Dae Jin Kim

758 citations
40 papers · 513 indexed · h-index 12
Topics
Diverticular Disease and Complications (3 papers)Pancreatic function and diabetes (3 papers)Sleep and Wakefulness Research (3 papers)

In The Last Decade

Dae Jin Kim

31 papers receiving 503 citations

Peers

Dae Jin Kim
Comparison fields: 5 of 103
  • Radiology, Nuclear Medicine and Imaging 107
  • Cognitive Neuroscience 91
  • Molecular Biology 80
  • Epidemiology 64
  • Endocrinology, Diabetes and Metabolism 62
Replace M.J. Gómez de Tejada Romero with:
M.J. Gómez de Tejada Romero Spain
Young Min Park South Korea
Berndt Zur Germany
Zhiqiang Yang China
Massimo Fioranelli Italy
Crystal L. Harris United States
Stephen Crawford United States
Huijuan Liu China
Iveta Nováková Czechia
D. Higueret France
Dae Jin Kim relative to M.J. Gómez de Tejada Romero Spain M.J. Gómez de Tejada Romero's profile →
Citations per field
00.5×3.4×
M.J. Gómez de Tejada Romero · 1×
Citations per year

Countries citing papers authored by Dae Jin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae Jin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Jin Kim. A scholar is included among the top collaborators of Dae Jin 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 Dae Jin Kim. Dae Jin 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 0
2 4
3 0
4 1
5 19
6 2
7 33
8 34
9 6
10 41
11 24
12
Driving Status, Habits and Safety of Older Drivers
4
13 83
14 45
15
An Association Study of the Brain-Derived Neurotrophic Factor Val66Met Gene Polymorphism and Schizophrenia
1
16 58
17 77
18 14
19 0
20
Two Cases of Uveal Metastasis of Lung Cancer with Systemic Metastasis.
2

About Dae Jin Kim

Dae Jin Kim is a scholar working on Microbiology, Cognitive Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 513 indexed citations. Recurring topics across this work include Diverticular Disease and Complications (3 papers), Pancreatic function and diabetes (3 papers) and Sleep and Wakefulness Research (3 papers). The work is most often cited by research in Drug Discovery (1 citation), Cognitive Neuroscience (91 citations) and Radiology, Nuclear Medicine and Imaging (107 citations). Dae Jin Kim has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Won–Ho Kim, E Song, Won‐Jin Moon, Hae‐Jeong Park, Yong‐Wook Shin, Sun I. Kim, Jihyun Song, Tae Hyon Ha, Eun Chul Chung and Jun Soo Kwon. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and NeuroImage.

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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