Hyun‐Dong Chae

474 total citations
24 papers, 302 citations indexed

About

Hyun‐Dong Chae is a scholar working on Pulmonary and Respiratory Medicine, Gastroenterology and Surgery. According to data from OpenAlex, Hyun‐Dong Chae has authored 24 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 12 papers in Gastroenterology and 9 papers in Surgery. Recurrent topics in Hyun‐Dong Chae's work include Gastric Cancer Management and Outcomes (13 papers), Gastrointestinal Tumor Research and Treatment (12 papers) and Cancer Research and Treatments (5 papers). Hyun‐Dong Chae is often cited by papers focused on Gastric Cancer Management and Outcomes (13 papers), Gastrointestinal Tumor Research and Treatment (12 papers) and Cancer Research and Treatments (5 papers). Hyun‐Dong Chae collaborates with scholars based in South Korea, China and United States. Hyun‐Dong Chae's co-authors include Chang‐Ho Jeon, Inhwan Kim, Chang‐Ho Cho, Inho Kim, Sang Gyu Kwak, Se Won Kim, Im-Hee Shin, Chang Min Lee, Jae-Seok Min and Sung Soo Park and has published in prestigious journals such as Medicine, Clinica Chimica Acta and Annals of Surgical Oncology.

In The Last Decade

Hyun‐Dong Chae

24 papers receiving 296 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hyun‐Dong Chae South Korea 12 173 135 127 75 33 24 302
Elisabetta Marino Italy 10 195 1.1× 159 1.2× 100 0.8× 116 1.5× 36 1.1× 27 337
R Aujeský Czechia 9 200 1.2× 224 1.7× 50 0.4× 86 1.1× 63 1.9× 48 352
Shinsuke Hatori Japan 11 286 1.7× 196 1.5× 158 1.2× 63 0.8× 43 1.3× 39 398
M. Ohgami Japan 9 231 1.3× 136 1.0× 121 1.0× 59 0.8× 19 0.6× 23 346
Toshiyuki Natsume Japan 9 150 0.9× 166 1.2× 72 0.6× 102 1.4× 36 1.1× 42 313
Chiemi Nakayama Japan 8 191 1.1× 230 1.7× 130 1.0× 22 0.3× 35 1.1× 11 335
Suh Eun Bae South Korea 9 209 1.2× 247 1.8× 39 0.3× 49 0.7× 47 1.4× 18 342
Anamay N. Sharma United States 7 129 0.7× 351 2.6× 127 1.0× 41 0.5× 38 1.2× 15 423
C Antonescu United States 8 165 1.0× 81 0.6× 81 0.6× 86 1.1× 37 1.1× 11 259
H.-J. Krämling Germany 11 235 1.4× 272 2.0× 65 0.5× 96 1.3× 29 0.9× 25 389

Countries citing papers authored by Hyun‐Dong Chae

Since Specialization
Citations

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

Fields of papers citing papers by Hyun‐Dong Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyun‐Dong Chae. 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 Hyun‐Dong Chae. The network helps show where Hyun‐Dong Chae may publish in the future.

