Frank Heidorn

23 total papers · 1.2k total citations
13 papers, 59 citations indexed

About

Frank Heidorn is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, Frank Heidorn has authored 13 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Archeology. Recurrent topics in Frank Heidorn's work include Forensic and Genetic Research (7 papers), Molecular Biology Techniques and Applications (3 papers) and Genomics and Phylogenetic Studies (2 papers). Frank Heidorn is often cited by papers focused on Forensic and Genetic Research (7 papers), Molecular Biology Techniques and Applications (3 papers) and Genomics and Phylogenetic Studies (2 papers). Frank Heidorn collaborates with scholars based in Germany and Switzerland. Frank Heidorn's co-authors include Marcel A. Verhoff, R. Dettmeyer, Ute Müller, Gabriele Lasczkowski, M. Riße, Thomas K. Monsees, Franziska Holz, G. Weiler, Frank Ramsthaler and Wolf‐Bernhard Schill and has published in prestigious journals such as Biology of Reproduction, Journal of Forensic Sciences and Forensic Science Medicine and Pathology.

In The Last Decade

Frank Heidorn

13 papers receiving 57 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frank Heidorn 28 27 8 8 7 13 59
Ioanna Kousiappa 64 2.3× 13 0.5× 28 3.5× 6 0.8× 7 1.0× 16 220
Margit Heiske 122 4.4× 50 1.9× 2 0.3× 2 0.3× 4 0.6× 14 214
Ardeshir Bahmanimehr 25 0.9× 72 2.7× 6 0.8× 8 1.0× 11 108
A. Moors 22 0.8× 19 0.7× 7 0.9× 1 0.1× 9 1.3× 12 52
Elanur Yılmaz 30 1.1× 57 2.1× 3 0.4× 1 0.1× 5 0.7× 11 89
Brice Poreau 29 1.0× 31 1.1× 4 0.5× 4 0.6× 19 88
Alper Yavuz 23 0.8× 23 0.9× 1 0.1× 3 0.4× 6 0.9× 9 75
Laura Vrbanac 28 1.0× 8 0.3× 2 0.3× 5 0.6× 4 0.6× 9 62
Volha Skrahina 24 0.9× 23 0.9× 6 0.8× 2 0.3× 13 82
Magdalena Konarzewska 57 2.0× 72 2.7× 9 1.1× 1 0.1× 3 0.4× 12 106

Countries citing papers authored by Frank Heidorn

Since Specialization
Citations

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

Fields of papers citing papers by Frank Heidorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Heidorn

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Heidorn. A scholar is included among the top collaborators of Frank Heidorn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank Heidorn. Frank Heidorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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