Seung‐Mo Hong

28.3k total citations · 1 hit paper
379 papers, 11.1k citations indexed

About

Seung‐Mo Hong is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, Seung‐Mo Hong has authored 379 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 266 papers in Oncology, 152 papers in Surgery and 89 papers in Epidemiology. Recurrent topics in Seung‐Mo Hong's work include Pancreatic and Hepatic Oncology Research (161 papers), Neuroendocrine Tumor Research Advances (77 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (69 papers). Seung‐Mo Hong is often cited by papers focused on Pancreatic and Hepatic Oncology Research (161 papers), Neuroendocrine Tumor Research Advances (77 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (69 papers). Seung‐Mo Hong collaborates with scholars based in South Korea, United States and Japan. Seung‐Mo Hong's co-authors include Michael Goggins, Ralph H. Hruban, Anirban Maitra, Eunsil Yu, Noriyuki Omura, Joo Young Kim, Song Cheol Kim, Michael Borges, Ki Byung Song and Jae Y. Ro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Seung‐Mo Hong

365 papers receiving 11.0k citations

Hit Papers

Presence of Somatic Mutations in Most Early-Stage Pancrea... 2012 2026 2016 2021 2012 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Presence of Somatic Mutations in Most Early-Stage Pancreatic Intraepithelial Neoplasia
    2012 534 citations Mitsuro Kanda, Seung‐Mo Hong et al. profile →

Peers

Seung‐Mo Hong
Iréne Esposito Germany
Masayuki Imamura Japan
Yung‐Ming Jeng Taiwan
Jeffrey A. Drebin United States
Matteo Fassan Italy
Robert R. McWilliams United States
Aatur D. Singhi United States
Robert Grützmann Germany
Robert L. Camp United States
Hideki Ueno Japan
Iréne Esposito Germany
Seung‐Mo Hong
Citations per year, relative to Seung‐Mo Hong Seung‐Mo Hong (= 1×) peers Iréne Esposito

Countries citing papers authored by Seung‐Mo Hong

Since Specialization
Citations

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

Fields of papers citing papers by Seung‐Mo Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung‐Mo Hong. 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 Seung‐Mo Hong. The network helps show where Seung‐Mo Hong may publish in the future.

