Yo Na Kim

982 total citations
39 papers, 812 citations indexed

About

Yo Na Kim is a scholar working on Molecular Biology, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Yo Na Kim has authored 39 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Physiology and 9 papers in Endocrine and Autonomic Systems. Recurrent topics in Yo Na Kim's work include Adipose Tissue and Metabolism (9 papers), Regulation of Appetite and Obesity (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Yo Na Kim is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Regulation of Appetite and Obesity (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Yo Na Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Yo Na Kim's co-authors include Je Kyung Seong, Il Yong Kim, Sun Shin Yi, Yeo Sung Yoon, In Koo Hwang, In Se Lee, Woo Sung Moon, Yoon Jeong Park, Injae Hwang and Ho‐Young Lee and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Yo Na Kim

39 papers receiving 805 citations

Peers

Yo Na Kim
Zelin Li China
Jung-Woo Seo South Korea
Steven S. Wu United States
Olga Cela Italy
B Hunyady Hungary
Ana C. Liberman Argentina
Eun‐Kyoung Kim South Korea
Kirsten P. Stone United States
Yo Na Kim
Citations per year, relative to Yo Na Kim Yo Na Kim (= 1×) peers Becky A. de la Houssaye

Countries citing papers authored by Yo Na Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yo Na Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yo Na Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yo Na Kim. A scholar is included among the top collaborators of Yo Na 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 Yo Na Kim. Yo Na 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.
Kim, Yo Na, Jae Hoon Shin, Soo Young Cho, et al.. (2021). Ahnak deficiency attenuates high-fat diet-induced fatty liver in mice through FGF21 induction. Experimental & Molecular Medicine. 53(3). 468–482. 12 indexed citations
2.
Kim, Il Yong, Sun Shin Yi, Jae Hoon Shin, et al.. (2020). Intensive morphometric analysis of enormous alterations in skeletal bone system with micro-CT for AHNAK−/− mice. Anatomical Science International. 95(3). 323–333. 8 indexed citations
3.
Park, Jun Won, Il Yong Kim, Ji Won Choi, et al.. (2018). AHNAK Loss in Mice Promotes Type II Pneumocyte Hyperplasia and Lung Tumor Development. Molecular Cancer Research. 16(8). 1287–1298. 23 indexed citations
4.
Kwak, Hyo Sung, et al.. (2018). Epithelioid sarcoma arising from the temporal space. Medicine. 97(38). e12529–e12529. 7 indexed citations
5.
Shin, Jae Hoon, Seo Hyun Lee, Yo Na Kim, et al.. (2016). AHNAK deficiency promotes browning and lipolysis in mice via increased responsiveness to β-adrenergic signalling. Scientific Reports. 6(1). 23426–23426. 22 indexed citations
6.
Kim, Yo Na, Kyoung Min Kim, Ha Na Choi, et al.. (2015). Clinical Usefulness of PCR for Differential Diagnosis of Tuberculosis and Nontuberculous Mycobacterial Infection in Paraffin-Embedded Lung Tissues. Journal of Molecular Diagnostics. 17(5). 597–604. 27 indexed citations
7.
Shin, Jae Hoon, Yo Na Kim, Il Yong Kim, et al.. (2015). Increased Cell Proliferations and Neurogenesis in the Hippocampal Dentate Gyrus of Ahnak Deficient Mice. Neurochemical Research. 40(7). 1457–1462. 12 indexed citations
8.
Nam, Sung Min, Yo Na Kim, Jong Whi Kim, et al.. (2015). Hairy and Enhancer of Split 6 (Hes6) Deficiency in Mouse Impairs Neuroblast Differentiation in Dentate Gyrus Without Affecting Cell Proliferation and Integration into Mature Neurons. Cellular and Molecular Neurobiology. 36(1). 57–67. 8 indexed citations
9.
Shin, Jae Hoon, Il Yong Kim, Yo Na Kim, et al.. (2015). Obesity Resistance and Enhanced Insulin Sensitivity in Ahnak-/- Mice Fed a High Fat Diet Are Related to Impaired Adipogenesis and Increased Energy Expenditure. PLoS ONE. 10(10). e0139720–e0139720. 22 indexed citations
10.
Lee, Minho, Sung-Hye Kim, Hyelin Na, et al.. (2014). Differential Regulation of Estrogen Receptor α Expression in Breast Cancer Cells by Metastasis-Associated Protein 1. Cancer Research. 74(5). 1484–1494. 69 indexed citations
11.
Kim, Yo Na, In Sik Hwang, Ji Eun Kim, et al.. (2013). Proteomic analysis of kidneys from selenoprotein M transgenic rats in response to increased bioability of selenium. Clinical Proteomics. 10(1). 10–10. 7 indexed citations
12.
Kim, Yo Na, Sangok Kim, Il Yong Kim, et al.. (2013). Transcriptomic Analysis of Insulin-Sensitive Tissues from Anti-Diabetic Drug Treated ZDF Rats, a T2DM Animal Model. PLoS ONE. 8(7). e69624–e69624. 2 indexed citations
13.
Jang, Kyu Yun, Yo Na Kim, Jun Sang Bae, et al.. (2012). Expression of Cyclin D1 Is Associated with β-Catenin Expression and Correlates with Good Prognosis in Colorectal Adenocarcinoma. Translational Oncology. 5(5). 370–378. 21 indexed citations
14.
Kim, Yo Na, Dae Young Yoo, Sun Shin Yi, et al.. (2011). Hypothyroid States Mitigate the Diabetes-Induced Reduction of Calbindin D-28k, Calretinin, and Parvalbumin Immunoreactivity in Type 2 Diabetic Rats. Neurochemical Research. 37(2). 253–260. 7 indexed citations
15.
Yi, Sun Shin, In Koo Hwang, Jae Hoon Shin, et al.. (2010). Regulatory mechanism of hypothalamo-pituitary–adrenal (HPA) axis and neuronal changes after adrenalectomy in type 2 diabetes. Journal of Chemical Neuroanatomy. 40(2). 130–139. 19 indexed citations
16.
Yoo, Kyung Hyun, Yo Na Kim, Min-Joo Lee, Je Kyung Seong, & Jong Hoon Park. (2009). Identification of apolipoproteinA1 reduction in the polycystic kidney by proteomics analysis of the Mxi1‐deficient mouse. PROTEOMICS. 9(15). 3824–3832. 9 indexed citations
17.
Kim, Il Yong, In Koo Hwang, Ji Won Choi, et al.. (2009). Effects of High Cholesterol Diet on Newly Generated Cells in the Dentate Gyrus of C57BL/6N and C3H/HeN Mice. Journal of Veterinary Medical Science. 71(6). 753–758. 10 indexed citations
18.
Yi, Sun Shin, In Koo Hwang, Yo Na Kim, et al.. (2008). Glucocorticoid Receptor Changes Associate with Age in the Paraventricular Nucleus of Type II Diabetic Rat Model. Neurochemical Research. 34(5). 851–858. 12 indexed citations
19.
Hwang, In Koo, Il Yong Kim, Yo Na Kim, et al.. (2008). Comparative Study on High Fat Diet-induced 4-Hydroxy-2E-nonenal Adducts in the Hippocampal CA1 Region of C57BL/6N and C3H/HeN Mice. Neurochemical Research. 34(5). 964–972. 14 indexed citations
20.
Hwang, In Koo, Sun Shin Yi, Yo Na Kim, et al.. (2007). Reduced Hippocampal Cell Differentiation in the Subgranular Zone of the Dentate Gyrus in a Rat Model of Type II Diabetes. Neurochemical Research. 33(3). 394–400. 40 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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