Min Ki Jee

654 total citations
10 papers, 491 citations indexed

About

Min Ki Jee is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Min Ki Jee has authored 10 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Min Ki Jee's work include Pluripotent Stem Cells Research (4 papers), Mesenchymal stem cell research (3 papers) and Circular RNAs in diseases (2 papers). Min Ki Jee is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Mesenchymal stem cell research (3 papers) and Circular RNAs in diseases (2 papers). Min Ki Jee collaborates with scholars based in South Korea and Ethiopia. Min Ki Jee's co-authors include Young Bin Im, Soo Kyung Kang, Kyung‐Sun Kang, Sung Jun Jung, Yoojin Seo, Seongjoon Kang, Tae Hee Han, Dong‐Wook Kim, Hyung-Sik Kim and Seung‐Hee Lee and has published in prestigious journals such as PLoS ONE, Biomaterials and Brain.

In The Last Decade

Min Ki Jee

10 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min Ki Jee South Korea	10	274	150	94	90	89	10	491
Wen Yin China	14	220 0.8×	61 0.4×	61 0.6×	67 0.7×	126 1.4×	33	548
Yilu Gao China	14	275 1.0×	87 0.6×	52 0.6×	36 0.4×	89 1.0×	34	504
Brandon Liebelt United States	13	179 0.7×	101 0.7×	144 1.5×	40 0.4×	61 0.7×	27	699
Yonghui Hou China	14	257 0.9×	121 0.8×	110 1.2×	35 0.4×	52 0.6×	22	519
Francisco Javier Rodríguez-Jiménez Spain	14	268 1.0×	114 0.8×	143 1.5×	38 0.4×	182 2.0×	20	605
Zhongjie Yan China	16	346 1.3×	185 1.2×	211 2.2×	26 0.3×	94 1.1×	36	659
Hongfu Wu China	14	236 0.9×	103 0.7×	36 0.4×	24 0.3×	93 1.0×	27	555
Nanxiang Wang China	10	194 0.7×	78 0.5×	101 1.1×	24 0.3×	71 0.8×	20	399
Miho Otani Japan	6	268 1.0×	120 0.8×	146 1.6×	76 0.8×	37 0.4×	10	462
Silvia Bonanno Italy	19	314 1.1×	78 0.5×	251 2.7×	66 0.7×	73 0.8×	40	807

Countries citing papers authored by Min Ki Jee

Since Specialization

Citations

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

Fields of papers citing papers by Min Ki Jee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Ki Jee. 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 Min Ki Jee. The network helps show where Min Ki Jee may publish in the future.

Co-authorship network of co-authors of Min Ki Jee

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Yu, Kyung–Rok, Jin Young Lee, Soon Won Choi, et al.. (2015). Rapid and Efficient Direct Conversion of Human Adult Somatic Cells into Neural Stem Cells by HMGA2/let-7b. Cell Reports. 10(3). 441–452. 99 indexed citations

2.

Jee, Min Ki, et al.. (2013). Compensation of cATSCs-derived TGFβ1 and IL10 expressions was effectively modulated atopic dermatitis. Cell Death and Disease. 4(2). e497–e497. 20 indexed citations

3.

Jee, Min Ki, et al.. (2013). Core-shell nanoparticle controlled hATSCs neurogenesis for neuropathic pain therapy. Biomaterials. 34(21). 4956–4970. 26 indexed citations

4.

Jee, Min Ki, et al.. (2012). MBD6 is a direct target of Oct4 and controls the stemness and differentiation of adipose tissue-derived stem cells. Cellular and Molecular Life Sciences. 70(4). 711–728. 19 indexed citations

5.

Im, Young Bin, et al.. (2012). Molecular targeting of NOX4 for neuropathic pain after traumatic injury of the spinal cord. Cell Death and Disease. 3(11). e426–e426. 67 indexed citations

6.

Jee, Min Ki, et al.. (2012). MicroRNA 486 is a potentially novel target for the treatment of spinal cord injury. Brain. 135(4). 1237–1252. 86 indexed citations

7.

Jee, Min Ki, et al.. (2011). Silencing of miR20a Is Crucial for Ngn1-Mediated Neuroprotection in Injured Spinal Cord. Human Gene Therapy. 23(5). 508–520. 58 indexed citations

8.

Seo, Yoojin, Se‐Ran Yang, Min Ki Jee, et al.. (2011). Human Umbilical Cord Blood-Derived Mesenchymal Stem Cells Protect against Neuronal Cell Death and Ameliorate Motor Deficits in Niemann Pick Type C1 Mice. Cell Transplantation. 20(7). 1033–1047. 58 indexed citations

9.

Jee, Min Ki, Ji‐hoon Kim, Sung Jun Jung, et al.. (2010). DHP-Derivative and Low Oxygen Tension Effectively Induces Human Adipose Stromal Cell Reprogramming. PLoS ONE. 5(2). e9026–e9026. 15 indexed citations

10.

Kim, Jung Hwan, Min Ki Jee, So Young Lee, et al.. (2009). Regulation of Adipose Tissue Stromal Cells Behaviors by Endogenic Oct4 Expression Control. PLoS ONE. 4(9). e7166–e7166. 43 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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