M. Goodman

3.2k citations
57 papers · 2.5k · h-index 28

Impact in

Papers in

    • Genomics and Phylogenetic Studies 11
    • Genomics and Chromatin Dynamics 9
    • RNA and protein synthesis mechanisms 6
    • Connexins and lens biology 5
    • Hemoglobinopathies and Related Disorders 6

M. Goodman

57 papers receiving 2.3k citations

Peers

M. Goodman
Comparison fields: 5 of 121
  • Paleontology 437
  • Developmental Biology 72
  • Social Psychology 513
  • Genetics 646
  • Molecular Biology 1.4k
Replace John Czelusniak with:
John Czelusniak United States
Maryellen Ruvolo United States
Jerry L. Slightom United States
Juan C. Opazo Chile
Hans Zischler Germany
Lutz Walter Germany
Jinchuan Xing United States
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Citations per field
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Citations per year

Countries citing papers authored by M. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by M. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993169
2 1986125
3 2012124
4 1991123
5 1996113
6 1987112
7 1989112
8 2001108
9 1991104
10 199596
11 198486
12 197383
13 199381
14 199769
15 198963
16 198456
17 198753
18 199051
19 199944
20 197143

About M. Goodman

M. Goodman is a scholar working on Molecular Biology, Genetics, Paleontology, Social Psychology and Plant Science, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Evolution and Paleontology Studies (10 papers), Genomics and Chromatin Dynamics (9 papers), Chromosomal and Genetic Variations (8 papers), Primate Behavior and Ecology (8 papers), Hemoglobinopathies and Related Disorders (6 papers), RNA and protein synthesis mechanisms (6 papers) and Connexins and lens biology (5 papers). The work is most often cited by research in Paleontology (437 citations), Developmental Biology (72 citations), Social Psychology (513 citations), Genetics (646 citations) and Molecular Biology (1.4k citations). M. Goodman has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include J L Slightom, John Czelusniak, Danilo A. Tagle, Ben F. Koop, Michael M. Miyamoto, Horácio Schneider, Iracilda Sampaio, Maria Paula Cruz Schneider, Maria Lúcia Harada and Wendy J. Bailey. Their work appears in journals such as Molecular Biology and Evolution, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Systematic Biology and Molecular Phylogenetics and Evolution.

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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