Mark E. Robinson
Impact in
-
- Immune Cell Function and Interaction
- interferon and immune responses
-
- Adipose Tissue and Metabolism
Papers in
-
- Genomics and Chromatin Dynamics 2
-
- Chronic Myeloid Leukemia Treatments 3
- Acute Myeloid Leukemia Research 2
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Niklas Feldhahn (5 shared papers)Leandro Castellano (2 shared papers)Mathieu-Benoı̂t Voisin (1 shared paper)M. Paula Longhi (1 shared paper)Federica M. Marelli‐Berg (1 shared paper)Marika Charalambous (1 shared paper)Carles Gaston‐Massuet (1 shared paper)Jakob Loschko (1 shared paper)
- Journals
- Blood (3 papers)Proceedings of the National Academy of Sciences (2 papers)British Journal of Haematology (1 paper)Circulation (1 paper)Haematologica (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Mark E. Robinson
16 papers receiving 260 citations
Peers
Comparison fields: 5 of 48
- Immunology 77
- Physiology 56
- Epidemiology 71
- Hematology 21
- Cancer Research 20
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 | 122 | |
| 2 | 2019 | 36 | |
| 3 | 2021 | 33 | |
| 4 | 2020 | 14 | |
| 5 | 2021 | 13 | |
| 6 | 2017 | 13 | |
| 7 | 2024 | 6 | |
| 8 | 2019 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 |
About Mark E. Robinson
Mark E. Robinson is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Cancer Research and Genetics, having authored 17 papers that have together received 260 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer, Lipids, and Metabolism (2 papers), Immune Cell Function and Interaction (2 papers), Acute Myeloid Leukemia Research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Immunology (77 citations), Physiology (56 citations), Epidemiology (71 citations), Hematology (21 citations) and Cancer Research (20 citations). Mark E. Robinson has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Niklas Feldhahn, Leandro Castellano, Mathieu-Benoı̂t Voisin, M. Paula Longhi, Federica M. Marelli‐Berg, Marika Charalambous, Carles Gaston‐Massuet, Jakob Loschko, Elizabeth G. Wood and Féaron C. Cassidy. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, British Journal of Haematology, Circulation and Haematologica.
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.