Ingo Bastisch

730 citations
13 papers · 394 · h-index 9

Impact in

  • Genetics top 10%
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Molecular Biology Techniques and Applications
    • Genomics and Phylogenetic Studies
    • Plant Gene Expression Analysis

Papers in

    • Molecular Biology Techniques and Applications 5
    • Identification and Quantification in Food 3
    • Epigenetics and DNA Methylation 1
    • Forensic and Genetic Research 7

Ingo Bastisch

13 papers receiving 380 citations

Peers

Ingo Bastisch
Comparison fields: 5 of 64
  • Genetics 207
  • Molecular Biology 276
  • Archeology 21
  • Ecology 51
  • Epidemiology 53
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Deepa Srikanta United States
M. Ehn Sweden
Ana B. de la Hoz Spain
Gene D. Godbold United States
Hilde Heller Germany
Purusharth I Rajyaguru India
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Aviram Rasouly Israel
Heike Bauerschmitt Germany
Jared T. Nordman United States
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Citations per field
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Citations per year

Countries citing papers authored by Ingo Bastisch

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Bastisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2016119
2 199987
3 201244
4 199641
5 201921
6 202121
7 202218
8 200015
9 20119
10 20147
11 20117
12 20054
13 20091

About Ingo Bastisch

Ingo Bastisch is a scholar working on Molecular Biology, Genetics, Ecology, Epidemiology and Biotechnology, having authored 13 papers that have together received 394 indexed citations. Recurring topics across this work include Forensic and Genetic Research (7 papers), Molecular Biology Techniques and Applications (5 papers), Identification and Quantification in Food (3 papers), Trypanosoma species research and implications (2 papers), Complement system in diseases (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Isotope Analysis in Ecology (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Genetics (207 citations), Molecular Biology (276 citations), Archeology (21 citations), Ecology (51 citations) and Epidemiology (53 citations). Ingo Bastisch has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include R. E. Schmidt, Jörg Schubert, Walther Parson, Andreas Tiede, Peter Orlean, Niels Morling, Christopher Phillips, John M. Butler, Leonor Gusmão and Rolf Fimmers. Their work appears in journals such as Forensic Science International Genetics, Plant Molecular Biology, Clinical & Experimental Immunology, International Journal of Legal Medicine and Biological Chemistry.

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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