Frauke Friedrichs

597 total citations
7 papers, 421 citations indexed

About

Frauke Friedrichs is a scholar working on Artificial Intelligence, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Frauke Friedrichs has authored 7 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Genetics and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Frauke Friedrichs's work include Neural Networks and Applications (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Frauke Friedrichs is often cited by papers focused on Neural Networks and Applications (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Frauke Friedrichs collaborates with scholars based in Germany, Netherlands and Spain. Frauke Friedrichs's co-authors include Christian Igel, Michael Schmitt, Stephan Schwers, Kirstin Thelen, Huijun Chen, Ron T. Gansevoort, David C. Wheeler, Alexander Solms, Stefan Klein and Stefan Willmann and has published in prestigious journals such as Neurocomputing, Nephrology Dialysis Transplantation and Clinical and Translational Science.

In The Last Decade

Frauke Friedrichs

7 papers receiving 396 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Frauke Friedrichs Germany	5	218	90	57	47	40	7	421
Hongfang Zhou China	8	241 1.1×	108 1.2×	33 0.6×	39 0.8×	41 1.0×	21	471
B. Venkatesh India	5	202 0.9×	74 0.8×	29 0.5×	36 0.8×	25 0.6×	20	475
Giulia DeSalvo United States	6	306 1.4×	114 1.3×	33 0.6×	55 1.2×	44 1.1×	14	598
Yangguang Liu China	11	220 1.0×	96 1.1×	30 0.5×	47 1.0×	32 0.8×	52	468
Hassan Ramchoun Morocco	5	208 1.0×	65 0.7×	40 0.7×	54 1.1×	17 0.4×	14	548
Norbert Jankowski Poland	9	272 1.2×	76 0.8×	54 0.9×	32 0.7×	21 0.5×	30	429
Utkarsh Mahadeo Khaire India	7	251 1.2×	92 1.0×	43 0.8×	32 0.7×	39 1.0×	13	516
Muhammad Zubair Rehman Malaysia	9	159 0.7×	57 0.6×	39 0.7×	55 1.2×	21 0.5×	31	419
G. Wiselin Jiji India	8	227 1.0×	93 1.0×	47 0.8×	43 0.9×	84 2.1×	42	443
W. Ahmed United States	6	302 1.4×	134 1.5×	94 1.6×	53 1.1×	20 0.5×	15	482

Countries citing papers authored by Frauke Friedrichs

Since Specialization

Citations

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

Fields of papers citing papers by Frauke Friedrichs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frauke Friedrichs

This figure shows the co-authorship network connecting the top 25 collaborators of Frauke Friedrichs. A scholar is included among the top collaborators of Frauke Friedrichs 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 Frauke Friedrichs. Frauke Friedrichs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Chen, Huijun, Kirstin Thelen, Frauke Friedrichs, et al.. (2024). Pharmacokinetics, pharmacodynamics, and safety of fesomersen, a novel antisense inhibitor of factor XI, in healthy Chinese, Japanese, and Caucasian volunteers. Clinical and Translational Science. 17(4). e13784–e13784. 7 indexed citations

Friedrichs, Frauke, et al.. (2024). Pharmacokinetics and pharmacodynamics of the factor XIa‐inhibiting antibody osocimab in healthy male East Asian volunteers: Results from two phase 1 studies. Pharmacology Research & Perspectives. 12(5). e70012–e70012. 2 indexed citations

Gansevoort, Ron T., David C. Wheeler, Marijn M. Speeckaert, et al.. (2024). The sGC activator runcaciguat is associated with a strong reduction in albuminuria and good tolerability in CKD patients with or without an SGLT2 inhibitor. Results of the CONCORD study. 2 indexed citations

Gansevoort, Ron T., David C. Wheeler, Marijn M. Speeckaert, et al.. (2024). The soluble guanylate cyclase activator runcaciguat significantly improves albuminuria in patients with chronic kidney disease: a randomized placebo-controlled clinical trial. Nephrology Dialysis Transplantation. 40(6). 1147–1160. 11 indexed citations

Friedrichs, Frauke & Christian Igel. (2005). Evolutionary tuning of multiple SVM parameters. Neurocomputing. 64. 107–117. 374 indexed citations

Friedrichs, Frauke & Christian Igel. (2004). Evolutionary tuning of multiple SVM parameters.. The European Symposium on Artificial Neural Networks. 519–524. 15 indexed citations

Friedrichs, Frauke & Michael Schmitt. (2004). On the power of Boolean computations in generalized RBF neural networks. Neurocomputing. 63. 483–498. 10 indexed citations

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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