Seung Jin Kim

5.4k total citations
167 papers, 3.7k citations indexed

About

Seung Jin Kim is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Seung Jin Kim has authored 167 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Cancer Research, 53 papers in Oncology and 40 papers in Molecular Biology. Recurrent topics in Seung Jin Kim's work include Breast Cancer Treatment Studies (33 papers), Cancer Genomics and Diagnostics (22 papers) and Textile materials and evaluations (18 papers). Seung Jin Kim is often cited by papers focused on Breast Cancer Treatment Studies (33 papers), Cancer Genomics and Diagnostics (22 papers) and Textile materials and evaluations (18 papers). Seung Jin Kim collaborates with scholars based in Japan, South Korea and United States. Seung Jin Kim's co-authors include Shinzaburo Noguchi, Kenzo Shimazu, Yasuhiro Tamaki, Tetsuya Taguchi, Tomonori Tanei, Yasuto Naoi, Yoshio Tanji, Naofumi Kagara, Yasuo Miyoshi and Koji Morimoto and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Seung Jin Kim

154 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seung Jin Kim Japan 30 1.6k 1.5k 1.5k 431 408 167 3.7k
Bora Lim United States 29 1.9k 1.2× 1.3k 0.9× 1.3k 0.9× 793 1.8× 352 0.9× 153 3.8k
Shi‐Long Lu United States 29 1.1k 0.7× 669 0.4× 1.8k 1.3× 320 0.7× 529 1.3× 63 3.3k
Ian S. Hagemann United States 25 2.0k 1.3× 798 0.5× 999 0.7× 608 1.4× 300 0.7× 96 4.2k
Anita Grigoriadis United Kingdom 35 2.4k 1.5× 1.8k 1.1× 3.5k 2.4× 932 2.2× 390 1.0× 94 6.1k
Ke‐Da Yu China 40 2.5k 1.6× 2.4k 1.6× 2.2k 1.5× 890 2.1× 614 1.5× 173 5.9k
Linbo Wang China 34 835 0.5× 1.5k 1.0× 2.0k 1.4× 940 2.2× 179 0.4× 140 4.1k
Melinda L. Telli United States 37 3.4k 2.2× 1.7k 1.1× 1.8k 1.2× 1.2k 2.7× 439 1.1× 128 5.4k
Jean‐Louis Merlin France 30 963 0.6× 599 0.4× 974 0.7× 828 1.9× 289 0.7× 154 2.7k
Christian Dittrich Austria 33 1.6k 1.0× 664 0.4× 1.4k 1.0× 833 1.9× 299 0.7× 136 4.0k
Michael Meister Germany 41 1.4k 0.9× 1.6k 1.1× 2.5k 1.7× 1.8k 4.2× 230 0.6× 155 6.7k

