M. Geppert

1.7k citations
45 papers · 960 · h-index 17

Impact in

Papers in

    • Forensic and Genetic Research 17
    • Genetic diversity and population structure 7
    • Race, Genetics, and Society 7
    • Molecular Biology Techniques and Applications 6
    • Identification and Quantification in Food 3

M. Geppert

43 papers receiving 942 citations

Peers

M. Geppert
Comparison fields: 5 of 99
  • Cell Biology 296
  • Cellular and Molecular Neuroscience 264
  • Neurology 182
  • Genetics 291
  • Archeology 65
Replace Anastasia P. Grigorenko with:
Anastasia P. Grigorenko Russia
Ivailo Tournev Bulgaria
H Kikuchi Japan
Ranhui Duan China
Mihael H. Polymeropoulos United States
A. Vandenberghe France
Aı̈da Metzenberg United States
Manuela Lima Portugal
Bai‐Lin Wu United States
Gary Shutler Canada
M. Geppert relative to Anastasia P. Grigorenko Russia Anastasia P. Grigorenko's profile →
Citations per field
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Anastasia P. Grigorenko · 1×
Citations per year

Countries citing papers authored by M. Geppert

Since Specialization
Citations

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

Fields of papers citing papers by M. Geppert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991204
2 1993117
3 2003114
4 199057
5 201540
6 199338
7 201031
8 201629
9 199429
10 201227
11 201726
12 201125
13 201322
14 200921
15 201420
16 201116
17 199716
18 199215
19 20149
20 19779

About M. Geppert

M. Geppert is a scholar working on Genetics, Molecular Biology, Surgery, Archeology and Obstetrics and Gynecology, having authored 45 papers that have together received 960 indexed citations. Recurring topics across this work include Forensic and Genetic Research (17 papers), Genetic diversity and population structure (7 papers), Race, Genetics, and Society (7 papers), Molecular Biology Techniques and Applications (6 papers), Forensic Anthropology and Bioarchaeology Studies (6 papers), Endometrial and Cervical Cancer Treatments (3 papers), Identification and Quantification in Food (3 papers) and Archaeology and ancient environmental studies (2 papers). The work is most often cited by research in Cell Biology (296 citations), Cellular and Molecular Neuroscience (264 citations), Neurology (182 citations), Genetics (291 citations) and Archeology (65 citations). M. Geppert has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Thomas C. Südhof, Branch T. Archer, Lutz Roewer, Reinhard Jahn, T C Südhof, Kohji Takei, Pietro De Camilli, Christiane Walch-Solimena, E.M. Fykse and Josephine Purps. Their work appears in journals such as Forensic Science International Genetics, Gynecologic and Obstetric Investigation, Journal of Biological Chemistry, Integrative Zoology and Legal Medicine.

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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