David Simpson

4.3k citations
92 papers · 3.2k · h-index 30

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 12
    • Lipid Membrane Structure and Behavior 5
    • Tissue Engineering and Regenerative Medicine 11

David Simpson

88 papers receiving 3.0k citations

Peers

David Simpson
Comparison fields: 5 of 158
  • Biomaterials 656
  • Anesthesiology and Pain Medicine 201
  • Cell Biology 381
  • Periodontics 94
  • Developmental Neuroscience 83
Replace Nobuo Sasaki with:
Nobuo Sasaki Japan
Tatsuya Okamoto Japan
Bruce Klitzman United States
Christopher M. Waters United States
Michael J. Sherratt United Kingdom
Fred J. Clubb United States
Koji Takahashi Japan
H. Paul Ehrlich United States
Jian Liu China
R. Rivkah Isseroff United States
David Simpson relative to Nobuo Sasaki Japan Nobuo Sasaki's profile →
Citations per field
00.5×3.6×
Nobuo Sasaki · 1×
Citations per year

Countries citing papers authored by David Simpson

Since Specialization
Citations

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

Fields of papers citing papers by David Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001329
2 1973191
3 1982168
4 2011162
5 2007156
6 1974129
7 1970112
8 1987103
9 2012103
10 1991101
11 199898
12 197897
13 199585
14 199277
15 197772
16 197468
17 200765
18 198859
19 200758
20 197856

About David Simpson

David Simpson is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Cell Biology and Biomaterials, having authored 92 papers that have together received 3.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Tissue Engineering and Regenerative Medicine (11 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Mesenchymal stem cell research (6 papers), Lipid Membrane Structure and Behavior (5 papers), Toxin Mechanisms and Immunotoxins (5 papers), Airway Management and Intubation Techniques (4 papers) and Mechanical Behavior of Composites (4 papers). The work is most often cited by research in Biomaterials (656 citations), Anesthesiology and Pain Medicine (201 citations), Cell Biology (381 citations), Periodontics (94 citations) and Developmental Neuroscience (83 citations). David Simpson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Steven D. Rosen, Samuel H. Barondes, Gary L. Bowlin, Eugene D. Boland, Horace H. Loh, Gary E. Wnek, Kristin J. Pawlowski, Harvey R. Herschman, Samuel C. Dudley and John H. Pazur. Their work appears in journals such as Biochemistry, Anaesthesia, Circulation, Stem Cells and Tobacco Control.

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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