Sabine Kaessmeyer

47 total papers · 587 total citations
33 papers, 401 citations indexed

About

Sabine Kaessmeyer is a scholar working on Molecular Biology, Dermatology and Cell Biology. According to data from OpenAlex, Sabine Kaessmeyer has authored 33 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Dermatology and 6 papers in Cell Biology. Recurrent topics in Sabine Kaessmeyer's work include Angiogenesis and VEGF in Cancer (8 papers), Reproductive Physiology in Livestock (4 papers) and Reproductive Biology and Fertility (3 papers). Sabine Kaessmeyer is often cited by papers focused on Angiogenesis and VEGF in Cancer (8 papers), Reproductive Physiology in Livestock (4 papers) and Reproductive Biology and Fertility (3 papers). Sabine Kaessmeyer collaborates with scholars based in Germany, Switzerland and Australia. Sabine Kaessmeyer's co-authors include Johanna Plendl, Sarah Hedtrich, K.C. Richardson, Paweł Janczyk, Kateřina Vávrová, Andrej Kováčik, Gerrit Erdmann, Kanti D. Bhoola, Philip J. Thompson and Svetlana Baltic and has published in prestigious journals such as International Journal of Molecular Sciences, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Sabine Kaessmeyer

30 papers receiving 396 citations

Author Peers

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

Author Last Decade Papers Cites
Sabine Kaessmeyer 97 80 65 65 53 33 401
Sabine Debeer 196 2.0× 38 0.5× 22 0.3× 35 0.5× 22 0.4× 12 359
Parvaneh Mohammadi 69 0.7× 61 0.8× 75 1.2× 46 0.7× 9 0.2× 24 446
Natalia Salwowska 50 0.5× 89 1.1× 45 0.7× 40 0.6× 26 0.5× 18 361
Víctor García-Bustos 72 0.7× 57 0.7× 26 0.4× 27 0.4× 12 0.2× 34 415
Arne Jepsen 113 1.2× 44 0.6× 28 0.4× 41 0.6× 43 0.8× 21 427
Ebru Altuntaş 122 1.3× 39 0.5× 57 0.9× 26 0.4× 116 2.2× 17 367
B. Pearson 134 1.4× 29 0.4× 17 0.3× 64 1.0× 7 0.1× 20 437
Galit H. Frydman 59 0.6× 17 0.2× 21 0.3× 68 1.0× 22 0.4× 31 364
Sang Eun Moon 40 0.4× 148 1.9× 10 0.2× 43 0.7× 9 0.2× 36 348
Hae Kwang Lee 121 1.2× 135 1.7× 86 1.3× 38 0.6× 17 0.3× 19 424

Countries citing papers authored by Sabine Kaessmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Kaessmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Kaessmeyer

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