Marc Weimer

1.9k citations
33 papers · 1.5k · h-index 18

Impact in

Papers in

Marc Weimer

32 papers receiving 1.4k citations

Peers

Marc Weimer
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 593
  • Health, Toxicology and Mutagenesis 333
  • Cancer Research 103
  • Small Animals 52
  • Pollution 79
Replace Kevin Gerrish with:
Kevin Gerrish United States
Erik Ullerås Sweden
Jerry F. Hardisty United States
Andrea Terron Italy
Hiroaki Furuta Japan
Michael H. Green United States
Meng Yuan China
Radina Kostadinova Switzerland
James R. Hailey United States
Raegan O’Lone United States
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Citations per field
00.5×2×3×4×4.6×
Kevin Gerrish · 1×
Citations per year

Countries citing papers authored by Marc Weimer

Since Specialization
Citations

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

Fields of papers citing papers by Marc Weimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014322
2 2013309
3 2010103
4 201289
5 201088
6 201075
7 200942
8 201037
9 201136
10 201033
11 201033
12 200029
13 201228
14 201328
15 201022
16 201020
17 200918
18 200918
19 200917
20 201216

About Marc Weimer

Marc Weimer is a scholar working on Health, Toxicology and Mutagenesis, Genetics, Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (10 papers), Estrogen and related hormone effects (8 papers), Carcinogens and Genotoxicity Assessment (5 papers), Hormonal and reproductive studies (3 papers), Pharmacological Effects and Assays (3 papers), Reproductive System and Pregnancy (3 papers), Endometriosis Research and Treatment (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (593 citations), Health, Toxicology and Mutagenesis (333 citations), Cancer Research (103 citations), Small Animals (52 citations) and Pollution (79 citations). Marc Weimer has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Hans‐Ulrich Häring, Elke Seewaldt-Becker, Ludwig Merker, Uli C. Broedl, Thomas Meinicke, Hans J. Woerle, Alexius Freyberger, Bart van der Burg, Pascale Berckmans and Hilda Witters. Their work appears in journals such as Reproductive Toxicology, Toxicology and Applied Pharmacology, Diabetes Care, Experimental Brain Research and Journal of Virology.

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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