Jin‐Sook Ryu

5.6k citations
208 papers · 4.2k · h-index 36

Impact in

Papers in

Jin‐Sook Ryu

193 papers receiving 4.2k citations

Peers

Jin‐Sook Ryu
Comparison fields: 5 of 115
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Radiology, Nuclear Medicine and Imaging 769
  • Pulmonary and Respiratory Medicine 726
  • Surgery 894
  • Pathology and Forensic Medicine 354
Replace Gabriella Nesi with:
Gabriella Nesi Italy
Simona Grozinsky‐Glasberg Israel
Marie‐Christine Copin France
Neil D. Gross United States
Andor W.J.M. Glaudemans Netherlands
Christian Radmayr Austria
Niels Willi Switzerland
N. Gopalakrishna Iyer Singapore
George E. Peoples United States
Kensuke Joh Japan
Jin‐Sook Ryu relative to Gabriella Nesi Italy Gabriella Nesi's profile →
Citations per field
00.5×6.2×
Gabriella Nesi · 1×
Citations per year

Countries citing papers authored by Jin‐Sook Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Sook Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Sook Ryu. 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 Jin‐Sook Ryu. The network helps show where Jin‐Sook Ryu may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin‐Sook Ryu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin‐Sook Ryu Line = papers co-authored together Jin‐Sook Ryu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009202
2 2008166
3 2002155
4 2009144
5 2008125
6 2012109
7 2002100
8 200296
9 200793
10 201187
11 201278
12 200777
13 200777
14 201367
15 199166
16 201864
17 200261
18 200658
19 201458
20 200657

About Jin‐Sook Ryu

Jin‐Sook Ryu is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 208 papers that have together received 4.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (36 papers), Lymphoma Diagnosis and Treatment (29 papers), Medical Imaging Techniques and Applications (21 papers), Esophageal Cancer Research and Treatment (17 papers), Medical Imaging and Pathology Studies (15 papers), CNS Lymphoma Diagnosis and Treatment (11 papers), Neuroendocrine Tumor Research Advances (11 papers) and Radiopharmaceutical Chemistry and Applications (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Radiology, Nuclear Medicine and Imaging (769 citations), Pulmonary and Respiratory Medicine (726 citations), Surgery (894 citations) and Pathology and Forensic Medicine (354 citations). Jin‐Sook Ryu has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Young Kee Shong, Tae Yong Kim, Won Bae Kim, Suck Joon Hong, Won Gu Kim, Gyungyub Gong, Dae Hyuk Moon, Eui Young Kim, Seung Jun Oh and Jong Ho Yoon. Their work appears in journals such as Blood, Clinical Endocrinology, Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Annals of Nuclear Medicine.

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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