Wanseop Kim

2.7k total citations · 1 hit paper
6 papers, 1.9k citations indexed

About

Wanseop Kim is a scholar working on Oncology, Cancer Research and Information Systems. According to data from OpenAlex, Wanseop Kim has authored 6 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Cancer Research and 2 papers in Information Systems. Recurrent topics in Wanseop Kim's work include HER2/EGFR in Cancer Research (3 papers), Breast Cancer Treatment Studies (3 papers) and Vascular Tumors and Angiosarcomas (1 paper). Wanseop Kim is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), Breast Cancer Treatment Studies (3 papers) and Vascular Tumors and Angiosarcomas (1 paper). Wanseop Kim collaborates with scholars based in United States and South Korea. Wanseop Kim's co-authors include Norman Wolmark, Charles E. Geyer, Soonmyung Paik, Steven Shak, Joffre Baker, D. Lawrence Wickerham, Gong Tang, Chungyeul Kim, Frederick L. Baehner and Maureen Cronin and has published in prestigious journals such as Journal of Clinical Oncology, Pathology International and Clinical Breast Cancer.

In The Last Decade

Wanseop Kim

4 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Gene Expression and Benefit of Chemotherapy in Women With Node-Negative, Estrogen Receptor–Positive Breast Cancer

2006 1.9k citations Soonmyung Paik, Gong Tang et al. Journal of Clinical Oncology profile →

Peers

Wanseop Kim

CR

ONCOL

MB

GENET

PFM

Sean Ferree United States

Tracy Lively United States

Jo Anne Zujewski United States

Arno Floore Netherlands

Lila Zabaglo United Kingdom

Eva Carrasco Spain

Kristi McIntyre United States

Anthony Skene United Kingdom

Oleg Gluz Germany

Sean Ferree United States

Wanseop Kim

1.6k ×1.1

CR

1.1k ×1.1

ONCOL

597 ×1.3

MB

444 ×1.0

GENET

294 ×0.8

PFM

Citations per year, relative to Wanseop Kim Wanseop Kim (= 1×) peers Sean Ferree

Countries citing papers authored by Wanseop Kim

Since Specialization

Citations

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

Fields of papers citing papers by Wanseop Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanseop Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Kim, Wanseop. (2023). Analysis of the Educational Effects Regarding the Use of ChatGPT in Compulsory Basic Coding Subjects. The Korean Association of General Education. 17(5). 113–123. 3 indexed citations

2.

Paik, Soonmyung, Gong Tang, Steven Shak, et al.. (2023). Gene Expression and Benefit of Chemotherapy in Women With Node-Negative, Estrogen Receptor–Positive Breast Cancer. Journal of Clinical Oncology. 41(20). 3565–3575. 5 indexed citations

3.

Kim, Wanseop, et al.. (2019). Exploring the direction of granular basic-software education considering the major of college students. Journal of the Korean Association of Information Education. 23(4). 329–341. 4 indexed citations

4.

Hamm, John, John Wilson, Priya Rastogi, et al.. (2008). Gemcitabine/Epirubicin/Paclitaxel as Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer: A Phase II Trial of the NSABP Foundation Research Group. Clinical Breast Cancer. 8(3). 257–263. 8 indexed citations

5.

Lim, So Dug, Wanseop Kim, Geunghwan Ahn, & Ghee Young Kwon. (2007). Protein expression and mutational analysis of epidermal growth factor receptor in renal angiomyolipomas. Pathology International. 57(9). 584–588. 1 indexed citations

6.

Paik, Soonmyung, Gong Tang, Steven Shak, et al.. (2006). Gene Expression and Benefit of Chemotherapy in Women With Node-Negative, Estrogen Receptor–Positive Breast Cancer. Journal of Clinical Oncology. 24(23). 3726–3734. 1871 indexed citations breakdown →

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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