Geun Bae Rha

15 total papers · 766 total citations
11 papers, 628 citations indexed

About

Geun Bae Rha is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Geun Bae Rha has authored 11 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Surgery and 3 papers in Cell Biology. Recurrent topics in Geun Bae Rha's work include Pancreatic function and diabetes (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Diabetes Treatment and Management (2 papers). Geun Bae Rha is often cited by papers focused on Pancreatic function and diabetes (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Diabetes Treatment and Management (2 papers). Geun Bae Rha collaborates with scholars based in United States, South Korea and France. Geun Bae Rha's co-authors include Young-In Chi, Jun Liu, Theresa M. Guerin, Marc Lombès, Xingyuan Yang, Eric J. Smart, Xin Lü, Bernhard Hennig, Michał Toborek and Young‐In Chi and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Geun Bae Rha

11 papers receiving 627 citations

Author Peers

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

Author Last Decade Papers Cites
Geun Bae Rha 292 261 258 123 76 11 628
Matthias Romauch 280 1.0× 277 1.1× 265 1.0× 104 0.8× 124 1.6× 9 568
Amandine Girousse 270 0.9× 236 0.9× 307 1.2× 104 0.8× 111 1.5× 13 582
Yael Olswang 407 1.4× 166 0.6× 400 1.6× 120 1.0× 135 1.8× 9 782
Kristin Tillison 373 1.3× 184 0.7× 209 0.8× 57 0.5× 85 1.1× 10 602
Chen-Yi Lin 287 1.0× 154 0.6× 239 0.9× 222 1.8× 129 1.7× 11 624
Martin Majer 291 1.0× 173 0.7× 118 0.5× 98 0.8× 40 0.5× 20 664
Qiwei Wu 314 1.1× 144 0.6× 216 0.8× 61 0.5× 171 2.3× 7 585
Victoria A. Payne 440 1.5× 127 0.5× 197 0.8× 210 1.7× 93 1.2× 8 622
Thomas A. Bowman 380 1.3× 161 0.6× 183 0.7× 122 1.0× 189 2.5× 16 752
Tianluo Lei 307 1.1× 113 0.4× 145 0.6× 85 0.7× 99 1.3× 16 618

Countries citing papers authored by Geun Bae Rha

Since Specialization
Citations

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

Fields of papers citing papers by Geun Bae Rha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geun Bae Rha. 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 Geun Bae Rha. The network helps show where Geun Bae Rha may publish in the future.

Co-authorship network of co-authors of Geun Bae Rha

This figure shows the co-authorship network connecting the top 25 collaborators of Geun Bae Rha. A scholar is included among the top collaborators of Geun Bae Rha 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 Geun Bae Rha. Geun Bae Rha 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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