Frank Reiher

22 total papers · 1.2k total citations
19 papers, 968 citations indexed

About

Frank Reiher is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Frank Reiher has authored 19 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Frank Reiher's work include Angiogenesis and VEGF in Cancer (9 papers), Bladder and Urothelial Cancer Treatments (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Frank Reiher is often cited by papers focused on Angiogenesis and VEGF in Cancer (9 papers), Bladder and Urothelial Cancer Treatments (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Frank Reiher collaborates with scholars based in United States, Germany and Spain. Frank Reiher's co-authors include Noël Bouck, Olga V. Volpert, Wei Zhou, Patrick M. Stuart, Tetiana Zaichuk, Thomas A. Ferguson, M. Asif Amin, Steven C. Campbell, Susan E. Crawford and Benilde Jiménez and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Genes & Development.

In The Last Decade

Frank Reiher

18 papers receiving 945 citations

Author Peers

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

Author						Papers	Cites
Frank Reiher	628	267	182	179	140	19	968
Masahiro Sato	739 1.2×	219 0.8×	119 0.7×	119 0.7×	231 1.6×	26	1.0k
Kanji Hojo	560 0.9×	261 1.0×	90 0.5×	93 0.5×	242 1.7×	21	974
Emma Rennel	665 1.1×	157 0.6×	83 0.5×	76 0.4×	125 0.9×	14	950
Dawid G. Nowak	944 1.5×	242 0.9×	68 0.4×	133 0.7×	164 1.2×	20	1.2k
James Bready	698 1.1×	208 0.8×	95 0.5×	94 0.5×	213 1.5×	20	1.2k
Kyung-Tae Kim	619 1.0×	180 0.7×	110 0.6×	82 0.5×	167 1.2×	15	957
Alice Banh	662 1.1×	441 1.7×	102 0.6×	128 0.7×	171 1.2×	14	1.1k
Grant C. Sellar	728 1.2×	142 0.5×	129 0.7×	90 0.5×	160 1.1×	21	1.1k
Alfred C. Aplin	568 0.9×	138 0.5×	141 0.8×	101 0.6×	105 0.8×	31	950
Yasuo Tohma	611 1.0×	189 0.7×	129 0.7×	104 0.6×	264 1.9×	30	1.1k

Countries citing papers authored by Frank Reiher

Since Specialization

Citations

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

Fields of papers citing papers by Frank Reiher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Reiher

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