Won Seon Bang

513 total citations
10 papers, 386 citations indexed

About

Won Seon Bang is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Won Seon Bang has authored 10 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Won Seon Bang's work include Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (3 papers) and Immune Cell Function and Interaction (3 papers). Won Seon Bang is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (3 papers) and Immune Cell Function and Interaction (3 papers). Won Seon Bang collaborates with scholars based in South Korea. Won Seon Bang's co-authors include In Hye Song, Sun‐Hee Heo, Gyungyub Gong, In Ah Park, Young‐Ae Kim, Hee Jin Lee, Hye Seon Park, Suk Young Park, Miseon Lee and Jin Roh and has published in prestigious journals such as PLoS ONE, Oncotarget and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

In The Last Decade

Won Seon Bang

9 papers receiving 382 citations

Peers

Won Seon Bang

ONCOL

IMMUN

MB

CR

PRM

Linhda Nguyen United States

Changchang Lu China

David O. Rosenberg United States

Dora Hammerl Netherlands

Maria McSharry United States

Xiaozheng Chen China

Maria Semiannikova United Kingdom

Henrik Aamodt Norway

Jeffrey C. Roeser United States

Adam B. Sendor United States

Linhda Nguyen United States

Won Seon Bang

202 ×0.8

ONCOL

149 ×0.7

IMMUN

133 ×1.1

MB

56 ×0.9

CR

35 ×0.9

PRM

Citations per year, relative to Won Seon Bang Won Seon Bang (= 1×) peers Linhda Nguyen

Countries citing papers authored by Won Seon Bang

Since Specialization

Citations

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

Fields of papers citing papers by Won Seon Bang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won Seon Bang

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

All Works

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10 of 10 papers shown

1.

Bang, Won Seon, et al.. (2024). Analysis and Development of Antigen-specific T Cells Derived from Peripheral Blood Mononuclear Cells of Healthy Donors. Anticancer Research. 44(4). 1377–1387.

2.

Song, In Hye, Young‐Ae Kim, Sun‐Hee Heo, et al.. (2021). The Association of Estrogen Receptor Activity, Interferon Signaling, and MHC Class I Expression in Breast Cancer. Cancer Research and Treatment. 54(4). 1111–1120. 8 indexed citations

3.

Lee, Miseon, In Hye Song, Sun‐Hee Heo, et al.. (2018). Expression of Immunoproteasome Subunit LMP7 in Breast Cancer and Its Association with Immune-Related Markers. Cancer Research and Treatment. 51(1). 80–89. 31 indexed citations

4.

Song, In Hye, et al.. (2018). CD11c-Positive Dendritic Cells in Triple-negative Breast Cancer. In Vivo. 32(6). 1561–1569. 27 indexed citations

5.

Park, In Ah, In Hye Song, Sun‐Hee Heo, et al.. (2017). Expression of the MHC class II in triple-negative breast cancer is associated with tumor-infiltrating lymphocytes and interferon signaling. PLoS ONE. 12(8). e0182786–e0182786. 90 indexed citations

6.

Kim, Joo Young, Sun‐Hee Heo, Seul Ki Choi, et al.. (2017). Glutaminase expression is a poor prognostic factor in node-positive triple-negative breast cancer patients with a high level of tumor-infiltrating lymphocytes. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 470(4). 381–389. 29 indexed citations

7.

Song, In Hye, Young‐Ae Kim, Sun‐Hee Heo, et al.. (2017). ADAR1 expression is associated with tumour-infiltrating lymphocytes in triple-negative breast cancer. Tumor Biology. 39(10). 2901612448–2901612448. 21 indexed citations

8.

Lee, Hee Jin, Young‐Ae Kim, Sun‐Hee Heo, et al.. (2017). Expansion of tumor-infiltrating lymphocytes and their potential for application as adoptive cell transfer therapy in human breast cancer. Oncotarget. 8(69). 113345–113359. 62 indexed citations

9.

Song, In Hye, Sun‐Hee Heo, Won Seon Bang, et al.. (2016). Predictive Value of Tertiary Lymphoid Structures Assessed by High Endothelial Venule Counts in the Neoadjuvant Setting of Triple-Negative Breast Cancer. Cancer Research and Treatment. 49(2). 399–407. 99 indexed citations

10.

Park, In Ah, Sun‐Hee Heo, In Hye Song, et al.. (2016). Endoplasmic reticulum stress induces secretion of high-mobility group proteins and is associated with tumor-infiltrating lymphocytes in triple-negative breast cancer. Oncotarget. 7(37). 59957–59964. 19 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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