Won Sool Kim

747 total citations
9 papers, 566 citations indexed

About

Won Sool Kim is a scholar working on Epidemiology, Nephrology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Won Sool Kim has authored 9 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Nephrology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Won Sool Kim's work include Liver Disease Diagnosis and Treatment (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). Won Sool Kim is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). Won Sool Kim collaborates with scholars based in South Korea, China and Ethiopia. Won Sool Kim's co-authors include Seungho Ryu, Yoosoo Chang, Byung-Seong Suh, Dong‐Il Kim, Hee‐Yeon Woo, Eunju Sung, Dong‐Il Kim, Ki‐Chul Sung, Soo‐Jin Lee and Jaechul Song and has published in prestigious journals such as Journal of the American Society of Nephrology, Clinical Chemistry and American Journal of Kidney Diseases.

In The Last Decade

Won Sool Kim

9 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Won Sool Kim South Korea	8	345	214	170	136	93	9	566
Byung-Seong Suh South Korea	12	415 1.2×	250 1.2×	171 1.0×	141 1.0×	89 1.0×	23	765
Raquel Conceição Brazil	14	395 1.1×	235 1.1×	58 0.3×	112 0.8×	97 1.0×	34	689
Olga Gumieniak United States	8	167 0.5×	300 1.4×	369 2.2×	244 1.8×	13 0.1×	9	731
L. Kane United States	7	143 0.4×	90 0.4×	21 0.1×	271 2.0×	84 0.9×	9	443
Akihiro Isogawa Japan	14	344 1.0×	439 2.1×	14 0.1×	68 0.5×	37 0.4×	25	804
Liufu Cui China	13	119 0.3×	54 0.3×	227 1.3×	109 0.8×	8 0.1×	36	594
Yuji Miyoshi Japan	13	97 0.3×	105 0.5×	14 0.1×	95 0.7×	23 0.2×	37	447
Paolo Saronio Italy	8	53 0.2×	24 0.1×	235 1.4×	111 0.8×	21 0.2×	12	426
Sun Min Oh South Korea	14	74 0.2×	64 0.3×	68 0.4×	88 0.6×	6 0.1×	20	452
Yoon Jeong Cho South Korea	11	113 0.3×	91 0.4×	20 0.1×	22 0.2×	27 0.3×	44	380

Countries citing papers authored by Won Sool Kim

Since Specialization

Citations

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

Fields of papers citing papers by Won Sool Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won Sool Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Won Sool Kim. A scholar is included among the top collaborators of Won Sool 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 Won Sool Kim. Won Sool Kim 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:

9 of 9 papers shown

1.

Kim, Won Sool, et al.. (2014). Character profiles and life satisfaction. Comprehensive Psychiatry. 58. 172–177. 14 indexed citations

2.

Ryu, Seungho, Yoosoo Chang, Hee‐Yeon Woo, et al.. (2008). Changes in Body Weight Predict CKD in Healthy Men. Journal of the American Society of Nephrology. 19(9). 1798–1805. 61 indexed citations

3.

Ryu, Seungho, Yoosoo Chang, Hee‐Yeon Woo, et al.. (2008). Time-Dependent Association Between Metabolic Syndrome and Risk of CKD in Korean Men Without Hypertension or Diabetes. American Journal of Kidney Diseases. 53(1). 59–69. 70 indexed citations

4.

Chang, Yoosoo, et al.. (2008). Nonalcoholic fatty liver disease predicts chronic kidney disease in nonhypertensive and nondiabetic Korean men. Metabolism. 57(4). 569–576. 119 indexed citations

5.

Kim, Dong‐Il, et al.. (2008). Job Stress and Psychosocial Stress among Firefighters. Korean Journal of Occupational and Environmental Medicine. 20(2). 104–104. 33 indexed citations

6.

Ryu, Seungho, Jaechul Song, Bo Youl Choi, et al.. (2007). Incidence and Risk Factors for Metabolic Syndrome in Korean Male Workers, Ages 30 to 39. Annals of Epidemiology. 17(4). 245–252. 75 indexed citations

7.

Kim, Won Sool, et al.. (2007). Apolipopretein A-I and B Distribution among the Employees and their Partners in Korea. Journal of Preventive Medicine and Public Health. 40(1). 71–71. 2 indexed citations

8.

Chang, Yoosoo, et al.. (2006). The sequential changes in the fasting plasma glucose levels within normoglycemic range predict type 2 diabetes in healthy, young men. Diabetes Research and Clinical Practice. 73(3). 329–335. 9 indexed citations

9.

Ryu, Seungho, Yoosoo Chang, Dong‐Il Kim, Won Sool Kim, & Byung-Seong Suh. (2006). γ-Glutamyltransferase as a Predictor of Chronic Kidney Disease in Nonhypertensive and Nondiabetic Korean Men. Clinical Chemistry. 53(1). 71–77. 183 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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