Co-authorship network of co-authors of Hyun‐Dong Chae

This figure shows the co-authorship network connecting the top 25 collaborators of Hyun‐Dong Chae. A scholar is included among the top collaborators of Hyun‐Dong Chae 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 Hyun‐Dong Chae. Hyun‐Dong Chae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chae, Hyun‐Dong, et al.. (2023). The Fidelity of Artificial Intelligence to Multidisciplinary Tumor Board Recommendations for Patients with Gastric Cancer: A Retrospective Study. Journal of Gastrointestinal Cancer. 55(1). 365–372. 9 indexed citations
2.
Yang, Chun‐Seok, et al.. (2021). Detection of Circulating Gastrointestinal Cancer Cells in Conditionally Reprogrammed Cell Culture. In Vivo. 35(3). 1515–1520. 4 indexed citations
3.
4.
5.
Kim, In‐Hwan, Sung Soo Park, Chang Min Lee, et al.. (2018). Efficacy of Adjuvant S-1 Versus XELOX Chemotherapy for Patients with Gastric Cancer After D2 Lymph Node Dissection: A Retrospective, Multi-Center Observational Study. Annals of Surgical Oncology. 25(5). 1176–1183. 25 indexed citations
6.
7.
Chae, Hyun‐Dong, et al.. (2016). Effect of Acupuncture on Reducing Duration of Postoperative Ileus After Gastrectomy in Patients with Gastric Cancer: A Pilot Study Using Sitz Marker. The Journal of Alternative and Complementary Medicine. 22(6). 465–472. 21 indexed citations
8.
Chae, Hyun‐Dong & Inhwan Kim. (2016). Prognostic significance of CEA expression by RT-PCR in peritoneal wash from patients with gastric cancer: result of a 5-year follow-up after curative resection. Scandinavian Journal of Gastroenterology. 51(8). 956–960. 12 indexed citations
9.
Chae, Hyun‐Dong. (2016). Role of genetic detection in peritoneal washes with gastric carcinoma: The past, present and future. World Journal of Gastrointestinal Oncology. 8(3). 289–289. 3 indexed citations
10.
Kwon, Oh Kyoung, Se Won Kim, Hyun‐Dong Chae, et al.. (2016). Validation of the 7th AJCC/UICC staging system for gastric cancer and a proposal for a new TNM system based on a prognostic score: a retrospective multicenter study. Annals of Surgical Treatment and Research. 91(6). 295–295. 13 indexed citations
11.
Kim, Inhwan, Sang Gyu Kwak, & Hyun‐Dong Chae. (2015). Prognostic Factors of Patients with Gastric Gastrointestinal Stromal Tumor after Curative Resection: A Retrospective Analysis of 406 Consecutive Cases in a Multicenter Study. European Surgical Research. 55(1-2). 12–23. 7 indexed citations
12.
Chae, Hyun‐Dong & Chang‐Ho Jeon. (2014). Peutz-Jeghers syndrome with germline mutation of STK11. Annals of Surgical Treatment and Research. 86(6). 325–325. 24 indexed citations
13.
Jeon, Chang‐Ho, Inho Kim, & Hyun‐Dong Chae. (2014). Prognostic Value of Genetic Detection Using CEA and MAGE in Peritoneal Washes With Gastric Carcinoma After Curative Resection. Medicine. 93(11). e83–e83. 20 indexed citations
14.
Kim, Inhwan, Inho Kim, Sang Gyu Kwak, Se Won Kim, & Hyun‐Dong Chae. (2014). Gastrointestinal stromal tumors (GISTs) of the stomach: a multicenter, retrospective study of curatively resected gastric GISTs. Annals of Surgical Treatment and Research. 87(6). 298–298. 20 indexed citations
15.
Lee, A‐Jin, et al.. (2012). γδ T cells are increased in the peripheral blood of patients with gastric cancer. Clinica Chimica Acta. 413(19-20). 1495–1499. 13 indexed citations
16.
Jeon, Chang‐Ho, et al.. (2011). Melanoma-Associated Antigen (MAGE) Expression in the Normal Mucosa around Colorectal Cancer after Curative Resection: Presence of Undetectable Free Cancer Cells?. The International Journal of Biological Markers. 26(2). 88–93. 3 indexed citations
17.
Chae, Hyun‐Dong, et al.. (2011). Composite Neuroendocrine Carcinoma with Adenocarcinoma of the Stomach Misdiagnosed as a Giant Submucosal Tumor. Journal of the Korean Gastric Cancer Association. 11(2). 126–126. 12 indexed citations
18.
Cho, Chang‐Ho, et al.. (2011). Cystic lymphangioma of the pancreas. Journal of the Korean Surgical Society. 81(2). 141–141. 10 indexed citations
19.
Jeon, Chang‐Ho, Im-Hee Shin, Joonsoo Park, & Hyun‐Dong Chae. (2010). Prognostic Significance of MAGE in Peritoneal Washes in Gastric Carcinoma Patients Without Peritoneal Metastasis. Journal of Clinical Gastroenterology. 44(10). 682–686. 10 indexed citations
20.
Chae, Hyun‐Dong, et al.. (2009). Phytobezoar of the Stomach. Digestive Surgery. 26(6). 451–452. 1 indexed citations

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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