Da Sol Kim

2.0k citations
55 papers · 1.7k · h-index 26

Impact in

Papers in

Da Sol Kim

55 papers receiving 1.6k citations

Peers

Da Sol Kim
Comparison fields: 5 of 127
  • Biological Psychiatry 72
  • Endocrine and Autonomic Systems 131
  • Physiology 381
  • Endocrinology, Diabetes and Metabolism 242
  • Neurology 119
Replace Raquel Abalo with:
Raquel Abalo Spain
Jian Zhong China
Kun-Young Park South Korea
Man Lung Fung Hong Kong
Antonella Amato Italy
Domenico Sergi Italy
Wiramon Rungratanawanich United States
Shufang Xia China
Kai‐Chun Cheng Japan
Thiago Duarte Brazil
Da Sol Kim relative to Raquel Abalo Spain Raquel Abalo's profile →
Citations per field
00.5×2.7×
Raquel Abalo · 1×
Citations per year

Countries citing papers authored by Da Sol Kim

Since Specialization
Citations

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

Fields of papers citing papers by Da Sol Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Da Sol Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Da Sol Kim Line = papers co-authored together Da Sol Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021102
2 201098
3 201578
4 201577
5 201171
6 201869
7 201169
8 201854
9 201850
10 201544
11 201443
12 200942
13 201040
14 201137
15 201337
16 201535
17 201134
18 201732
19 201530
20 201729

About Da Sol Kim

Da Sol Kim is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Endocrine and Autonomic Systems and Pathology and Forensic Medicine, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (6 papers), Adipose Tissue and Metabolism (5 papers), Alzheimer's disease research and treatments (5 papers), Phytoestrogen effects and research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Diet and metabolism studies (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Menopause: Health Impacts and Treatments (3 papers). The work is most often cited by research in Biological Psychiatry (72 citations), Endocrine and Autonomic Systems (131 citations), Physiology (381 citations), Endocrinology, Diabetes and Metabolism (242 citations) and Neurology (119 citations). Da Sol Kim has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Sunmin Park, Suna Kang, James W. Daily, Dae Young Kwon, Hye Jeong Yang, Na Rang Moon, Ji Man Hong, Hyun‐Jin Kim, Xin Zhang and Jin Ah Ryuk. Their work appears in journals such as Experimental Biology and Medicine, European Journal of Nutrition, Nutrients, Journal of Ethnopharmacology and Life Sciences.

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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