Do Kim

1.6k total citations
24 papers, 1.1k citations indexed

About

Do Kim is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Do Kim has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Do Kim's work include Transgenic Plants and Applications (3 papers), Colorectal Cancer Screening and Detection (2 papers) and MicroRNA in disease regulation (2 papers). Do Kim is often cited by papers focused on Transgenic Plants and Applications (3 papers), Colorectal Cancer Screening and Detection (2 papers) and MicroRNA in disease regulation (2 papers). Do Kim collaborates with scholars based in United States, South Korea and Italy. Do Kim's co-authors include Qun Lu, Zhibin Yang, Tiaosi Xing, Ronald W. Dudek, Yanhua Chen, Paul A. Watkins, Stephen J. Gould, Katherine A. Sacksteder, Stephanie J. Mihalik and James C. Morrell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Molecules.

In The Last Decade

Do Kim

21 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Do Kim United States 14 572 259 180 172 133 24 1.1k
X Chen China 20 781 1.4× 435 1.7× 116 0.6× 55 0.3× 168 1.3× 58 1.3k
Audrey Lasry Israel 10 595 1.0× 500 1.9× 60 0.3× 135 0.8× 200 1.5× 11 1.3k
Atsushi Kondo Japan 21 864 1.5× 222 0.9× 65 0.4× 158 0.9× 144 1.1× 109 1.6k
Dae‐Seog Lim South Korea 23 516 0.9× 227 0.9× 29 0.2× 155 0.9× 124 0.9× 54 1.2k
Jayati Chakrabarti United States 24 508 0.9× 600 2.3× 89 0.5× 181 1.1× 279 2.1× 63 1.6k
Yuefeng Yang China 21 588 1.0× 273 1.1× 72 0.4× 150 0.9× 387 2.9× 34 1.1k
Nyree Crawford United Kingdom 21 889 1.6× 405 1.6× 44 0.2× 135 0.8× 189 1.4× 34 1.2k
Songbo Xie China 26 1.1k 1.9× 377 1.5× 29 0.2× 89 0.5× 131 1.0× 67 1.6k
Deding Tao China 20 795 1.4× 394 1.5× 41 0.2× 80 0.5× 427 3.2× 69 1.3k
U‐Ging Lo United States 18 409 0.7× 168 0.6× 31 0.2× 192 1.1× 192 1.4× 24 770

Countries citing papers authored by Do Kim

Since Specialization
Citations

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

Fields of papers citing papers by Do Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Do Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Do Kim. A scholar is included among the top collaborators of Do 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 Do Kim. Do 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.
Kim, Do, et al.. (2022). Evaluating intramuscular neural distribution in the cricopharyngeus muscle for injecting botulinum toxin. Auris Nasus Larynx. 50(1). 87–93. 1 indexed citations
3.
Kim, Do, Sang‐Soo Lee, & Young‐Kyung Bae. (2019). Colorectal cancer cells differentially impact migration and microRNA expression in endothelial cells. Oncology Letters. 18(6). 6361–6370. 8 indexed citations
4.
Choi, Mi Sun, Sungmin Moon, Seul Lee, et al.. (2018). Adenosine induces intrinsic apoptosis via the PI3K/Akt/mTOR signaling pathway in human pharyngeal squamous carcinoma FaDu cells. Oncology Letters. 15(5). 6489–6496. 18 indexed citations
5.
Lee, Nam‐Seob, et al.. (2018). Extract of Rhus�verniciflua stokes protects against renal ischemia-reperfusion injury by enhancing Nrf2-mediated induction of antioxidant enzymes. Experimental and Therapeutic Medicine. 15(4). 3827–3835. 11 indexed citations
6.
Lee, Chang Hyun, et al.. (2017). Effects of Extruded Linseed Supplementation on Methane Production in Holstein Steers. Han-guk choji josaryo hakoeji. 37(4). 315–321. 1 indexed citations
7.
Kim, Do, Tiaosi Xing, Zhibin Yang, et al.. (2017). Epithelial Mesenchymal Transition in Embryonic Development, Tissue Repair and Cancer: A Comprehensive Overview. Journal of Clinical Medicine. 7(1). 1–1. 221 indexed citations
8.
Lü, Zhe, Do Kim, Junming Fan, et al.. (2015). A non-tight junction function of claudin-7—Interaction with integrin signaling in suppressing lung cancer cell proliferation and detachment. Molecular Cancer. 14(1). 120–120. 69 indexed citations
9.
Peyster, Ann de, et al.. (2014). Responses of the steroidogenic pathway from exposure to methyl-tert-butyl ether and tert-butanol. Toxicology. 319. 23–37. 9 indexed citations
10.
Oh, Young Kyoon, Do Kim, Sang Ho Moon, et al.. (2014). Energy Balance and Methane Production of Hanwoo Cows Fed Various Kind of Roughage. Han-guk choji josaryo hakoeji. 34(4). 283–287. 1 indexed citations
11.
Hiatt, Andrew, Natasha Bohorova, Ognian Bohorov, et al.. (2014). Glycan variants of a respiratory syncytial virus antibody with enhanced effector function and in vivo efficacy. Proceedings of the National Academy of Sciences. 111(16). 5992–5997. 87 indexed citations
12.
Zeitlin, Larry, Ognian Bohorov, Natasha Bohorova, et al.. (2013). Prophylactic and therapeutic testing of Nicotiana-derived RSV-neutralizing human monoclonal antibodies in the cotton rat model. mAbs. 5(2). 263–269. 24 indexed citations
13.
Kim, Do, et al.. (2011). Encephalitis Induced by 2009 H1N1 Influenza A. Journal of the Korean Neurological Association. 29(3). 238–240.
14.
Pogue, Gregory P., Fakhrieh Vojdani, Kenneth E. Palmer, et al.. (2010). Production of pharmaceutical‐grade recombinant aprotinin and a monoclonal antibody product using plant‐based transient expression systems. Plant Biotechnology Journal. 8(5). 638–654. 135 indexed citations
15.
Hassan, Cesare, Do Kim, Emilio Di Giulio, et al.. (2009). Systematic review: distribution of advanced neoplasia according to polyp size at screening colonoscopy. Alimentary Pharmacology & Therapeutics. 31(2). 210–217. 119 indexed citations
16.
Hassan, Cesare, Angelo Zullo, Emilio Di Giulio, et al.. (2009). Cost-effectiveness of early colonoscopy surveillance after cancer resection. Digestive and Liver Disease. 41(12). 881–885. 22 indexed citations
17.
Lauwick, Séverine, Do Kim, Giovanni Mistraletti, et al.. (2008). Intraoperative lidocaine infusion spares postoperative fentanyl in patients undergoing ambulatory laparoscopic cholecystectomy. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 55(S1). 4751831–4751831. 3 indexed citations
18.
Choi, Eunyoung, Jun‐Ho Lee, Jungsu S. Oh, et al.. (2007). Integrative characterization of germ cell-specific genes from mouse spermatocyte UniGene library. BMC Genomics. 8(1). 256–256. 23 indexed citations
19.
Park, Woong, et al.. (2005). A Case of Primary Aldosteronism with Rhabdomyolysis. Kidney Research and Clinical Practice. 24(5). 845–850. 2 indexed citations
20.
Mihalik, Stephanie J., James C. Morrell, Do Kim, et al.. (1997). Identification of PAHX, a Refsum disease gene. Nature Genetics. 17(2). 185–189. 180 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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