M O Kim

630 total citations
9 papers, 521 citations indexed

About

M O Kim is a scholar working on Molecular Biology, Physiology and Developmental Neuroscience. According to data from OpenAlex, M O Kim has authored 9 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Developmental Neuroscience. Recurrent topics in M O Kim's work include Neurogenesis and neuroplasticity mechanisms (3 papers), Adipose Tissue and Metabolism (2 papers) and Ziziphus Jujuba Studies and Applications (1 paper). M O Kim is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (3 papers), Adipose Tissue and Metabolism (2 papers) and Ziziphus Jujuba Studies and Applications (1 paper). M O Kim collaborates with scholars based in South Korea and United States. M O Kim's co-authors include Sonia Shah, Noman Bin Abid, Tae Hoon Kim, Dae‐Jin Yun, Seungsoo Chung, Ray A. Bressan, Bo Hyun Lee, Jong Yoon Bahk, Jae Seog Hyun and Dongwon Baek and has published in prestigious journals such as Cell Death and Differentiation, Molecular Psychiatry and Cell Death and Disease.

In The Last Decade

M O Kim

9 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M O Kim South Korea	9	209	135	112	85	69	9	521
Koji Hashida Japan	10	212 1.0×	63 0.5×	66 0.6×	93 1.1×	65 0.9×	11	547
Mónica Espinoza-Rojo Mexico	12	224 1.1×	64 0.5×	61 0.5×	93 1.1×	93 1.3×	25	523
Ekaterina Turlova Canada	15	308 1.5×	76 0.6×	102 0.9×	43 0.5×	95 1.4×	21	842
Fangfang Dou China	14	245 1.2×	84 0.6×	109 1.0×	48 0.6×	92 1.3×	25	622
In-Young Choi South Korea	14	268 1.3×	189 1.4×	62 0.6×	46 0.5×	49 0.7×	36	762
Nemat Khan Australia	17	238 1.1×	208 1.5×	68 0.6×	66 0.8×	60 0.9×	30	765
Yuxia Xu China	14	379 1.8×	158 1.2×	123 1.1×	126 1.5×	90 1.3×	29	768
Shuang Hao China	14	225 1.1×	75 0.6×	71 0.6×	68 0.8×	46 0.7×	30	533
Fumitaka Kawakami Japan	15	298 1.4×	172 1.3×	45 0.4×	40 0.5×	86 1.2×	50	726
Cheng-Ying Ho Taiwan	10	291 1.4×	152 1.1×	67 0.6×	51 0.6×	27 0.4×	11	626

Countries citing papers authored by M O Kim

Since Specialization

Citations

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

Fields of papers citing papers by M O Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M O Kim

This figure shows the co-authorship network connecting the top 25 collaborators of M O Kim. A scholar is included among the top collaborators of M O 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 M O Kim. M O Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Yang, Ye, M O Kim, Ho Jeong Lee, et al.. (2024). Ziziphus jujuba Miller Ethanol Extract Restores Disrupted Intestinal Barrier Function via Tight Junction Recovery and Reduces Inflammation. Antioxidants. 13(5). 575–575. 8 indexed citations

2.

Jeong, Sekyoo, et al.. (2019). Epidermal Endocannabinoid System (EES) and its Cosmetic Application. Cosmetics. 6(2). 33–33. 15 indexed citations

3.

Shah, Sonia, et al.. (2017). Osmotin reduced amyloid beta (Aβ) burden by inhibiting SREBP2 expression in APP/PS1 mice. Molecular Psychiatry. 22(3). 323–323. 11 indexed citations

4.

Shah, Sonia, et al.. (2016). Novel osmotin inhibits SREBP2 via the AdipoR1/AMPK/SIRT1 pathway to improve Alzheimer’s disease neuropathological deficits. Molecular Psychiatry. 22(3). 407–416. 178 indexed citations

5.

Badshah, Haroon, Tahir Ali, Ashfaq Ahmad, et al.. (2015). Co-Treatment with Anthocyanins and Vitamin C Ameliorates Ethanol- Induced Neurodegeneration via Modulation of GABAB Receptor Signaling in the Adult Rat Brain. CNS & Neurological Disorders - Drug Targets. 14(6). 791–803. 18 indexed citations

6.

Shah, Sonia, et al.. (2014). Novel osmotin attenuates glutamate-induced synaptic dysfunction and neurodegeneration via the JNK/PI3K/Akt pathway in postnatal rat brain. Cell Death and Disease. 5(1). e1026–e1026. 68 indexed citations

7.

Naseer, Muhammad Imran, Ikram Ullah, Meena L. Narasimhan, et al.. (2014). Neuroprotective effect of osmotin against ethanol-induced apoptotic neurodegeneration in the developing rat brain. Cell Death and Disease. 5(3). e1150–e1150. 50 indexed citations

8.

Kang, Chang Ho, Won Yong Jung, Yun Kang, et al.. (2005). AtBAG6, a novel calmodulin-binding protein, induces programmed cell death in yeast and plants. Cell Death and Differentiation. 13(1). 84–95. 122 indexed citations

9.

Bahk, Jong Yoon, et al.. (1998). Expression of gonadotropin-releasing hormone (GnRH) and GnRH receptor mRNA in prostate cancer cells and effect of GnRH on the proliferation of prostate cancer cells. Urological Research. 26(4). 259–264. 51 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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