Seongsik Bang

893 total citations
46 papers, 623 citations indexed

About

Seongsik Bang is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Seongsik Bang has authored 46 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Cancer Research and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Seongsik Bang's work include Genetic factors in colorectal cancer (8 papers), Renal cell carcinoma treatment (5 papers) and Cancer Genomics and Diagnostics (5 papers). Seongsik Bang is often cited by papers focused on Genetic factors in colorectal cancer (8 papers), Renal cell carcinoma treatment (5 papers) and Cancer Genomics and Diagnostics (5 papers). Seongsik Bang collaborates with scholars based in South Korea, Switzerland and United States. Seongsik Bang's co-authors include Donald H. Enlow, F. Gaynor Evans, C. A. Baud, Kiseok Jang, Hyunsung Kim, Seung Sam Paik, Su‐Jin Shin, James L. Conklin, Jongmin Sim and Hosub Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Seongsik Bang

46 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seongsik Bang South Korea 12 174 116 90 81 76 46 623
Taku Kojima Japan 10 150 0.9× 116 1.0× 65 0.7× 57 0.7× 42 0.6× 23 443
Shuichi Morita Japan 6 214 1.2× 191 1.6× 110 1.2× 43 0.5× 31 0.4× 28 536
V. Dusevich United States 11 471 2.7× 117 1.0× 174 1.9× 71 0.9× 109 1.4× 17 881
Suchaya Pornprasertsuk‐Damrongsri Thailand 15 177 1.0× 84 0.7× 50 0.6× 34 0.4× 67 0.9× 42 629
Ming-Tzu Tsai Taiwan 15 230 1.3× 95 0.8× 81 0.9× 37 0.5× 69 0.9× 19 649
Noriaki Kawanabe Japan 16 434 2.5× 89 0.8× 85 0.9× 53 0.7× 85 1.1× 41 710
Anke Jeschke Germany 16 325 1.9× 31 0.3× 162 1.8× 43 0.5× 156 2.1× 31 769
Jeffrey Gorski United States 16 379 2.2× 124 1.1× 53 0.6× 37 0.5× 34 0.4× 23 887
Michitsuna Katafuchi Japan 9 131 0.8× 112 1.0× 40 0.4× 18 0.2× 36 0.5× 13 460
Christopher A. G. McCulloch Canada 7 310 1.8× 41 0.4× 48 0.5× 55 0.7× 33 0.4× 8 815

Countries citing papers authored by Seongsik Bang

Since Specialization
Citations

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

Fields of papers citing papers by Seongsik Bang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seongsik Bang. 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 Seongsik Bang. The network helps show where Seongsik Bang may publish in the future.

