Sascha Willuweit

2.8k citations
33 papers · 1.4k · h-index 19

Impact in

  • Genetics top 1%
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Race, Genetics, and Society
    • Genetic Associations and Epidemiology
  • Archeology top 2%
    • Forensic Anthropology and Bioarchaeology Studies

Papers in

    • Forensic and Genetic Research 33
    • Genetic diversity and population structure 11
    • Race, Genetics, and Society 10
    • Genetic Associations and Epidemiology 6
    • Yersinia bacterium, plague, ectoparasites research 4
    • Molecular Biology Techniques and Applications 12

Sascha Willuweit

33 papers receiving 1.4k citations

Peers

Sascha Willuweit
Comparison fields: 5 of 86
  • Genetics 1.3k
  • Archeology 193
  • Molecular Biology 646
  • Ecology 164
  • Space and Planetary Science 8
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Citations per field
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Citations per year

Countries citing papers authored by Sascha Willuweit

Since Specialization
Citations

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

Fields of papers citing papers by Sascha Willuweit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sascha Willuweit, 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 Sascha Willuweit Line = papers co-authored together Sascha Willuweit 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 2007278
2 2016188
3 2014171
4 2005145
5 201673
6 201872
7 201855
8 200848
9 200243
10 201231
11 200928
12 200827
13 201027
14 200726
15 201324
16 201921
17 200821
18 200720
19 201418
20 200916

About Sascha Willuweit

Sascha Willuweit is a scholar working on Genetics, Molecular Biology, Archeology, Ecology and Surgery, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Forensic and Genetic Research (33 papers), Molecular Biology Techniques and Applications (12 papers), Genetic diversity and population structure (11 papers), Race, Genetics, and Society (10 papers), Forensic Anthropology and Bioarchaeology Studies (6 papers), Genetic Associations and Epidemiology (6 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Environmental DNA in Biodiversity Studies (4 papers). The work is most often cited by research in Genetics (1.3k citations), Archeology (193 citations), Molecular Biology (646 citations), Ecology (164 citations) and Space and Planetary Science (8 citations). Sascha Willuweit has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Lutz Roewer, Walther Parson, Michael Krawczak, Peter de Knijff, Mark Stoneking, Mechthild Prinz, Manfred Kayser, Bruce Budowle, Mark A. Jobling and Amke Caliebe. Their work appears in journals such as Forensic Science International Genetics, International Journal of Legal Medicine, Forensic Science International, Human Genetics and Journal of Forensic Sciences.

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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