James Ropa
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
-
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- RNA modifications and cancer
Papers in
- Hematology 23
- Acute Myeloid Leukemia Research 14
- Hematopoietic Stem Cell Transplantation 11
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- Epigenetics and DNA Methylation 10
- Protein Degradation and Inhibitors 6
- Co-authors
- Hal E. Broxmeyer (16 shared papers)Andrew G. Muntean (10 shared papers)Maegan L. Capitano (15 shared papers)Scott Cooper (9 shared papers)Wouter Van’t Hof (4 shared papers)N. Saha (5 shared papers)Zaneta Nikolovska‐Coleska (6 shared papers)Venkatesha Basrur (2 shared papers)
- Journals
- Blood (6 papers)Leukemia (5 papers)Current Opinion in Hematology (3 papers)Stem Cells (2 papers)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
James Ropa
34 papers receiving 522 citations
Peers
Comparison fields: 5 of 64
- Hematology 151
- Molecular Biology 343
- Genetics 52
- Immunology 93
- Cancer Research 65
Countries citing papers authored by James Ropa
This map shows the geographic impact of James Ropa'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 Ropa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Ropa more than expected).
Fields of papers citing papers by James Ropa
This network shows the impact of papers produced by James Ropa. 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 Ropa. The network helps show where James Ropa may publish in the future.
Co-authors
The 25 scholars most cited alongside James Ropa, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 92 | |
| 2 | 2020 | 59 | |
| 3 | 2015 | 47 | |
| 4 | 2017 | 32 | |
| 5 | 2019 | 27 | |
| 6 | 2020 | 27 | |
| 7 | 2018 | 24 | |
| 8 | 2012 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2020 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2021 | 8 |
About James Ropa
James Ropa is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Physiology, having authored 38 papers that have together received 526 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Hematopoietic Stem Cell Transplantation (11 papers), Epigenetics and DNA Methylation (10 papers), Immune Cell Function and Interaction (7 papers), Protein Degradation and Inhibitors (6 papers), Erythrocyte Function and Pathophysiology (4 papers), Immunotherapy and Immune Responses (4 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Hematology (151 citations), Molecular Biology (343 citations), Genetics (52 citations), Immunology (93 citations) and Cancer Research (65 citations). James Ropa has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Hal E. Broxmeyer, Andrew G. Muntean, Maegan L. Capitano, Scott Cooper, Wouter Van’t Hof, N. Saha, Zaneta Nikolovska‐Coleska, Venkatesha Basrur, Alexey I. Nesvizhskii and Tomasz Cierpicki. Their work appears in journals such as Blood, Leukemia, Current Opinion in Hematology, Stem Cells and Journal of Leukocyte Biology.
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.