Co-authorship network of co-authors of Seongsik Bang

This figure shows the co-authorship network connecting the top 25 collaborators of Seongsik Bang. A scholar is included among the top collaborators of Seongsik Bang 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 Seongsik Bang. Seongsik Bang 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.
Park, Hosub, Seongsik Bang, Hyunsung Kim, et al.. (2023). ASAP1 Expression in Invasive Breast Cancer and Its Prognostic Role. International Journal of Molecular Sciences. 24(18). 14355–14355. 2 indexed citations
2.
Bang, Seongsik, et al.. (2023). Clinicopathological Significance of Cell Adhesion Molecule 4 Expression in Gallbladder Cancer and Its Prognostic Role. International Journal of Molecular Sciences. 24(8). 6898–6898. 3 indexed citations
3.
Park, Hosub, et al.. (2023). Low MTUS1 Protein Expression Is Associated with Poor Survival in Patients with Colorectal Adenocarcinoma. Diagnostics. 13(6). 1140–1140. 1 indexed citations
4.
Bang, Seongsik, et al.. (2023). Effects of Cortactin Expression on Prognosis in Patients with Breast Cancer. Diagnostics. 13(18). 2876–2876. 1 indexed citations
5.
Bang, Seongsik, Jongmin Sim, Hosub Park, et al.. (2022). Decreased Expression of Cell Adhesion Molecule 4 in Gastric Adenocarcinoma and Its Prognostic Implications. Diagnostics. 12(4). 941–941. 2 indexed citations
6.
Park, Hosub, et al.. (2022). CD47 Expression Predicts Unfavorable Prognosis in Clear Cell Renal Cell Carcinoma after Curative Resection. Diagnostics. 12(10). 2291–2291. 3 indexed citations
7.
Bang, Seongsik, et al.. (2022). CD47 Expression in Non-Melanoma Skin Cancers and Its Clinicopathological Implications. Diagnostics. 12(8). 1859–1859. 2 indexed citations
8.
Park, Hosub, Seongsik Bang, Hyunsung Kim, et al.. (2022). Loss of Single-Stranded DNA Binding Protein 2 Expression Is Associated with Aggressiveness and Poor Overall Survival in Patients with Invasive Breast Carcinoma. Diagnostics. 12(2). 487–487. 1 indexed citations
9.
Bang, Seongsik, et al.. (2022). Clinicopathological Implications of ASAP1 Expression in Hepatocellular Carcinoma. Pathology & Oncology Research. 28. 1610635–1610635. 5 indexed citations
10.
Kim, Hyunsung, Jongmin Sim, Seongsik Bang, et al.. (2021). Correlation of CD47 Expression with Adverse Clinicopathologic Features and an Unfavorable Prognosis in Colorectal Adenocarcinoma. Diagnostics. 11(4). 668–668. 10 indexed citations
11.
Bang, Seongsik, Hyunsung Kim, Hosub Park, et al.. (2021). Loss of DUSP4 Expression as a Prognostic Biomarker in Clear Cell Renal Cell Carcinoma. Diagnostics. 11(10). 1939–1939. 3 indexed citations
12.
Kim, Hyunsung, Seongsik Bang, Ha Young Park, et al.. (2021). Low-Level Expression of MTUS1 Is Associated with Poor Survival in Patients with Lung Adenocarcinoma. Diagnostics. 11(7). 1250–1250. 5 indexed citations
13.
Kim, Hyunsung, et al.. (2020). Nuclear Expression Loss of SSBP2 Is Associated with Poor Prognostic Factors in Colorectal Adenocarcinoma. Diagnostics. 10(12). 1097–1097. 6 indexed citations
14.
Bang, Seongsik, et al.. (2019). Primary Histiocytic Sarcoma Presenting as a Breast Mass: A Case Report. Journal of Breast Cancer. 22(3). 491–491. 4 indexed citations
15.
Bang, Seongsik, et al.. (2019). Branchial cleft cyst in the parotid gland in a human immunodeficiency virus-negative patient. Archives of Craniofacial Surgery. 20(3). 191–194. 1 indexed citations
16.
Bang, Seongsik, Ye-Seul Kim, Kiseok Jang, Seung Sam Paik, & Su‐Jin Shin. (2019). Clinicopathologic features of rheumatoid nodules: a retrospective analysis. Clinical Rheumatology. 38(11). 3041–3048. 16 indexed citations
17.
Kim, Hyunsung, Seongsik Bang, Jongmin Sim, et al.. (2019). Low Expression of Single-stranded DNA Binding Protein 2 (SSBP2) Predicts Unfavourable Postoperative Outcomes in Patients With Clear Cell Renal Cell Carcinoma. In Vivo. 34(1). 101–107. 2 indexed citations
18.
Bae, So Young, et al.. (2018). Primary Pulmonary Chordoid Meningioma. The Korean Journal of Thoracic and Cardiovascular Surgery. 51(6). 410–414. 5 indexed citations
19.
Min, Kyueng‐Whan, Dong‐Hoon Kim, Byoung Kwan Son, et al.. (2018). High TNFRSF12A level associated with MMP-9 overexpression is linked to poor prognosis in breast cancer: Gene set enrichment analysis and validation in large-scale cohorts. PLoS ONE. 13(8). e0202113–e0202113. 28 indexed citations
20.
Kim, Ye-Seul, et al.. (2017). The Smad4/PTEN Expression Pattern Predicts Clinical Outcomes in Colorectal Adenocarcinoma. Journal of Pathology and Translational Medicine. 52(1). 37–44. 11 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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