Stefan Dieterle

62 total papers · 891 total citations
39 papers, 645 citations indexed

About

Stefan Dieterle is a scholar working on Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Stefan Dieterle has authored 39 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Reproductive Medicine, 8 papers in Molecular Biology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Stefan Dieterle's work include Reproductive tract infections research (8 papers), Acupuncture Treatment Research Studies (8 papers) and Complementary and Alternative Medicine Studies (7 papers). Stefan Dieterle is often cited by papers focused on Reproductive tract infections research (8 papers), Acupuncture Treatment Research Studies (8 papers) and Complementary and Alternative Medicine Studies (7 papers). Stefan Dieterle collaborates with scholars based in Germany, United States and France. Stefan Dieterle's co-authors include A. Neuer, Wolfgang Hatzmann, Ying Gao, Steven S. Witkin, J. Wollenhaupt, Dongmei Huang, K. Luinstra, J B Mahony, W. Stibbe and Onno E. Janßen and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and The Plant Journal.

In The Last Decade

Stefan Dieterle

37 papers receiving 617 citations

Author Peers

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

Author Last Decade Papers Cites
Stefan Dieterle 225 167 143 119 118 39 645
Sooseong You 79 0.4× 125 0.7× 133 0.9× 51 0.4× 68 0.6× 44 592
Li Tang 141 0.6× 47 0.3× 428 3.0× 16 0.1× 71 0.6× 33 742
Kunwar K. Srivastava 95 0.4× 75 0.4× 112 0.8× 44 0.4× 54 0.5× 42 556
Patricia C. Brennan 33 0.1× 120 0.7× 32 0.2× 95 0.8× 101 0.9× 24 603
Erick J. R. Silva 308 1.4× 27 0.2× 217 1.5× 38 0.3× 141 1.2× 37 748
Duygu Yazgan Aksoy 208 0.9× 30 0.2× 82 0.6× 11 0.1× 123 1.0× 46 749
Shuyu Wang 407 1.8× 46 0.3× 106 0.7× 11 0.1× 346 2.9× 36 759
Andrea Tissera 410 1.8× 11 0.1× 102 0.7× 52 0.4× 200 1.7× 30 720
Xiufang Li 93 0.4× 24 0.1× 143 1.0× 6 0.1× 111 0.9× 54 593
David Yiu Leung Chan 198 0.9× 11 0.1× 213 1.5× 27 0.2× 283 2.4× 51 748

Countries citing papers authored by Stefan Dieterle

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Dieterle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Dieterle

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Dieterle. A scholar is included among the top collaborators of Stefan Dieterle 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 Stefan Dieterle. Stefan Dieterle 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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