David R. Inman

34 papers receiving 4.6k citations

David R. Inman's Hit Papers

Matrix density-induced mechanoregulation of breast cell phenotype, signaling and gene expression through a FAK–ERK linkage 2009 · 532 citations
5320+6+13Years since publication4008001.2k

Peers

David R. Inman
Comparison fields: 5 of 124
  • Cell Biology 1.9k
  • Immunology and Allergy 689
  • Biophysics 393
  • Oncology 1.7k
  • Cancer Research 689
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Matthew J. Paszek United States
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Citations per year

Countries citing papers authored by David R. Inman

Since Specialization
Citations

This map shows the geographic impact of David R. Inman'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 David R. Inman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Inman more than expected).

Fields of papers citing papers by David R. Inman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Inman. 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 David R. Inman. The network helps show where David R. Inman may publish in the future.

Co-authors

The 25 scholars most cited alongside David R. Inman, 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 David R. Inman Line = papers co-authored together David R. Inman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Collagen reorganization at the tumor-stromal interface facilitates local invasion
Hit paper breakdown →
20061385
2
Collagen density promotes mammary tumor initiation and progression
Hit paper breakdown →
20081076
3
Matrix density-induced mechanoregulation of breast cell phenotype, signaling and gene expression through a FAK–ERK linkage
Hit paper breakdown →
2009532
4 2008389
5 2020220
6 2008116
7 199491
8 201687
9 201778
10 200374
11 201273
12 201662
13 201659
14 200850
15 200848
16 202042
17 202038
18 202134
19 201027
20 202024

About David R. Inman

David R. Inman is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Cell Biology and Immunology and Allergy, having authored 34 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Cellular Mechanics and Interactions (7 papers), Cell Adhesion Molecules Research (6 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Nanoplatforms for cancer theranostics (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Immune cells in cancer (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cell Biology (1.9k citations), Immunology and Allergy (689 citations), Biophysics (393 citations), Oncology (1.7k citations) and Cancer Research (689 citations). David R. Inman has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Kevin W. Eliceiri, Paolo P. Provenzano, Patricia J. Keely, John G. White, Jay M. Campbell, Curtis Rueden, Yan Long, Justin Knittel, Suzanne M. Ponik and Steven M. Trier. Their work appears in journals such as Cancer Research, BMC Medicine, Breast Cancer Research, Analytical Chemistry and Journal of Visualized Experiments.

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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