Jae–Hwi Jang

28 total papers · 790 total citations
24 papers, 589 citations indexed

About

Jae–Hwi Jang is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Jae–Hwi Jang has authored 24 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 7 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Jae–Hwi Jang's work include Transplantation: Methods and Outcomes (8 papers), Organ Transplantation Techniques and Outcomes (7 papers) and Peptidase Inhibition and Analysis (6 papers). Jae–Hwi Jang is often cited by papers focused on Transplantation: Methods and Outcomes (8 papers), Organ Transplantation Techniques and Outcomes (7 papers) and Peptidase Inhibition and Analysis (6 papers). Jae–Hwi Jang collaborates with scholars based in Switzerland, Germany and Belgium. Jae–Hwi Jang's co-authors include Wolfgang Jungraithmayr, Walter Weder, Rolf Graf, Yoshito Yamada, Pierre–Alain Clavien, Bostjan Humar, Kuno Lehmann, Andreas Rickenbacher, Ingrid De Meester and Dimitri Aristotle Raptis and has published in prestigious journals such as Gastroenterology, Hepatology and Diabetes.

In The Last Decade

Jae–Hwi Jang

23 papers receiving 582 citations

Author Peers

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

Author						Papers	Cites
Jae–Hwi Jang	230	199	147	119	113	24	589
Thomas Grünberger	152 0.7×	145 0.7×	188 1.3×	82 0.7×	202 1.8×	29	690
Yoshitaka Ueda	203 0.9×	311 1.6×	60 0.4×	77 0.6×	80 0.7×	22	618
Hiromitsu Nagata	160 0.7×	324 1.6×	152 1.0×	72 0.6×	152 1.3×	35	663
Po‐Sheng Yang	153 0.7×	151 0.8×	94 0.6×	46 0.4×	70 0.6×	28	534
Ludovica Ceci	140 0.6×	126 0.6×	61 0.4×	222 1.9×	156 1.4×	33	527
Jain Jeong	77 0.3×	181 0.9×	72 0.5×	125 1.1×	105 0.9×	28	500
Tianfei Lu	167 0.7×	258 1.3×	62 0.4×	154 1.3×	128 1.1×	26	556
Hiroaki Aoki	138 0.6×	356 1.8×	157 1.1×	120 1.0×	53 0.5×	29	693
Teruo Utsumi	94 0.4×	220 1.1×	71 0.5×	243 2.0×	199 1.8×	18	667
Chunyan Xia	150 0.7×	210 1.1×	63 0.4×	87 0.7×	60 0.5×	33	609

Countries citing papers authored by Jae–Hwi Jang

Since Specialization

Citations

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

Fields of papers citing papers by Jae–Hwi Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae–Hwi Jang. 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 Jae–Hwi Jang. The network helps show where Jae–Hwi Jang may publish in the future.

Co-authorship network of co-authors of Jae–Hwi Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Jae–Hwi Jang. A scholar is included among the top collaborators of Jae–Hwi Jang 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 Jae–Hwi Jang. Jae–Hwi Jang 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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