M. Geppert

1.7k citations
45 papers · 957 · h-index 16

Impact in

Papers in

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

M. Geppert

42 papers receiving 940 citations

Peers

M. Geppert
Comparison fields: 5 of 96
  • Cell Biology 294
  • Cellular and Molecular Neuroscience 259
  • Neurology 180
  • Genetics 286
  • Molecular Biology 424
Replace Anastasia P. Grigorenko with:
Anastasia P. Grigorenko Russia
Ivailo Tournev Bulgaria
Mihael H. Polymeropoulos United States
A. Vandenberghe France
Manolis Fanto United Kingdom
Maria M. van Genderen Netherlands
Rachel Nguyen United States
Gary Shutler Canada
Sarah C. Hughes Canada
Michael D. Gallagher United States
M. Geppert relative to Anastasia P. Grigorenko Russia Anastasia P. Grigorenko's profile →
Citations per field
00.5×6.9×
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 1991205
2 1993118
3 2003114
4 199057
5 201540
6 199338
7 201032
8 201630
9 199429
10 201227
11 201726
12 201125
13 201323
14 200922
15 201421
16 201116
17 199215
18 20109
19 20149
20 20149

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 957 indexed citations. Recurring topics across this work include Forensic and Genetic Research (17 papers), Race, Genetics, and Society (7 papers), Genetic diversity and population structure (6 papers), Molecular Biology Techniques and Applications (6 papers), Forensic Anthropology and Bioarchaeology Studies (5 papers), Endometrial and Cervical Cancer Treatments (3 papers), Identification and Quantification in Food (3 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Cell Biology (294 citations), Cellular and Molecular Neuroscience (259 citations), Neurology (180 citations), Genetics (286 citations) and Molecular Biology (424 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, Marion Nagy, E.M. Fykse and Christiane Walch-Solimena. Their work appears in journals such as Forensic Science International Genetics, Gynecologic and Obstetric Investigation, Journal of Biological Chemistry, Neuroscience and Integrative Zoology.

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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