Michael Getman

449 citations
22 papers · 295 · h-index 11

Impact in

Papers in

    • RNA modifications and cancer 11
    • Epigenetics and DNA Methylation 8
    • Genomics and Chromatin Dynamics 5
    • RNA Research and Splicing 2
    • Erythrocyte Function and Pathophysiology 9

Michael Getman

20 papers receiving 289 citations

Peers

Michael Getman
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 67
  • Ecology, Evolution, Behavior and Systematics 58
  • Genetics 81
  • Genetics 30
  • Physiology 54
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Chloé Greppi United States
Shingo Kurabuchi Japan
Janko Gospočić United States
Jerell R. Aguila United States
Taro Tsujimura Japan
V K Galanopoulos Greece
Joshua D. Groman United States
Nadja Makki United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Getman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Getman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199453
2 199446
3 202224
4 201722
5 201521
6 201118
7 202017
8 202114
9 201711
10 200811
11 202010
12 20199
13 20149
14 20118
15 20207
16 20197
17 20234
18 20192
19 20151
20 20191

About Michael Getman

Michael Getman is a scholar working on Molecular Biology, Physiology, Genetics, Genetics and Surgery, having authored 22 papers that have together received 295 indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Erythrocyte Function and Pathophysiology (9 papers), Epigenetics and DNA Methylation (8 papers), Genomics and Chromatin Dynamics (5 papers), Hemoglobinopathies and Related Disorders (3 papers), Insect and Arachnid Ecology and Behavior (2 papers), RNA Research and Splicing (2 papers) and Insects and Parasite Interactions (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (67 citations), Ecology, Evolution, Behavior and Systematics (58 citations), Genetics (81 citations), Genetics (30 citations) and Physiology (54 citations). Michael Getman has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Christopher M. Comer, Laurie A. Steiner, Jeffrey Malik, Zachary C. Murphy, Jacquelyn Lillis, Jacquelyn Myers, Paul Johnson, Robert P. Lane, Yukio Nakamura and Ryo Kurita. Their work appears in journals such as Blood, Experimental Hematology, Nature Communications, Cell Reports and Journal of Comparative Physiology A.

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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