David Greenstein

3.9k citations
54 papers · 2.8k · h-index 28

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 38
    • RNA Research and Splicing 9
    • DNA Repair Mechanisms 5
    • Pluripotent Stem Cells Research 4

David Greenstein

52 papers receiving 2.7k citations

Peers

David Greenstein
Comparison fields: 5 of 94
  • Aging 1.9k
  • Endocrine and Autonomic Systems 490
  • Public Health, Environmental and Occupational Health 780
  • Molecular Biology 1.4k
  • Cell Biology 268
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Citations per field
00.5×3.7×
Andrew Singson · 1×
Citations per year

Countries citing papers authored by David Greenstein

Since Specialization
Citations

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

Fields of papers citing papers by David Greenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001350
2 1999265
3 2000194
4 2003162
5 2005121
6 2009115
7 2000108
8 2005100
9 200694
10 199781
11 200976
12 199475
13 200167
14 201264
15 201462
16 201462
17 200552
18 200651
19 200448
20 200847

About David Greenstein

David Greenstein is a scholar working on Aging, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Endocrine and Autonomic Systems, having authored 54 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (38 papers), Reproductive Biology and Fertility (20 papers), RNA Research and Splicing (9 papers), Circadian rhythm and melatonin (7 papers), Bacterial Genetics and Biotechnology (6 papers), DNA Repair Mechanisms (5 papers), Bacteriophages and microbial interactions (5 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Aging (1.9k citations), Endocrine and Autonomic Systems (490 citations), Public Health, Environmental and Occupational Health (780 citations), Molecular Biology (1.4k citations) and Cell Biology (268 citations). David Greenstein has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Mary Kosinski, E. Jane Albert Hubbard, J. Amaranath Govindan, Michael A. Miller, David H. Hall, Ikuko Yamamoto, Tokiko Furuta, Caroline A. Spike, Tim Schedl and Richard M. Caprioli. Their work appears in journals such as Genetics, Current Biology, Development, Developmental Biology and Journal of Molecular 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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