Goung‐Ran Yu

13 total papers · 536 total citations
12 papers, 436 citations indexed

About

Goung‐Ran Yu is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Goung‐Ran Yu has authored 12 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Surgery. Recurrent topics in Goung‐Ran Yu's work include Peptidase Inhibition and Analysis (2 papers), Liver physiology and pathology (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Goung‐Ran Yu is often cited by papers focused on Peptidase Inhibition and Analysis (2 papers), Liver physiology and pathology (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Goung‐Ran Yu collaborates with scholars based in South Korea and China. Goung‐Ran Yu's co-authors include Dae‐Ghon Kim, Mi-Jin Lee, Sun‐Hee Leem, Yunpeng Wang, Sang-Yeop Lee, In‐Sun Chu, Hua Li, Mi‐Jin Lee, Eun‐Young Song and Jong-Hyun Kim and has published in prestigious journals such as Hepatology, Journal of Hepatology and International Journal of Cancer.

In The Last Decade

Goung‐Ran Yu

12 papers receiving 431 citations

Author Peers

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

Author Last Decade Papers Cites
Goung‐Ran Yu 281 146 100 84 59 12 436
Futao Hou 293 1.0× 160 1.1× 140 1.4× 41 0.5× 67 1.1× 11 459
Zhimin Geng 236 0.8× 175 1.2× 80 0.8× 84 1.0× 46 0.8× 19 389
Patricia Hainaud 210 0.7× 82 0.6× 76 0.8× 55 0.7× 51 0.9× 15 411
Hyo-Eun Moon 298 1.1× 144 1.0× 93 0.9× 20 0.2× 52 0.9× 9 421
Jiugang Song 259 0.9× 161 1.1× 78 0.8× 35 0.4× 35 0.6× 16 386
Tzu‐I Chao 194 0.7× 87 0.6× 107 1.1× 60 0.7× 21 0.4× 10 470
Sabrina Priam 191 0.7× 67 0.5× 71 0.7× 36 0.4× 27 0.5× 13 457
S. Eggstein 213 0.8× 71 0.5× 108 1.1× 137 1.6× 189 3.2× 21 485
Soki Hibino 260 0.9× 63 0.4× 102 1.0× 64 0.8× 13 0.2× 17 396
Martina Mang Leng Lei 234 0.8× 130 0.9× 120 1.2× 31 0.4× 11 0.2× 10 383

Countries citing papers authored by Goung‐Ran Yu

Since Specialization
Citations

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

Fields of papers citing papers by Goung‐Ran Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Goung‐Ran Yu. 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 Goung‐Ran Yu. The network helps show where Goung‐Ran Yu may publish in the future.

Co-authorship network of co-authors of Goung‐Ran Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Goung‐Ran Yu. A scholar is included among the top collaborators of Goung‐Ran Yu 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 Goung‐Ran Yu. Goung‐Ran Yu 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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