Jin Seok Jang

1.1k total citations
51 papers, 814 citations indexed

About

Jin Seok Jang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Gastroenterology. According to data from OpenAlex, Jin Seok Jang has authored 51 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 30 papers in Surgery and 17 papers in Gastroenterology. Recurrent topics in Jin Seok Jang's work include Gastric Cancer Management and Outcomes (29 papers), Metastasis and carcinoma case studies (15 papers) and Helicobacter pylori-related gastroenterology studies (13 papers). Jin Seok Jang is often cited by papers focused on Gastric Cancer Management and Outcomes (29 papers), Metastasis and carcinoma case studies (15 papers) and Helicobacter pylori-related gastroenterology studies (13 papers). Jin Seok Jang collaborates with scholars based in South Korea, United States and Japan. Jin Seok Jang's co-authors include Min Chan Kim, Seok Reyol Choi, Hyuk-Chan Kwon, Sung Yong Oh, Suee Lee, Kyung A Kwon, Jin‐Yeong Han, Kyeong Hee Kim, Hyojin Kim and Myung Hwan Noh and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Jin Seok Jang

48 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Seok Jang South Korea 16 470 382 275 203 103 51 814
Norihisa Takakura Japan 16 419 0.9× 536 1.4× 355 1.3× 117 0.6× 89 0.9× 94 990
George Pappas‐Gogos Greece 16 372 0.8× 651 1.7× 274 1.0× 90 0.4× 140 1.4× 50 1000
Tomohiko Sasaki Japan 17 225 0.5× 458 1.2× 186 0.7× 133 0.7× 95 0.9× 48 732
Nobutomo Miyanari Japan 16 247 0.5× 289 0.8× 189 0.7× 115 0.6× 80 0.8× 54 677
Fabio Uggeri Italy 15 302 0.6× 495 1.3× 265 1.0× 63 0.3× 73 0.7× 66 836
Felipe José Fernández Coimbra Brazil 15 514 1.1× 560 1.5× 428 1.6× 72 0.4× 55 0.5× 74 893
Mingwei Zheng China 5 238 0.5× 317 0.8× 187 0.7× 61 0.3× 68 0.7× 11 589
Gianni Pantuso Italy 17 204 0.4× 306 0.8× 173 0.6× 86 0.4× 151 1.5× 49 717
Takashi Irinoda Japan 14 236 0.5× 261 0.7× 181 0.7× 72 0.4× 79 0.8× 42 537
Hsiu‐Po Wang Taiwan 15 310 0.7× 343 0.9× 400 1.5× 69 0.3× 163 1.6× 31 814

Countries citing papers authored by Jin Seok Jang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Seok Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Seok Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Seok Jang. A scholar is included among the top collaborators of Jin Seok 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 Jin Seok Jang. Jin Seok Jang 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.
2.
Jung, Yunho, Gwang Ho Baik, Weon Jin Ko, et al.. (2021). Diode Laser—Can It Replace the Electrical Current Used in Endoscopic Submucosal Dissection? (with Video). Clinical Endoscopy. 54(4). 555–562. 3 indexed citations
3.
4.
Hwang, Jae Seok & Jin Seok Jang. (2020). Correlation between healing type of lesion and recurrence in gastric neoplastic lesions after endoscopic submucosal dissection. The Turkish Journal of Gastroenterology. 31(1). 36–41. 5 indexed citations
5.
Jang, Jin Seok, et al.. (2020). Pneumothorax Following Gastric Endoscopic Mucosal Resection. SHILAP Revista de lepidopterología. 76(2). 83–87. 1 indexed citations
6.
Park, Narae, Jin Seok Jang, & Jae Chul Hwang. (2019). Acquired Hemophilia A with Gastrointestinal Bleeding. Clinical Endoscopy. 53(1). 90–93. 6 indexed citations
7.
Noh, Myung Hwan, et al.. (2013). A comparison of the BISAP score and serum procalcitonin for predicting the severity of acute pancreatitis. The Korean Journal of Internal Medicine. 28(3). 322–322. 34 indexed citations
8.
Sugimoto, Mitsushige, Jin Seok Jang, Satoshi Osawa, et al.. (2012). Proton Pump Inhibitor Therapy before and after Endoscopic Submucosal Dissection: A Review. Diagnostic and therapeutic endoscopy. 2012. 1–11. 13 indexed citations
9.
Choi, Seok Reyol, et al.. (2012). A Case of Synchronous Esophagus and Stomach Cancer Successfully Treated by Combined Chemotherapy. Korean Journal of Gastroenterology. 60(2). 113–113. 3 indexed citations
10.
Jang, Jin Seok, Seok Reyol Choi, Hyuk Chan Kwon, et al.. (2011). A study of metachronous cancer after endoscopic resection of early gastric cancer. Scandinavian Journal of Gastroenterology. 46(9). 1099–1104. 48 indexed citations
11.
Noh, Myung Hwan, Jeong Min Seo, Hyunah Yoon, et al.. (2011). Comparison of Serum Procalcitonin with Ranson, APACHE-II, Glasgow and Balthazar CT Severity Index Scores in Predicting Severity of Acute Pancreatitis. Korean Journal of Gastroenterology. 58(1). 31–31. 39 indexed citations
12.
13.
Kwon, Hyuk‐Chan, Min Chan Kim, Ki Han Kim, et al.. (2010). Adjuvant chemoradiation versus chemotherapy in completely resected advanced gastric cancer with D2 nodal dissection. Asia-Pacific Journal of Clinical Oncology. 6(4). 278–285. 51 indexed citations
14.
Jang, Jin Seok, Seok Reyol Choi, David Y. Graham, et al.. (2009). Risk factors for immediate and delayed bleeding associated with endoscopic submucosal dissection of gastric neoplastic lesions. Scandinavian Journal of Gastroenterology. 44(11). 1370–1376. 39 indexed citations
15.
Jang, Jin Seok, Seok Reyol Choi, Waqar Qureshi, et al.. (2009). Long-term outcomes of endoscopic submucosal dissection in gastric neoplastic lesions at a single institution in South Korea. Scandinavian Journal of Gastroenterology. 44(11). 1315–1322. 44 indexed citations
16.
Kim, Do-Kyong, Sung Yong Oh, Hyuk-Chan Kwon, et al.. (2009). Clinical significances of preoperative serum interleukin-6 and C-reactive protein level in operable gastric cancer. BMC Cancer. 9(1). 155–155. 155 indexed citations
17.
Oh, Sung Yong, Hyuk-Chan Kwon, Sung-Hyun Kim, et al.. (2008). Clinicopathologic significance of HIF-1α, p53, and VEGF expression and preoperative serum VEGF level in gastric cancer. BMC Cancer. 8(1). 123–123. 65 indexed citations
18.
Choi, Seok Reyol, Jin Seok Jang, Jong Hun Lee, et al.. (2006). Role of Serum Tumor Markers in Monitoring for Recurrence of Gastric Cancer Following Radical Gastrectomy. Digestive Diseases and Sciences. 51(11). 2081–2086. 43 indexed citations
19.
Choi, Seok Reyol, Seung Ho Han, Dong Hyun Lee, et al.. (2005). [A case of giant gastric villous tumor with carcinomatous change].. PubMed. 45(6). 431–5. 1 indexed citations
20.
Han, Sang Young, et al.. (2004). [A case of Heyde's syndrome with abnormal von Willebrand factor].. PubMed. 43(2). 133–6. 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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