Soo‐Jin Kim

590 total citations
32 papers, 453 citations indexed

About

Soo‐Jin Kim is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Soo‐Jin Kim has authored 32 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Soo‐Jin Kim's work include Genomics and Phylogenetic Studies (4 papers), Cancer-related molecular mechanisms research (4 papers) and Gene expression and cancer classification (4 papers). Soo‐Jin Kim is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Cancer-related molecular mechanisms research (4 papers) and Gene expression and cancer classification (4 papers). Soo‐Jin Kim collaborates with scholars based in South Korea, Japan and United States. Soo‐Jin Kim's co-authors include Byoung‐Tak Zhang, Je‐Gun Joung, Kyu‐Baek Hwang, Jung-Woo Ha, Byoung‐Tak Zhang, Heebal Kim, Sung Jin Kim, DongAhn Yoo, Ram D. Sriram and Sung‐Young Shin and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Soo‐Jin Kim

31 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soo‐Jin Kim South Korea 11 259 137 53 51 40 32 453
Jinghui Zhang China 9 362 1.4× 61 0.4× 63 1.2× 21 0.4× 32 0.8× 15 559
Yifei Tang China 12 338 1.3× 117 0.9× 57 1.1× 25 0.5× 63 1.6× 33 551
Wanting Zhang China 15 249 1.0× 57 0.4× 60 1.1× 27 0.5× 106 2.6× 81 662
Bob Chan United States 7 306 1.2× 85 0.6× 84 1.6× 14 0.3× 22 0.6× 10 463
Upasana Mangrolia India 4 280 1.1× 90 0.7× 78 1.5× 16 0.3× 28 0.7× 4 575
Adam McDermaid United States 11 465 1.8× 87 0.6× 42 0.8× 27 0.5× 52 1.3× 16 655
Animesh Sharma Norway 15 429 1.7× 64 0.5× 55 1.0× 34 0.7× 107 2.7× 50 736
Johnson Thomas United States 14 169 0.7× 49 0.4× 76 1.4× 37 0.7× 29 0.7× 41 555
Balal Sadeghı Iran 12 268 1.0× 142 1.0× 20 0.4× 44 0.9× 22 0.6× 28 448
Shahid Banday United States 10 506 2.0× 125 0.9× 101 1.9× 16 0.3× 81 2.0× 18 868

Countries citing papers authored by Soo‐Jin Kim

Since Specialization
Citations

This map shows the geographic impact of Soo‐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 Soo‐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 Soo‐Jin Kim more than expected).

Fields of papers citing papers by Soo‐Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soo‐Jin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Soo‐Jin Kim. A scholar is included among the top collaborators of Soo‐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 Soo‐Jin Kim. Soo‐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
1.
2.
Park, Jungsun, Eunkyung Shin, Ae Kyung Park, et al.. (2020). Co-infection With Chromosomally-Located blaCTX-M-14 and Plasmid-Encoding blaCTX-M-15 in Pathogenic Escherichia coli in the Republic of Korea. Frontiers in Microbiology. 11. 545591–545591. 4 indexed citations
3.
Jeong, Seongkeun, Hanju Lee, Soo‐Jin Kim, et al.. (2019). 5-Aminosalicylic Acid Azo-Coupled with a GPR109A Agonist Is a Colon-Targeted Anticolitic Codrug with a Reduced Risk of Skin Toxicity. Molecular Pharmaceutics. 17(1). 167–179. 17 indexed citations
6.
Yoo, DongAhn, et al.. (2019). Establishment and evaluation of prediction model for multiple disease classification based on gut microbial data. Scientific Reports. 9(1). 10189–10189. 38 indexed citations
7.
Hamada, Moriyuki, Hayoung Cho, Hang‐Yeon Weon, et al.. (2019). Weissella cryptocerci sp. nov., isolated from gut of the insect Cryptocercus kyebangensis. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 69(9). 2801–2806. 19 indexed citations
8.
Kim, Jeong-Seon, et al.. (2018). Isolation and identification of Aureobasidium spp. from flowers of the Jeolla-do province in Korea. The Korean Journal of Mycology. 46(4). 415–425. 2 indexed citations
9.
Smith, Mia J., Rochelle M. Hinman, Andrew Getahun, et al.. (2018). Silencing of high-affinity insulin-reactive B lymphocytes by anergy and impact of the NOD genetic background in mice. Diabetologia. 61(12). 2621–2632. 20 indexed citations
10.
Riew, Tae‐Ryong, et al.. (2018). Spatiotemporal Expression of GRP78 in the Blood Vessels of Rats Treated With 3-Nitropropionic Acid Correlates With Blood–Brain Barrier Disruption. Frontiers in Cellular Neuroscience. 12. 434–434. 10 indexed citations
11.
Kim, Soo‐Jin, Sojeong Ka, Jung-Woo Ha, et al.. (2017). Cattle genome-wide analysis reveals genetic signatures in trypanotolerant N’Dama. BMC Genomics. 18(1). 371–371. 31 indexed citations
12.
Germond, Arno & Soo‐Jin Kim. (2015). Genetic diversity of oxytetracycline-resistant bacteria and tet(M) genes in two major coastal areas of South Korea. Journal of Global Antimicrobial Resistance. 3(3). 166–173. 7 indexed citations
13.
Kim, Soo‐Jin, Jae-Hyung Ahn, Tae‐Hyung Lee, et al.. (2013). Reyranella soli sp. nov., isolated from forest soil, and emended description of the genus Reyranella Pagnier et al. 2011. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 63(Pt_9). 3164–3167. 30 indexed citations
14.
Kim, Soo‐Jin, Jung-Woo Ha, & Byoung‐Tak Zhang. (2013). Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning. BMC Systems Biology. 7(1). 47–47. 16 indexed citations
15.
Joung, Je‐Gun, Soo‐Jin Kim, Soo-Yong Shin, & Byoung‐Tak Zhang. (2012). A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset. BMC Bioinformatics. 13(S17). S12–S12. 9 indexed citations
16.
Kim, Soo‐Jin, Jung-Woo Ha, Bado Lee, & Byoung‐Tak Zhang. (2010). Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules. 1–8. 7 indexed citations
17.
Kim, Jinah, et al.. (2009). Molecular Epidemiological Relationship of the Pathogenicity of Legionella spp. Isolated from Water Systems in Seoul. Korean Journal of Microbiology. 45(2). 126–132. 1 indexed citations
18.
Kim, Soo‐Jin, Sung‐Young Shin, In‐Hee Lee, et al.. (2008). PIE: an online prediction system for protein-protein interactions from text. Nucleic Acids Research. 36(Web Server). W411–W415. 45 indexed citations
19.
Nam, Ki Hyun, Soo‐Jin Kim, Minyoung Kim, et al.. (2008). Crystal structure of engineered β‐glucosidase from a soil metagenome. Proteins Structure Function and Bioinformatics. 73(3). 788–793. 16 indexed citations
20.
Kim, Soo‐Jin, et al.. (2002). Ultrastructural Character on the Cuticular Surface of Thelazia callipaeda. Han-guk hyeonmigyeong hakoeji/Applied microscopy. 32(1). 45–55. 2 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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