Countries citing papers authored by Seung Jin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seung Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seung Jin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seung Jin Kim. A scholar is included among the top collaborators of Seung Jin 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 Seung Jin Kim. Seung Jin Kim 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
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Sato, Yasufumi, Masafumi Shimoda, Tomohiro Miyake, et al.. (2021). Enhanced humoral immunity in breast cancer patients with high serum concentration of anti‐HER2 autoantibody. Cancer Medicine. 10(4). 1418–1430. 9 indexed citations
5.
Naoi, Yasuto, Masafumi Shimoda, Tomonori Tanei, et al.. (2021). Impact of tumor cellularity on the HER2 amplification assay by OncoScan™ in breast cancer. Breast Cancer. 28(4). 977–982.
6.
Kim, Seung Jin, Yasuto Naoi, Keiichiro Honma, et al.. (2020). Determining homologous recombination deficiency scores with whole exome sequencing and their association with responses to neoadjuvant chemotherapy in breast cancer. Translational Oncology. 14(2). 100986–100986. 12 indexed citations
7.
Miyake, Tomohiro, Kenzo Shimazu, Tomonori Tanei, et al.. (2019). Hookwire-guided Sentinel Lymph Node Biopsy Using Contrast-enhanced Ultrasonography Followed by a One-step Nucleic Acid Amplification (OSNA) Assay for Breast Cancer. Anticancer Research. 39(11). 6183–6192. 7 indexed citations
8.
Naoi, Yasuto, Kenzo Shimazu, Masafumi Shimoda, et al.. (2019). Clinicopathological analysis of homologous recombination-deficient breast cancers with special reference to response to neoadjuvant paclitaxel followed by FEC. Breast Cancer Research and Treatment. 174(3). 627–637. 15 indexed citations
9.
Shimoda, Masafumi, Naofumi Kagara, Yasuto Naoi, et al.. (2016). Protective effect of naturally occurring anti-HER2 autoantibodies on breast cancer. Breast Cancer Research and Treatment. 157(1). 55–63. 40 indexed citations
10.
Kim, Seon Hee, et al.. (2015). Association between the emotional status of family caregivers and length of stay in a palliative care unit: A retrospective study. Palliative & Supportive Care. 13(6). 1695–1700. 12 indexed citations
11.
Chu, Kanghyun, Byung‐Kweon Jang, Ji Ho Sung, et al.. (2015). Enhancement of the anisotropic photocurrent in ferroelectric oxides by strain gradients. Nature Nanotechnology. 10(11). 972–979. 141 indexed citations
12.
Gohda, Keigo, Michelle L. Davis, W. Fraser Symmans, et al.. (2013). Novel Functional Assay for Spindle-Assembly Checkpoint by Cyclin-Dependent Kinase Activity to Predict Taxane Chemosensitivity in Breast Tumor Patient. Journal of Cancer. 4(9). 697–702. 5 indexed citations
13.
Fujita, Noriko, Takahiro Nakayama, Noriaki Yamamoto, et al.. (2012). Methylated DNA and Total DNA in Serum Detected by One-Step Methylation-Specific PCR Is Predictive of Poor Prognosis for Breast Cancer Patients. Oncology. 83(5). 273–282. 49 indexed citations
14.
Miyoshi, Yasuo, Masafumi Kurosumi, Junichi Kurebayashi, et al.. (2009). Predictive factors for anthracycline-based chemotherapy for human breast cancer. Breast Cancer. 17(2). 103–109. 13 indexed citations
15.
Tanei, Tomonori, Koji Morimoto, Kenzo Shimazu, et al.. (2009). Association of Breast Cancer Stem Cells Identified by Aldehyde Dehydrogenase 1 Expression with Resistance to Sequential Paclitaxel and Epirubicin-Based Chemotherapy for Breast Cancers. Clinical Cancer Research. 15(12). 4234–4241. 475 indexed citations
16.
Miyoshi, Yasuo, Masafumi Kurosumi, Junichi Kurebayashi, et al.. (2007). Low nuclear grade but not cell proliferation predictive of pathological complete response to docetaxel in human breast cancers. Journal of Cancer Research and Clinical Oncology. 134(5). 561–567. 10 indexed citations
17.
Akazawa, Kenji, Yasuhiro Tamaki, Tetsuya Taguchi, et al.. (2006). Preoperative Evaluation of Residual Tumor Extent by Three-Dimensional Magnetic Resonance Imaging in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy. The Breast Journal. 12(2). 130–137. 66 indexed citations
18.
Kim, Seung Jin & Jong‐Soo Lee. (2000). Development of Global Function Approximations for Design Optimization Using Evolutionary Fuzzy Modeling. 14(11). 1206–1215. 2 indexed citations
19.
Kim, Seung Jin, et al.. (1997). Preparation and Characterizations of Two-Component Polyurethane Flame Retardant Coatings Using Bromo Modified Polyesters. Journal of Industrial and Engineering Chemistry. 3(1). 63–69. 1 indexed citations
20.
Kim, Seung Jin. (1983). Evaluation of and reform proposals for promotion policies in the Korean machinery industry. 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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