Soo Jin Kwon

37 total papers · 754 total citations
18 papers, 593 citations indexed

About

Soo Jin Kwon is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Soo Jin Kwon has authored 18 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in Soo Jin Kwon's work include Medical Imaging Techniques and Applications (5 papers), Pharmacological Effects of Natural Compounds (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Soo Jin Kwon is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Pharmacological Effects of Natural Compounds (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Soo Jin Kwon collaborates with scholars based in South Korea, United States and Switzerland. Soo Jin Kwon's co-authors include Min Soo Byun, Do‐Hyung Kang, Joon Hwan Jang, Jun Soo Kwon, Chi‐Hoon Choi, Wi Hoon Jung, Kanghwa Kim, Sue Goo Rhee, Jin Sook Jeong and Sang Won Kang and has published in prestigious journals such as Biochemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Soo Jin Kwon

17 papers receiving 566 citations

Author Peers

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

Author						Papers	Cites
Soo Jin Kwon	185	169	137	111	75	18	593
Ihn‐Geun Choi	120 0.6×	66 0.4×	126 0.9×	70 0.6×	16 0.2×	28	669
靖彦村上	153 0.8×	37 0.2×	179 1.3×	78 0.7×	47 0.6×	18	636
Hiroki Murakami	172 0.9×	202 1.2×	115 0.8×	184 1.7×	33 0.4×	30	589
Mats Lindström	156 0.8×	135 0.8×	81 0.6×	33 0.3×	12 0.2×	17	621
J.C. González	120 0.6×	68 0.4×	188 1.4×	46 0.4×	15 0.2×	24	638
Bo Feng	127 0.7×	62 0.4×	186 1.4×	63 0.6×	21 0.3×	35	669
Lejin Yang	163 0.9×	98 0.6×	83 0.6×	82 0.7×	10 0.1×	21	648
S. Mohammad Ahmadi‐Soleimani	100 0.5×	28 0.2×	199 1.5×	118 1.1×	32 0.4×	40	690
Mario Catena-Dell’Osso	87 0.5×	116 0.7×	65 0.5×	64 0.6×	13 0.2×	25	650
Marshall B. Wallach	177 1.0×	49 0.3×	72 0.5×	26 0.2×	55 0.7×	27	698

Countries citing papers authored by Soo Jin Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Soo Jin Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo Jin Kwon. 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 Soo Jin Kwon. The network helps show where Soo Jin Kwon may publish in the future.

Co-authorship network of co-authors of Soo Jin Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Soo Jin Kwon. A scholar is included among the top collaborators of Soo Jin Kwon 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 Soo Jin Kwon. Soo Jin Kwon 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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