Eunha Kim

3.4k total citations · 1 hit paper
37 papers, 2.0k citations indexed

About

Eunha Kim is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Eunha Kim has authored 37 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Eunha Kim's work include Peroxisome Proliferator-Activated Receptors (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Eunha Kim is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Eunha Kim collaborates with scholars based in South Korea, United States and Japan. Eunha Kim's co-authors include Jun R. Huh, Donggi Paik, Dan R. Littman, Fraydoon Rastinejad, Saiyu Hang, Randy Longman, A. Sloan Devlin, Lin Wu, Lina Yao and Michael A. Fischbach and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Neuroscience.

In The Last Decade

Eunha Kim

33 papers receiving 2.0k citations

Hit Papers

Bile acid metabolites control TH17 and Treg cell differen... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunha Kim South Korea 18 1.0k 356 328 324 252 37 2.0k
Ping Lin China 32 1.4k 1.4× 218 0.6× 320 1.0× 656 2.0× 336 1.3× 112 3.1k
Arnaud Muller Luxembourg 20 2.3k 2.2× 307 0.9× 340 1.0× 617 1.9× 277 1.1× 42 3.3k
Aadra P. Bhatt United States 24 1.3k 1.3× 290 0.8× 211 0.6× 220 0.7× 549 2.2× 48 2.2k
W. Vallen Graham United States 17 1.5k 1.4× 220 0.6× 418 1.3× 432 1.3× 270 1.1× 23 3.0k
Fausto Sánchez‐Muñoz Mexico 26 779 0.8× 470 1.3× 435 1.3× 347 1.1× 125 0.5× 117 2.3k
Knud Josefsen Denmark 26 880 0.9× 192 0.5× 313 1.0× 299 0.9× 182 0.7× 71 2.0k
Candace M. Cham United States 17 1.4k 1.4× 240 0.7× 626 1.9× 667 2.1× 325 1.3× 24 2.7k
Wenbo Wang China 25 851 0.8× 316 0.9× 184 0.6× 170 0.5× 245 1.0× 136 2.1k
Renxian Tang China 29 1.0k 1.0× 431 1.2× 264 0.8× 351 1.1× 173 0.7× 98 2.3k
Robert Mansourian Switzerland 27 1.2k 1.2× 300 0.8× 168 0.5× 650 2.0× 123 0.5× 39 2.3k

Countries citing papers authored by Eunha Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eunha Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunha Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eunha Kim. A scholar is included among the top collaborators of Eunha 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 Eunha Kim. Eunha 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
2.
Kim, Hyun Jung, et al.. (2024). An integrative single-cell atlas for exploring the cellular and temporal specificity of genes related to neurological disorders during human brain development. Experimental & Molecular Medicine. 56(10). 2271–2282. 8 indexed citations
3.
Kim, Eunha, et al.. (2024). Differences in maternal subgingival microbiome between preterm and term births: The MOHEPI study. Journal of Periodontal Research. 59(5). 939–950. 1 indexed citations
4.
Kim, Eunha, Jun R. Huh, & Gloria B. Choi. (2024). Prenatal and postnatal neuroimmune interactions in neurodevelopmental disorders. Nature Immunology. 25(4). 598–606. 17 indexed citations
5.
Oh, Youjin, Eunha Kim, Seulgi Lee, et al.. (2023). GIRK2 potassium channels expressed by the AgRP neurons decrease adiposity and body weight in mice. PLoS Biology. 21(8). e3002252–e3002252. 5 indexed citations
6.
Kim, Eunha, et al.. (2023). miRNA-Induced Downregulation of IPMK in Macrophages Mediates Lipopolysaccharide-Triggered TLR4 Signaling. Biomolecules. 13(2). 332–332. 5 indexed citations
7.
Kalish, Brian T., Eunha Kim, Erin E. Duffy, et al.. (2020). Maternal immune activation in mice disrupts proteostasis in the fetal brain. Nature Neuroscience. 24(2). 204–213. 95 indexed citations
8.
Kim, Wooseob, Eunha Kim, Min Kim, et al.. (2019). Inositol polyphosphates promote T cell-independent humoral immunity via the regulation of Bruton’s tyrosine kinase. Proceedings of the National Academy of Sciences. 116(26). 12952–12957. 21 indexed citations
9.
Hang, Saiyu, Donggi Paik, Lina Yao, et al.. (2019). Bile acid metabolites control TH17 and Treg cell differentiation. Nature. 576(7785). 143–148. 956 indexed citations breakdown →
10.
Kim, Eunha, et al.. (2017). The Expanding Significance of Inositol Polyphosphate Multikinase as a Signaling Hub. Molecules and Cells. 40(5). 315–321. 29 indexed citations
11.
Kim, Dong Eon, Mi‐Jin Jang, Young Ran Kim, et al.. (2017). Prediction of drug-induced immune-mediated hepatotoxicity using hepatocyte-like cells derived from human embryonic stem cells. Toxicology. 387. 1–9. 26 indexed citations
12.
Kim, Eunha, Seulgi Lee, Min Kim, et al.. (2017). Inositol polyphosphate multikinase promotes Toll-like receptor–induced inflammation by stabilizing TRAF6. Science Advances. 3(4). e1602296–e1602296. 37 indexed citations
13.
Kim, Eunha, et al.. (2015). IPMK: A versatile regulator of nuclear signaling events. Advances in Biological Regulation. 61. 25–32. 33 indexed citations
14.
Kang, Suna, et al.. (2014). The Effects of Using Artificial Sweeteners and Coffee Grounds in Chocolate Filling on Quality Characteristics and Glycemic Index. Journal of Applied Biological Chemistry. 57(4). 307–312. 7 indexed citations
15.
Kim, Ki Wook, et al.. (2014). Analysis of Prescriptions from Taepyeonghyeminhwajegukbang, Somunsunmyungronbang and Nansilbijang. 27(4). 121–131. 2 indexed citations
16.
Owens, Brenda F., Alexander E. Lipka, Maria Magallanes‐Lundback, et al.. (2014). A Foundation for Provitamin A Biofortification of Maize: Genome-Wide Association and Genomic Prediction Models of Carotenoid Levels. Genetics. 198(4). 1699–1716. 155 indexed citations
17.
Kim, Eunha, et al.. (2010). Gly-Ala-Gly-Val-Gly-Tyr, a novel synthetic peptide, improves glucose transport and exerts beneficial lipid metabolic effects in 3T3-L1 adipoctyes. European Journal of Pharmacology. 650(1). 479–485. 14 indexed citations
18.
Lee, Young Jin, et al.. (2008). Interventional microadhesiolysis: A new nonsurgical release technique for adhesive capsulitis of the shoulder. BMC Musculoskeletal Disorders. 9(1). 12–12. 13 indexed citations
19.
Kim, Eunha, et al.. (2007). The Effect of Palmultang(八物湯) on the Ovarian Functions and Differential Gene Expression of Caspase-3, MAPK and MPG in Female Mice. The Journal of Korean Obstetrics and Gynecology. 20(3). 1–23. 3 indexed citations
20.
Kim, Eunha, et al.. (2007). The Effect of Houttuynia cordata thunberg(魚腥草) on the inhibition of growth of leiomyomas and apoptosis. The Journal of Korean Obstetrics and Gynecology. 20(3). 1–12. 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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