Jae‐Jun Shim

74 papers receiving 1.6k citations

Jae‐Jun Shim's Hit Papers

Clinical Significance of Four Molecular Subtypes of Gastric Cancer Identified by The Cancer Genome Atlas Project 2017 · 357 citations
3570+3+6Years since publication100200300

Peers

Jae‐Jun Shim
Comparison fields: 5 of 79
  • Hepatology 221
  • Gastroenterology 121
  • Oncology 432
  • Pulmonary and Respiratory Medicine 500
  • Cancer Research 160
Replace Sameh Mikhail with:
Sameh Mikhail United States
Masao Tanaka Japan
Rebecca Harrison United Kingdom
Bita V. Naini United States
Jaume Boadas Spain
Keizo Sugimachi Japan
Jingmei Lin United States
Kiyohiko Yamashita Japan
Sun Young Yim South Korea
Masao Omata Japan
Jae‐Jun Shim relative to Sameh Mikhail United States Sameh Mikhail's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jae‐Jun Shim

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Jun Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Jun Shim. 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‐Jun Shim. The network helps show where Jae‐Jun Shim may publish in the future.

Co-authors

The 25 scholars most cited alongside Jae‐Jun Shim, 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 Jae‐Jun Shim Line = papers co-authored together Jae‐Jun Shim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical Significance of Four Molecular Subtypes of Gastric Cancer Identified by The Cancer Genome Atlas Project
Hit paper breakdown →
2017357
2 2013170
3 201795
4 201277
5 201357
6 201850
7 199546
8 201245
9 201444
10 201337
11 202234
12 201732
13 201527
14 202026
15 201724
16 201724
17 201823
18 201523
19 201322
20 201022

About Jae‐Jun Shim

Jae‐Jun Shim is a scholar working on Epidemiology, Surgery, Hepatology, Pulmonary and Respiratory Medicine and Genetics, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (11 papers), Liver Disease Diagnosis and Treatment (9 papers), Gastric Cancer Management and Outcomes (6 papers), Hepatitis C virus research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Gastrointestinal disorders and treatments (5 papers), Hepatitis Viruses Studies and Epidemiology (3 papers) and Gastrointestinal Tumor Research and Treatment (3 papers). The work is most often cited by research in Hepatology (221 citations), Gastroenterology (121 citations), Oncology (432 citations), Pulmonary and Respiratory Medicine (500 citations) and Cancer Research (160 citations). Jae‐Jun Shim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Chang Kyun Lee, Jae Young Jang, Jung‐Wook Kim, Byung‐Ho Kim, Young Woon Chang, Ju‐Seog Lee, Hyo Jong Kim, Keun‐Wook Lee, Bo Hwa Sohn and Jun‐Eul Hwang. Their work appears in journals such as Digestive Diseases and Sciences, Endoscopy, Journal of Gastroenterology and Hepatology, Gut and Liver and Journal of Korean Medical Science.

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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