Tanja S. Witte

25 total papers · 467 total citations
18 papers, 339 citations indexed

About

Tanja S. Witte is a scholar working on Agronomy and Crop Science, Equine and Small Animals. According to data from OpenAlex, Tanja S. Witte has authored 18 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Agronomy and Crop Science, 9 papers in Equine and 6 papers in Small Animals. Recurrent topics in Tanja S. Witte's work include Reproductive Physiology in Livestock (10 papers), Veterinary Equine Medical Research (9 papers) and Animal health and immunology (5 papers). Tanja S. Witte is often cited by papers focused on Reproductive Physiology in Livestock (10 papers), Veterinary Equine Medical Research (9 papers) and Animal health and immunology (5 papers). Tanja S. Witte collaborates with scholars based in Germany, Austria and United States. Tanja S. Witte's co-authors include Sabine Schäfer–Somi, W. Heuwieser, Christine Aurich, Peter Scherpenisse, Aldert A. Bergwerff, Kathrin Jäger, H‐A Schoon, Ingrid Walter, Marc Drillich and Michael Röcken and has published in prestigious journals such as Journal of Dairy Science, Theriogenology and Frontiers in Cell and Developmental Biology.

In The Last Decade

Tanja S. Witte

18 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
Tanja S. Witte 185 115 113 103 67 18 339
John P. Hurtgen 188 1.0× 52 0.5× 104 0.9× 48 0.5× 30 0.4× 17 340
Mike Steele 86 0.5× 81 0.7× 40 0.4× 66 0.6× 38 0.6× 21 315
Takuo Hojo 171 0.9× 98 0.9× 29 0.3× 117 1.1× 96 1.4× 27 345
Theerawat Swangchan-Uthai 215 1.2× 98 0.9× 22 0.2× 83 0.8× 111 1.7× 26 355
W. L. Scrutchfield 91 0.5× 163 1.4× 97 0.9× 91 0.9× 10 0.1× 16 363
Lena Malmgren 163 0.9× 249 2.2× 70 0.6× 137 1.3× 8 0.1× 23 394
K. F. Dowsett 166 0.9× 134 1.2× 129 1.1× 65 0.6× 8 0.1× 20 313
I.K.M. Liu 210 1.1× 125 1.1× 121 1.1× 107 1.0× 39 0.6× 13 310
A. Bartošková 57 0.3× 63 0.5× 25 0.2× 40 0.4× 47 0.7× 16 385
Cely Marini Melo 125 0.7× 307 2.7× 71 0.6× 250 2.4× 25 0.4× 28 383

Countries citing papers authored by Tanja S. Witte

Since Specialization
Citations

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

Fields of papers citing papers by Tanja S. Witte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanja S. Witte. 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 Tanja S. Witte. The network helps show where Tanja S. Witte may publish in the future.

Co-authorship network of co-authors of Tanja S. Witte

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja S. Witte. A scholar is included among the top collaborators of Tanja S. Witte 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 Tanja S. Witte. Tanja S. Witte 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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