Beatrice Richter

35 total papers · 1.6k total citations
17 papers, 802 citations indexed

About

Beatrice Richter is a scholar working on Nephrology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Beatrice Richter has authored 17 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nephrology, 13 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Beatrice Richter's work include Parathyroid Disorders and Treatments (14 papers), Fibroblast Growth Factor Research (10 papers) and Metabolism, Diabetes, and Cancer (3 papers). Beatrice Richter is often cited by papers focused on Parathyroid Disorders and Treatments (14 papers), Fibroblast Growth Factor Research (10 papers) and Metabolism, Diabetes, and Cancer (3 papers). Beatrice Richter collaborates with scholars based in Germany, United States and Czechia. Beatrice Richter's co-authors include Christian Faul, Dieter Haffner, Maren Leifheit‐Nestler, F. Kirchhoff, Michael Klintschar, Joerg Heineke, Jan U. Becker, Wolfgang Ziegler, Tomáš Seeman and Christoph Aufricht and has published in prestigious journals such as Blood, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Beatrice Richter

17 papers receiving 799 citations

Author Peers

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

Author Last Decade Papers Cites
Beatrice Richter 522 296 212 149 143 17 802
Guerman Molostvov 582 1.1× 207 0.7× 254 1.2× 134 0.9× 199 1.4× 17 889
Matthew H. Crouthamel 639 1.2× 264 0.9× 240 1.1× 89 0.6× 197 1.4× 9 1.1k
Manish P. Ponda 248 0.5× 308 1.0× 141 0.7× 289 1.9× 146 1.0× 24 1.0k
Lavinia Negrea 483 0.9× 172 0.6× 167 0.8× 316 2.1× 155 1.1× 20 804
Matthew Davies 609 1.2× 204 0.7× 143 0.7× 114 0.8× 144 1.0× 28 943
Bernhard Bielesz 537 1.0× 420 1.4× 173 0.8× 97 0.7× 71 0.5× 21 963
Harley R. Powell 517 1.0× 253 0.9× 108 0.5× 101 0.7× 149 1.0× 27 983
Kunitaka Nashiki 541 1.0× 165 0.6× 187 0.9× 145 1.0× 217 1.5× 12 766
Mazen Arar 313 0.6× 388 1.3× 112 0.5× 94 0.6× 123 0.9× 25 922
Nadine Kaesler 413 0.8× 210 0.7× 102 0.5× 72 0.5× 274 1.9× 26 1.1k

Countries citing papers authored by Beatrice Richter

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice Richter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatrice Richter

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