David Popp

50 papers receiving 3.1k citations

David Popp's Hit Papers

Atomic model of the actin filament 1990 · 1.4k citations
1.4k0+12+24Years since publication4008001.2k

Peers

David Popp
Comparison fields: 5 of 124
  • Structural Biology 125
  • Cell Biology 1.4k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Biophysics 294
  • Molecular Biology 1.6k
Replace Yuichiro Maéda with:
Yuichiro Maéda Japan
Albina Orlova United States
Kazuo Sutoh Japan
Akihiko Ishijima Japan
Hideo Higuchi Japan
Yoko Y. Toyoshima Japan
Atsuko H. Iwane Japan
Akihiro Narita Japan
Justin E. Molloy United Kingdom
Ronald S. Rock United States
David Popp relative to Yuichiro Maéda Japan Yuichiro Maéda's profile →
Citations per field
00.5×1.5×
Yuichiro Maéda · 1×
Citations per year

Countries citing papers authored by David Popp

Since Specialization
Citations

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

Fields of papers citing papers by David Popp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Atomic model of the actin filament
Hit paper breakdown →
19901361
2 1993447
3 2015224
4 1995199
5 200993
6 199491
7 200865
8 201051
9 199942
10 198741
11 201039
12 201038
13 201337
14 199137
15 201027
16 200627
17
Preferential labeling of glial and meningial brain tumors with [2-(14)C]acetate.
200126
18 201224
19 200623
20 199321

About David Popp

David Popp is a scholar working on Cell Biology, Molecular Biology, Atomic and Molecular Physics, and Optics, Genetics and Ecology, having authored 52 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (15 papers), Force Microscopy Techniques and Applications (12 papers), Bacterial Genetics and Biotechnology (12 papers), Bacteriophages and microbial interactions (11 papers), Cardiomyopathy and Myosin Studies (10 papers), Microtubule and mitosis dynamics (6 papers), Cellular transport and secretion (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Structural Biology (125 citations), Cell Biology (1.4k citations), Cardiology and Cardiovascular Medicine (1.3k citations), Biophysics (294 citations) and Molecular Biology (1.6k citations). David Popp has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Kenneth C. Holmes, Wolfgang Kabsch, Michael G. Lorenz, Robert Robinson, Yuichiro Maéda, Umesh Ghoshdastider, Akihiro Narita, Mitsusada Iwasa, Peter W. Gunning and K. J. V. Poole. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, Biophysical Journal, Biochemical and Biophysical Research Communications and Journal of Structural 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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