David E. Wolf

3.6k citations
102 papers · 3.1k · h-index 29

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 22
    • Protein Interaction Studies and Fluorescence Analysis 7
    • Computational Fluid Dynamics and Aerodynamics 17
    • Fluid Dynamics and Turbulent Flows 12

David E. Wolf

100 papers receiving 2.8k citations

Peers

David E. Wolf
Comparison fields: 5 of 142
  • Reproductive Medicine 520
  • Biophysics 351
  • Molecular Biology 1.9k
  • Physiology 94
  • Cellular and Molecular Neuroscience 316
Replace R P Haugland with:
R P Haugland United States
Jacob A. Aten Netherlands
D E Koppel United States
Yves Usson France
Victoria E. Centonze United States
Keith R. Willison United Kingdom
Diego Krapf United States
Stephen Cheley United States
Tatiana Karpova United States
Christopher D. Wood Mexico
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Citations per field
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Citations per year

Countries citing papers authored by David E. Wolf

Since Specialization
Citations

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

Fields of papers citing papers by David E. Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988405
2 1998234
3 1980159
4 1986117
5 1981113
6 1984100
7 199295
8 199582
9 197777
10 198070
11 198368
12 199066
13 199664
14 198963
15 198161
16 200754
17 198554
18 198849
19 198548
20 198746

About David E. Wolf

David E. Wolf is a scholar working on Molecular Biology, Computational Mechanics, Aerospace Engineering, Biophysics and Reproductive Medicine, having authored 102 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (22 papers), Computational Fluid Dynamics and Aerodynamics (17 papers), Advanced Fluorescence Microscopy Techniques (13 papers), Sperm and Testicular Function (13 papers), Fluid Dynamics and Turbulent Flows (12 papers), Proteins in Food Systems (9 papers), Aerodynamics and Acoustics in Jet Flows (8 papers) and Protein Interaction Studies and Fluorescence Analysis (7 papers). The work is most often cited by research in Reproductive Medicine (520 citations), Biophysics (351 citations), Molecular Biology (1.9k citations), Physiology (94 citations) and Cellular and Molecular Neuroscience (316 citations). David E. Wolf has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Richard A. Cardullo, Michael Edidin, C. Flores, Paul C. Zamecnik, Sudhir Agrawal, Richard D. Klausner, Sukanta Dash, Thoru Pederson, Joan C. Ritland Politz and Elizabeth Browne. Their work appears in journals such as Biochemistry, The Journal of Cell Biology, AIAA Journal, Proceedings of the National Academy of Sciences and Developmental 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.

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