Co-authorship network of co-authors of Seung‐Mo Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Seung‐Mo Hong. A scholar is included among the top collaborators of Seung‐Mo Hong 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 Seung‐Mo Hong. Seung‐Mo Hong 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.
Mattiolo, Paola, Huamin Wang, Olca Baştürk, et al.. (2023). Comprehensive characterisation of acinar cystic transformation of the pancreas: a systematic review. Journal of Clinical Pathology. 76(11). 740–746. 4 indexed citations
3.
Jun, Sun‐Young, Seung‐Mo Hong, & Kee‐Taek Jang. (2023). Prognostic Significance of Cyclin D1 Expression in Small Intestinal Adenocarcinoma. Cancers. 15(20). 5032–5032. 1 indexed citations
4.
Kim, Hongbeom, Dohyun Han, Yoseop Kim, et al.. (2021). A Clinically Applicable 24-Protein Model for Classifying Risk Subgroups in Pancreatic Ductal Adenocarcinomas using Multiple Reaction Monitoring-Mass Spectrometry. Clinical Cancer Research. 27(12). 3370–3382. 12 indexed citations
5.
Hata, Tatsuo, Marco Dal Molin, Seung‐Mo Hong, et al.. (2017). Predicting the Grade of Dysplasia of Pancreatic Cystic Neoplasms Using Cyst Fluid DNA Methylation Markers. Clinical Cancer Research. 23(14). 3935–3944. 59 indexed citations
6.
Kim, Joo Young, Jacqueline A. Brosnan‐Cashman, Soyeon An, et al.. (2016). Alternative Lengthening of Telomeres in Primary Pancreatic Neuroendocrine Tumors Is Associated with Aggressive Clinical Behavior and Poor Survival. Clinical Cancer Research. 23(6). 1598–1606. 108 indexed citations
7.
Zhong, Yi, Yoshiki Naito, Leslie Cope, et al.. (2014). Functional p38 MAPK Identified by Biomarker Profiling of Pancreatic Cancer Restrains Growth through JNK Inhibition and Correlates with Improved Survival. Clinical Cancer Research. 20(23). 6200–6211. 35 indexed citations
8.
Roh, Jin, Spencer Knight, Joon‐Yong Chung, et al.. (2013). S100A4 expression is a prognostic indicator in small intestine adenocarcinoma. Journal of Clinical Pathology. 67(3). 216–221. 10 indexed citations
9.
Dua, Pooja, Hye Suk Kang, Seung‐Mo Hong, et al.. (2013). Alkaline Phosphatase ALPPL-2 Is a Novel Pancreatic Carcinoma-Associated Protein. Cancer Research. 73(6). 1934–1945. 74 indexed citations
10.
Hong, Seung‐Mo, Audrey Vincent, Mitsuro Kanda, et al.. (2012). Genome-Wide Somatic Copy Number Alterations in Low-Grade PanINs and IPMNs from Individuals with a Family History of Pancreatic Cancer. Clinical Cancer Research. 18(16). 4303–4312. 45 indexed citations
11.
Hong, Seung‐Mo, Noriyuki Omura, Audrey Vincent, et al.. (2011). Genome-Wide CpG Island Profiling of Intraductal Papillary Mucinous Neoplasms of the Pancreas. Clinical Cancer Research. 18(3). 700–712. 57 indexed citations
12.
Yu, Jun, Ang Li, Seung‐Mo Hong, Ralph H. Hruban, & Michael Goggins. (2011). MicroRNA Alterations of Pancreatic Intraepithelial Neoplasias. Clinical Cancer Research. 18(4). 981–992. 174 indexed citations
13.
Chenna, Venugopal, Chaoxin Hu, Dipankar Pramanik, et al.. (2011). A Polymeric Nanoparticle Encapsulated Small-Molecule Inhibitor of Hedgehog Signaling (NanoHHI) Bypasses Secondary Mutational Resistance to Smoothened Antagonists. Molecular Cancer Therapeutics. 11(1). 165–173. 69 indexed citations
14.
Vincent, Audrey, Noriyuki Omura, Seung‐Mo Hong, et al.. (2011). Genome-Wide Analysis of Promoter Methylation Associated with Gene Expression Profile in Pancreatic Adenocarcinoma. Clinical Cancer Research. 17(13). 4341–4354. 137 indexed citations
15.
Gupta, Sonal, Dipankar Pramanik, Nathaniel R. Campbell, et al.. (2011). Molecular Determinants of Retinoic Acid Sensitivity in Pancreatic Cancer. Clinical Cancer Research. 18(1). 280–289. 52 indexed citations
16.
Walter, Kimberly, Noriyuki Omura, Seung‐Mo Hong, et al.. (2010). Overexpression of Smoothened Activates the Sonic Hedgehog Signaling Pathway in Pancreatic Cancer–Associated Fibroblasts. Clinical Cancer Research. 16(6). 1781–1789. 145 indexed citations
17.
Li, Ang, Noriyuki Omura, Seung‐Mo Hong, et al.. (2010). Pancreatic Cancers Epigenetically Silence SIP1 and Hypomethylate and Overexpress miR-200a/200b in Association with Elevated Circulating miR-200a and miR-200b Levels. Cancer Research. 70(13). 5226–5237. 225 indexed citations
18.
Feldmann, Georg, Anjali Mishra, Seung‐Mo Hong, et al.. (2010). Inhibiting the Cyclin-Dependent Kinase CDK5 Blocks Pancreatic Cancer Formation and Progression through the Suppression of Ras-Ral Signaling. Cancer Research. 70(11). 4460–4469. 138 indexed citations
19.
Bisht, Savita, Masamichi Mizuma, Georg Feldmann, et al.. (2010). Systemic Administration of Polymeric Nanoparticle-Encapsulated Curcumin (NanoCurc) Blocks Tumor Growth and Metastases in Preclinical Models of Pancreatic Cancer. Molecular Cancer Therapeutics. 9(8). 2255–2264. 169 indexed citations
20.
Álvarez, Héctor M., Alejandro H. Corvalán, Juan Carlos Roa, et al.. (2008). Serial Analysis of Gene Expression Identifies Connective Tissue Growth Factor Expression as a Prognostic Biomarker in Gallbladder Cancer. Clinical Cancer Research. 14(9). 2631–2638. 33 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Iréne Esposito Breakdown of academic impact, for papers by Masayuki Imamura Breakdown of academic impact, for papers by Yung‐Ming Jeng Breakdown of academic impact, for papers by Jeffrey A. Drebin Breakdown of academic impact, for papers by Matteo Fassan Breakdown of academic impact, for papers by Robert R. McWilliams Breakdown of academic impact, for papers by Aatur D. Singhi Breakdown of academic impact, for papers by Robert Grützmann Breakdown of academic impact, for papers by Robert L. Camp Breakdown of academic impact, for papers by Hideki Ueno
Rankless by CCL
2026