Mark E. Robinson
Impact in
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- Immune Cell Function and Interaction
- interferon and immune responses
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- Adipose Tissue and Metabolism
Papers in ⓘ
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- Chronic Myeloid Leukemia Treatments 3
- Acute Myeloid Leukemia Research 2
- Genetics 3
- Co-authors
- Niklas Feldhahn (5 shared papers)Leandro Castellano (2 shared papers)Federica M. Marelli‐Berg (1 shared paper)Jakob Loschko (1 shared paper)Valeria Scagliotti (1 shared paper)Carles Gaston‐Massuet (1 shared paper)Elizabeth G. Wood (1 shared paper)Mathieu-Benoı̂t Voisin (1 shared paper)
- Journals
- Blood (3 papers)Proceedings of the National Academy of Sciences (2 papers)iScience (1 paper)Science Translational Medicine (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Mark E. Robinson
15 papers receiving 234 citations
Peers
Comparison fields: 5 of 47
- Immunology 81
- Physiology 61
- Epidemiology 79
- Hematology 21
- Cancer Research 22
Countries citing papers authored by Mark E. Robinson
This map shows the geographic impact of Mark E. Robinson'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 Mark E. Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Robinson more than expected).
Fields of papers citing papers by Mark E. Robinson
This network shows the impact of papers produced by Mark E. Robinson. 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 Mark E. Robinson. The network helps show where Mark E. Robinson may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark E. Robinson, 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 | 116 | |
| 2 | 2019 | 33 | |
| 3 | 2021 | 28 | |
| 4 | 2021 | 13 | |
| 5 | 2017 | 13 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 |
About Mark E. Robinson
Mark E. Robinson is a scholar working on Hematology, Genetics, Physiology, Cancer Research and Neurology, having authored 17 papers that have together received 236 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cancer, Lipids, and Metabolism (2 papers), Acute Myeloid Leukemia Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Ferroptosis and cancer prognosis (2 papers), Immune Cell Function and Interaction (2 papers) and Vascular Malformations Diagnosis and Treatment (2 papers). The work is most often cited by research in Immunology (81 citations), Physiology (61 citations), Epidemiology (79 citations), Hematology (21 citations) and Cancer Research (22 citations). Mark E. Robinson has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Niklas Feldhahn, Leandro Castellano, Federica M. Marelli‐Berg, Jakob Loschko, Valeria Scagliotti, Carles Gaston‐Massuet, Elizabeth G. Wood, Mathieu-Benoı̂t Voisin, Marika Charalambous and M. Paula Longhi. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, iScience, Science Translational Medicine and British Journal of Haematology.
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.