Mi‐Jeong Kim

6.1k citations
88 papers · 4.6k indexed · 2 hit papers · h-index 28
Topics
Chemical Synthesis and Analysis (9 papers)Alzheimer's disease research and treatments (9 papers)Endoplasmic Reticulum Stress and Disease (8 papers)

In The Last Decade

Mi‐Jeong Kim

84 papers receiving 4.5k citations

Hit Papers

Growth Differentiation Factor 11 Is a Circulating Factor ...200920262014202020132009200400600

Peers

Mi‐Jeong Kim
Comparison fields: 5 of 136
  • Molecular Biology 1.7k
  • Epidemiology 1.0k
  • Infectious Diseases 887
  • Immunology 674
  • Surgery 593
Replace Johan W. Jonker with:
Johan W. Jonker Netherlands
Mohammad Hashemi Iran
Ioannis P. Trougakos Greece
Steven A. Weinman United States
Joseph Wu United States
Ling Li China
Francisco Rafael Martins Laurindo Brazil
Tom C. Karagiannis Australia
Hui Gong China
María‐Jesús Sanz Spain
Mi‐Jeong Kim relative to Johan W. Jonker Netherlands Johan W. Jonker's profile →
Citations per field
00.5×1.5×2.0×
Johan W. Jonker · 1×
Citations per year

Countries citing papers authored by Mi‐Jeong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Mi‐Jeong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi‐Jeong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Mi‐Jeong Kim. A scholar is included among the top collaborators of Mi‐Jeong 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 Mi‐Jeong Kim. Mi‐Jeong 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
#WorkIndexed citations
1 4
2 2
3 0
4 6
5 5
6 6
7 76
8 27
9 13
10 31
11 200
12 261
13 132
14 37
15 6
16 249
17
Is it possible to Predict the Progression Rate in Korean IgA Nephropathy Patient
1
18 16
19
Clinical Significance of Cystoscopy in the Evaluation of Isolated Asymptomatic Microscopic Hematuria
0
20
Differentially Expressed Antigens of Orientia tsutsugamushi Revealed by Monoclonal Antibodies
1

About Mi‐Jeong Kim

Mi‐Jeong Kim is a scholar working on Aging, Applied Microbiology and Biotechnology and Nephrology, having authored 88 papers that have together received 4.6k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (9 papers), Alzheimer's disease research and treatments (9 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). The work is most often cited by research in Aging (121 citations), Infectious Diseases (887 citations) and Immunology (674 citations). Mi‐Jeong Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include David G. Russell, Père-Joan Cardona, Sophie Allain‐Maillet, Frédéric Altare, Yoo‐Hyun Lee, Ho‐Geun Yoon, Woo Jin Jun, Thomas Serwold, Jong‐Min Song and Jae‐Kwan Song. Their work appears in journals such as Cell, Angewandte Chemie International Edition and Circulation.

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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