David S. Leaf

1.1k citations
19 papers · 844 · h-index 14

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 3
    • Developmental Biology and Gene Regulation 3
    • Protist diversity and phylogeny 2
    • Cellular transport and secretion 4

David S. Leaf

19 papers receiving 817 citations

Peers

David S. Leaf
Comparison fields: 5 of 82
  • Aquatic Science 115
  • Ocean Engineering 159
  • Cell Biology 156
  • Oceanography 114
  • Molecular Biology 480
Replace Yoshito Harada with:
Yoshito Harada Japan
Joseph R. Schulz United States
Michael Stauber Germany
Richard M. Showman United States
H. Laufer United States
Meredith Gould‐Somero United States
Kevin G. Nyberg United States
N. E. Flower New Zealand
Nathan J. Kenny United Kingdom
Cindy Lewis United States
David S. Leaf relative to Yoshito Harada Japan Yoshito Harada's profile →
Citations per field
00.5×1.5×
Yoshito Harada · 1×
Citations per year

Countries citing papers authored by David S. Leaf

Since Specialization
Citations

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

Fields of papers citing papers by David S. Leaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2006131
2 1987106
3 198791
4 199780
5 198879
6 200673
7 200551
8 199045
9 200340
10 199236
11 198825
12 199323
13 198423
14 201916
15 199811
16 19968
17 19973
18 19872
19 19991

About David S. Leaf

David S. Leaf is a scholar working on Molecular Biology, Cell Biology, Oceanography, Global and Planetary Change and Surgery, having authored 19 papers that have together received 844 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Lipid Membrane Structure and Behavior (3 papers), Developmental Biology and Gene Regulation (3 papers), Pancreatic function and diabetes (2 papers), Echinoderm biology and ecology (2 papers), Ocean Acidification Effects and Responses (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Aquatic Science (115 citations), Ocean Engineering (159 citations), Cell Biology (156 citations), Oceanography (114 citations) and Molecular Biology (480 citations). David S. Leaf has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Mary Anne Pultz, Rudolf A. Raff, John A. Anstrom, Claude Desplan, Jia En Chin, Annette L. Parks, Ava E. Brent, Jeremy Lynch, Gary M. Wessel and S. D. Conner. Their work appears in journals such as Developmental Biology, Development, Nature, American Journal of Human Biology and Gene.

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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