David F. Blair

7.9k citations
77 papers · 6.4k · h-index 48

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 25
    • Lipid Membrane Structure and Behavior 16
    • Protein Structure and Dynamics 9
    • RNA and protein synthesis mechanisms 9
    • Bacterial Genetics and Biotechnology 44

David F. Blair

75 papers receiving 6.3k citations

Peers

David F. Blair
Comparison fields: 5 of 115
  • Endocrinology 687
  • Genetics 2.7k
  • Structural Biology 132
  • Cellular and Molecular Neuroscience 1.6k
  • Condensed Matter Physics 1.0k
Replace Michio Homma with:
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Robert M. Macnab United States
Michael D. Manson United States
Gerald L. Hazelbauer United States
Keiichi Namba Japan
Ikuro Kawagishi Japan
Lotte Søgaard‐Andersen Germany
David F. Blair relative to Michio Homma Japan Michio Homma's profile →
Citations per field
00.5×1.5×
Michio Homma · 1×
Citations per year

Countries citing papers authored by David F. Blair

Since Specialization
Citations

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

Fields of papers citing papers by David F. Blair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010334
2 1989329
3 1998272
4 1990263
5 1995260
6 2008248
7 1988232
8 2001187
9 1998187
10 2004167
11 2003162
12 2010150
13 1996144
14 2003140
15 1997131
16 1995117
17 1997116
18 2003112
19 1986110
20 2002110

About David F. Blair

David F. Blair is a scholar working on Molecular Biology, Genetics, Cell Biology, Cellular and Molecular Neuroscience and Electrochemistry, having authored 77 papers that have together received 6.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (44 papers), Photosynthetic Processes and Mechanisms (25 papers), Lipid Membrane Structure and Behavior (16 papers), Microtubule and mitosis dynamics (15 papers), Photoreceptor and optogenetics research (15 papers), Protein Structure and Dynamics (9 papers), RNA and protein synthesis mechanisms (9 papers) and Electrochemical Analysis and Applications (9 papers). The work is most often cited by research in Endocrinology (687 citations), Genetics (2.7k citations), Structural Biology (132 citations), Cellular and Molecular Neuroscience (1.6k citations) and Condensed Matter Physics (1.0k citations). David F. Blair has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Howard C. Berg, Jiadong Zhou, Koushik Paul, Scott A. Lloyd, Seiji Kojima, Timothy F. Braun, Hua Tang, Steven M. Block, Seiji Kojima and Leslie L. Sharp. Their work appears in journals such as Journal of Bacteriology, Biochemistry, Journal of Molecular Biology, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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