research 7
- Oncology top 5%
- CAR-T cell therapy research 8
- Cancer Immunotherapy and Biomarkers 5
- Viral-associated cancers and disorders 5
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- Lymphoma Diagnosis and Treatment 6
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- Histiocytic Disorders and Treatments 4
- Co-authors
- Andrew H. LichtmanJoseph G. L. LeeCathy L. MelvinDe-xiu BuFrancis W. LuscinskasGail NewtonKevin CroceAndrew A. Lane
- Cited by
- HematologyImmunologyCancer Research
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Gabriel K. Griffin
31 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Hematology 512
- Immunology 767
- Cancer Research 395
- Dermatology 208
- Oncology 602
Countries citing papers authored by Gabriel K. Griffin
This map shows the geographic impact of Gabriel K. Griffin'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 Gabriel K. Griffin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel K. Griffin more than expected).
Fields of papers citing papers by Gabriel K. Griffin
This network shows the impact of papers produced by Gabriel K. Griffin. 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 Gabriel K. Griffin. The network helps show where Gabriel K. Griffin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriel K. Griffin, 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 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 29 | |
| 5 | 2022 | 74 | |
| 6 | 2022 | 9 | |
| 7 | 2020 | 9 | |
| 8 | Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunitybreakdown → | 2019 | 613 |
| 9 | 2019 | 62 | |
| 10 | 2018 | 46 | |
| 11 | 2018 | 2 | |
| 12 | 2017 | 22 | |
| 13 | 2017 | 0 | |
| 14 | 2016 | 144 | |
| 15 | 2015 | 6 | |
| 16 | 2014 | 10 | |
| 17 | NF-κB Directs Dynamic Super Enhancer Formation in Inflammation and Atherogenesisbreakdown → | 2014 | 453 |
| 18 | 2012 | 2 | |
| 19 | 2011 | 186 | |
| 20 | 2009 | 304 |
About Gabriel K. Griffin
Gabriel K. Griffin is a scholar working on Dermatology, Immunology and Oncology, having authored 34 papers that have together received 2.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Cutaneous lymphoproliferative disorders research (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Viral-associated cancers and disorders (5 papers), Histiocytic Disorders and Treatments (4 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Hematology (512 citations), Immunology (767 citations) and Cancer Research (395 citations). Gabriel K. Griffin has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Andrew H. Lichtman, Joseph G. L. Lee, Cathy L. Melvin, De-xiu Bu, Francis W. Luscinskas, Gail Newton, Kevin Croce, Andrew A. Lane, Jon C. Aster and Jason Stephansky. Their work appears in journals such as Nature, Cell and Circulation.
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.