Ben D. MacArthur

7.1k citations
70 papers · 4.9k indexed · 1 hit paper · h-index 23

Impact in

  • Genetics top 0.5%
    • Mesenchymal stem cell research
  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

Ben D. MacArthur

66 papers receiving 4.8k citations

Hit Papers

Mesenchymal and haematopoietic stem cells form a unique bone marrow niche 2010 · 2.5k citations
2.5k201020262015202050010001.5k2.0k2.5k

Peers

Ben D. MacArthur
Comparison fields: 5 of 180
  • Genetics 1.4k
  • Hematology 1.4k
  • Immunology 780
  • Molecular Biology 2.0k
  • Health Informatics 34
Replace Andrew P. Weng with:
Andrew P. Weng Canada
Thomas Hielscher Germany
Paul J. Zhang United States
Ingo Roeder Germany
Tobias Bäuerle Germany
Carlo Alberto Beltrami Italy
Frank Berthold Germany
Tao Shi China
Marvin D. Nelson United States
Ganesh Rao United States
Ben D. MacArthur relative to Andrew P. Weng Canada Andrew P. Weng's profile →
Citations per field
00.5×
Andrew P. Weng · 1×
Citations per year

Countries citing papers authored by Ben D. MacArthur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Ben D. MacArthur Line = papers co-authored together Ben D. MacArthur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20256
3 20250
4 20254
5 20243
6 20233
7 20223
8 202111
9 202110
10 202018
11 202013
12
Hypergraph Automorphims
20201
13 202012
14 201713
15 2017111
16 2017114
17 20161
18 200818
19
Symmetry in Complex Networks
20071
20 20056

About Ben D. MacArthur

Ben D. MacArthur is a scholar working on Health Informatics, Biophysics, Hematology, Statistical and Nonlinear Physics and Genetics, having authored 70 papers that have together received 4.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (16 papers), Gene Regulatory Network Analysis (16 papers), Pluripotent Stem Cells Research (13 papers), Cellular Mechanics and Interactions (6 papers), CRISPR and Genetic Engineering (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), 3D Printing in Biomedical Research (6 papers) and Cell Image Analysis Techniques (5 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (1.4k citations), Immunology (780 citations), Molecular Biology (2.0k citations) and Health Informatics (34 citations). Ben D. MacArthur has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Avi Ma’ayan, Grigori Enikolopov, Amin R. Mazloom, Francesca Ferraro, David T. Scadden, Tatyana V. Michurina, Paul S. Frenette, Simón Méndez‐Ferrer, Sérgio A. Lira and Ihor R. Lemischka. Their work appears in journals such as Scientific Reports, Nature, Nature Communications, Communications Biology and PLoS ONE.

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.

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