Ben D. MacArthur
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
-
- Cell Image Analysis Techniques 7
- Hematology 10
- Hematopoietic Stem Cell Transplantation 7
- Co-authors
- Avi Ma’ayan (8 shared papers)Francesca Ferraro (2 shared papers)Paul S. Frenette (2 shared papers)Sérgio A. Lira (2 shared papers)Amin R. Mazloom (2 shared papers)Simón Méndez‐Ferrer (2 shared papers)Grigori Enikolopov (2 shared papers)Tatyana V. Michurina (2 shared papers)
- Journals
- Scientific Reports (4 papers)Nature (4 papers)Nature Communications (3 papers)Communications Biology (3 papers)Cell (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Ben D. MacArthur
71 papers receiving 5.2k citations
Ben D. MacArthur's Hit Papers
Peers
Comparison fields: 5 of 185
- Genetics 1.4k
- Hematology 1.4k
- Immunology 755
- Molecular Biology 2.1k
- Oncology 699
Countries citing papers authored by Ben D. MacArthur
This map shows the geographic impact of Ben D. MacArthur'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 Ben D. MacArthur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben D. MacArthur more than expected).
Fields of papers citing papers by Ben D. MacArthur
This network shows the impact of papers produced by Ben D. MacArthur. 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 Ben D. MacArthur. The network helps show where Ben D. MacArthur may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben D. MacArthur, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mesenchymal and haematopoietic stem cells form a unique bone marrow niche Hit paper breakdown → | 2010 | 2713 |
| 2 | 2009 | 287 | |
| 3 | 2009 | 233 | |
| 4 | A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases Hit paper breakdown → | 2020 | 205 |
| 5 | 2016 | 190 | |
| 6 | 2005 | 149 | |
| 7 | 2013 | 134 | |
| 8 | 2017 | 127 | |
| 9 | 2008 | 126 | |
| 10 | 2017 | 124 | |
| 11 | 2012 | 123 | |
| 12 | 2005 | 84 | |
| 13 | 2008 | 70 | |
| 14 | 2018 | 68 | |
| 15 | 2009 | 45 | |
| 16 | 2023 | 40 | |
| 17 | 2021 | 36 | |
| 18 | 2015 | 32 | |
| 19 | 2019 | 32 | |
| 20 | 2008 | 31 |
About Ben D. MacArthur
Ben D. MacArthur is a scholar working on Biophysics, Hematology, Molecular Biology, Genetics and Immunology, having authored 74 papers that have together received 5.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (18 papers), Single-cell and spatial transcriptomics (17 papers), Pluripotent Stem Cells Research (14 papers), Cell Image Analysis Techniques (7 papers), CRISPR and Genetic Engineering (7 papers), 3D Printing in Biomedical Research (7 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Cellular Mechanics and Interactions (6 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (1.4k citations), Immunology (755 citations), Molecular Biology (2.1k citations) and Oncology (699 citations). Ben D. MacArthur has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Avi Ma’ayan, Francesca Ferraro, Paul S. Frenette, Sérgio A. Lira, Amin R. Mazloom, Simón Méndez‐Ferrer, Grigori Enikolopov, Tatyana V. Michurina, David T. Scadden and Ihor R. Lemischka. Their work appears in journals such as Scientific Reports, Nature, Nature Communications, Communications Biology and Cell.
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.