Gary E. Dean

38 papers receiving 2.3k citations

Peers

Gary E. Dean
Comparison fields: 5 of 102
  • Cell Biology 379
  • Genetics 670
  • Structural Biology 47
  • Molecular Biology 916
  • Endocrinology 52
Replace Yoshiko Ohno‐Iwashita with:
Yoshiko Ohno‐Iwashita Japan
Michel Ledizet United States
IngMarie Nilsson Sweden
Angela Valeva Germany
Naomi S. Morrissette United States
Christos Gatsogiannis Germany
Benoît Zuber Switzerland
Paul Melançon Canada
Björn O. Forsberg Sweden
Dustin R. Morado United States
Gary E. Dean relative to Yoshiko Ohno‐Iwashita Japan Yoshiko Ohno‐Iwashita's profile →
Citations per field
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Yoshiko Ohno‐Iwashita · 1×
Citations per year

Countries citing papers authored by Gary E. Dean

Since Specialization
Citations

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

Fields of papers citing papers by Gary E. Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994318
2 1983297
3 1985176
4 1984168
5 2008168
6 1999154
7 1986146
8 1986144
9 199995
10 198493
11 199790
12 198367
13 199458
14 199355
15 200054
16 199750
17 198749
18 200838
19 199635
20 201930

About Gary E. Dean

Gary E. Dean is a scholar working on Cell Biology, Genetics, Molecular Biology, Physiology and Biochemistry, having authored 38 papers that have together received 2.5k indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (8 papers), Bacterial Genetics and Biotechnology (8 papers), Cellular transport and secretion (7 papers), Alzheimer's disease research and treatments (5 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Science Education and Pedagogy (2 papers), Bacillus and Francisella bacterial research (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Cell Biology (379 citations), Genetics (670 citations), Structural Biology (47 citations), Molecular Biology (916 citations) and Endocrinology (52 citations). Gary E. Dean has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robert M. Macnab, Gary Rudnick, Ira Mellman, Mark Marsh, J Stader, Philip Matsumura, Cynthia J. Galloway, Shin-Ichi Aizawa, Pamlea J. Nelson and Elaine O. Davis. Their work appears in journals such as Journal of Bacteriology, Journal of Neurochemistry, Proceedings of the National Academy of Sciences, Biochemistry and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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