Mitchell J. Geer
Impact in
- Hematology top 10%
- Platelet Disorders and Treatments
-
- Galectins and Cancer Biology
Papers in
-
- Complement system in diseases 3
- Galectins and Cancer Biology 2
- interferon and immune responses 2
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- Protein Tyrosine Phosphatases 5
- Angiogenesis and VEGF in Cancer 1
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Yotis A. Senis (6 shared papers)Benjamin G. Neel (4 shared papers)Carmen Coxon (1 shared paper)Wei Wei (1 shared paper)Carmine Fedele (1 shared paper)Uğur Özerdem (1 shared paper)Kiyomi Y. Araki (2 shared papers)Kwan Ho Tang (1 shared paper)
- Journals
- Blood (4 papers)The Journal of Experimental Medicine (1 paper)Research and Practice in Thrombosis and Haemostasis (1 paper)Proceedings of the National Academy of Sciences (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mitchell J. Geer
9 papers receiving 394 citations
Peers
Comparison fields: 5 of 49
- Hematology 100
- Immunology 110
- Immunology and Allergy 23
- Oncology 94
- Molecular Biology 237
Countries citing papers authored by Mitchell J. Geer
This map shows the geographic impact of Mitchell J. Geer'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 Mitchell J. Geer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell J. Geer more than expected).
Fields of papers citing papers by Mitchell J. Geer
This network shows the impact of papers produced by Mitchell J. Geer. 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 Mitchell J. Geer. The network helps show where Mitchell J. Geer may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell J. Geer, 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 | 2018 | 213 | |
| 2 | 2017 | 61 | |
| 3 | 2018 | 46 | |
| 4 | 2018 | 32 | |
| 5 | 2023 | 18 | |
| 6 | 2018 | 18 | |
| 7 | 2022 | 6 | |
| 8 | 2024 | 3 | |
| 9 | 2025 | 2 |
About Mitchell J. Geer
Mitchell J. Geer is a scholar working on Immunology, Molecular Biology, Hematology, Immunology and Allergy and Infectious Diseases, having authored 9 papers that have together received 399 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (5 papers), Platelet Disorders and Treatments (5 papers), Complement system in diseases (3 papers), Galectins and Cancer Biology (2 papers), interferon and immune responses (2 papers), Cell Adhesion Molecules Research (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (100 citations), Immunology (110 citations), Immunology and Allergy (23 citations), Oncology (94 citations) and Molecular Biology (237 citations). Mitchell J. Geer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Yotis A. Senis, Benjamin G. Neel, Carmen Coxon, Wei Wei, Carmine Fedele, Uğur Özerdem, Kiyomi Y. Araki, Kwan Ho Tang, Brian Diskin and Jayu Jen. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Research and Practice in Thrombosis and Haemostasis, Proceedings of the National Academy of Sciences and Cancer Discovery.
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.