Karin Hengst

69 total papers · 884 total citations
40 papers, 656 citations indexed

About

Karin Hengst is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Physiology. According to data from OpenAlex, Karin Hengst has authored 40 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Epidemiology and 9 papers in Physiology. Recurrent topics in Karin Hengst's work include Neuroendocrine Tumor Research Advances (6 papers), Pituitary Gland Disorders and Treatments (6 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Karin Hengst is often cited by papers focused on Neuroendocrine Tumor Research Advances (6 papers), Pituitary Gland Disorders and Treatments (6 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Karin Hengst collaborates with scholars based in Germany, Poland and United States. Karin Hengst's co-authors include Reinhold Gellner, J. W. Konturek, U Schiemann, Wolfram Domschke, Philipp Lenz, Hermann Wagner, Hauke Heinzow, Stanisław J. Konturek, Stefan Evers and Frank Lenze and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Gut.

In The Last Decade

Karin Hengst

40 papers receiving 636 citations

Author Peers

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

Author Last Decade Papers Cites
Karin Hengst 166 156 117 110 98 40 656
Nelson J. Gurll 285 1.7× 168 1.1× 172 1.5× 69 0.6× 102 1.0× 53 794
László Pótó 219 1.3× 52 0.3× 158 1.4× 64 0.6× 98 1.0× 40 729
Eric K. Patterson 96 0.6× 62 0.4× 193 1.6× 129 1.2× 41 0.4× 31 751
Xueqin Wang 150 0.9× 178 1.1× 122 1.0× 97 0.9× 27 0.3× 55 727
Zhen He 117 0.7× 75 0.5× 226 1.9× 99 0.9× 194 2.0× 44 666
Aysel Kıyıcı 73 0.4× 83 0.5× 78 0.7× 82 0.7× 88 0.9× 57 738
Ji Hyun Park 195 1.2× 75 0.5× 198 1.7× 165 1.5× 129 1.3× 42 787
Daniel Schmitz 132 0.8× 52 0.3× 67 0.6× 174 1.6× 32 0.3× 52 651
Dan Yang 147 0.9× 42 0.3× 127 1.1× 140 1.3× 98 1.0× 47 590
Katsumi Suzuki 212 1.3× 57 0.4× 153 1.3× 98 0.9× 93 0.9× 41 577

Countries citing papers authored by Karin Hengst

Since Specialization
Citations

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

Fields of papers citing papers by Karin Hengst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Hengst

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Hengst. A scholar is included among the top collaborators of Karin Hengst 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 Karin Hengst. Karin Hengst 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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2026