Byeong–Moo Kim

24 total papers · 1.3k total citations
20 papers, 1.1k citations indexed

About

Byeong–Moo Kim is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Byeong–Moo Kim has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Byeong–Moo Kim's work include Liver Disease Diagnosis and Treatment (4 papers), Digestive system and related health (4 papers) and Pancreatitis Pathology and Treatment (3 papers). Byeong–Moo Kim is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Digestive system and related health (4 papers) and Pancreatitis Pathology and Treatment (3 papers). Byeong–Moo Kim collaborates with scholars based in United States, South Korea and China. Byeong–Moo Kim's co-authors include Ramesh A. Shivdasani, Junhao Mao, Paul T. Sharpe, Isabelle Milétich, Andrew P. McMahon, Michael Y. Choi, Georg Buchner, Mihir Rajurkar, Makoto M. Taketo and Heung‐Myong Woo and has published in prestigious journals such as Gastroenterology, PLoS ONE and Development.

In The Last Decade

Byeong–Moo Kim

20 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Byeong–Moo Kim	588	437	261	155	110	20	1.1k
Gina M. Coudriet	298 0.5×	402 0.9×	154 0.6×	110 0.7×	68 0.6×	15	952
Ludwik K. Trejdosiewicz	473 0.8×	467 1.1×	131 0.5×	155 1.0×	117 1.1×	29	1.2k
Elizabeth C. Stahl	538 0.9×	293 0.7×	58 0.2×	80 0.5×	183 1.7×	26	1.1k
Claude Rescan	342 0.6×	345 0.8×	131 0.5×	105 0.7×	46 0.4×	16	829
Marnisa Sricholpech	420 0.7×	111 0.3×	188 0.7×	109 0.7×	157 1.4×	13	897
Masayasu Esaki	515 0.9×	273 0.6×	59 0.2×	178 1.1×	56 0.5×	29	1.1k
Linshan Shang	487 0.8×	352 0.8×	226 0.9×	47 0.3×	40 0.4×	21	1.1k
Shizuko Tanaka	490 0.8×	107 0.2×	152 0.6×	71 0.5×	126 1.1×	28	1.1k
Jiawen Huang	580 1.0×	361 0.8×	140 0.5×	137 0.9×	95 0.9×	30	1.1k
Anne‐Marie Zuurmond	417 0.7×	260 0.6×	186 0.7×	105 0.7×	118 1.1×	25	1.2k

Countries citing papers authored by Byeong–Moo Kim

Since Specialization

Citations

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

Fields of papers citing papers by Byeong–Moo Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byeong–Moo Kim. 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 Byeong–Moo Kim. The network helps show where Byeong–Moo Kim may publish in the future.

Co-authorship network of co-authors of Byeong–Moo Kim

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact