Il-Young Kim

641 total citations
9 papers, 487 citations indexed

About

Il-Young Kim is a scholar working on Physiology, Cell Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Il-Young Kim has authored 9 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Cell Biology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Il-Young Kim's work include Muscle metabolism and nutrition (3 papers), Obesity, Physical Activity, Diet (2 papers) and Adipose Tissue and Metabolism (2 papers). Il-Young Kim is often cited by papers focused on Muscle metabolism and nutrition (3 papers), Obesity, Physical Activity, Diet (2 papers) and Adipose Tissue and Metabolism (2 papers). Il-Young Kim collaborates with scholars based in South Korea, United States and Netherlands. Il-Young Kim's co-authors include Robert R. Wolfe, Young-Ze Lee, Seunghyun Baik, Sang‐Hoon Suh, Young‐Jig Kim, In‐Kyu Lee, Justin R. Trombold, Edward F. Coyle, Kevin M. Christmas and Sanghee Park and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Il-Young Kim

9 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Il-Young Kim South Korea 8 215 129 83 68 68 9 487
Ayako Hashimoto Japan 7 83 0.4× 52 0.4× 112 1.3× 218 3.2× 18 0.3× 14 830
Xingbang Wang China 12 103 0.5× 54 0.4× 7 0.1× 23 0.3× 23 0.3× 32 579
Camille Gauthier France 8 90 0.4× 50 0.4× 6 0.1× 74 1.1× 3 0.0× 15 462
Hidehiro Nakamura Japan 16 111 0.5× 20 0.2× 31 0.4× 4 0.1× 9 0.1× 55 727
S. Mac‐Mary France 14 101 0.5× 13 0.1× 102 1.2× 15 0.2× 26 729
Shinsuke Inoue Japan 11 14 0.1× 30 0.2× 27 0.3× 5 0.1× 43 0.6× 30 458
Il-Hyun Kim South Korea 15 29 0.1× 172 1.3× 9 0.1× 94 1.4× 64 0.9× 50 908
M. Mizuno Japan 11 23 0.1× 220 1.7× 31 0.4× 190 2.8× 4 0.1× 46 458
Mariko Yamada Japan 15 19 0.1× 75 0.6× 8 0.1× 14 0.2× 5 0.1× 43 500
Qiang Tang China 10 28 0.1× 23 0.2× 4 0.0× 20 0.3× 23 0.3× 31 347

Countries citing papers authored by Il-Young Kim

Since Specialization
Citations

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

Fields of papers citing papers by Il-Young Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Il-Young 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 Il-Young Kim. The network helps show where Il-Young Kim may publish in the future.

Co-authorship network of co-authors of Il-Young Kim

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

All Works

9 of 9 papers shown
1.
Kim, Jin-Ah, Il-Young Kim, Jung‐Whan Chon, et al.. (2019). Prevalence, Antibiotic-Resistance, and Virulence Characteristics of Vibrio parahaemolyticus in Restaurant Fish Tanks in Seoul, South Korea. Foodborne Pathogens and Disease. 17(3). 209–214. 20 indexed citations
3.
Chopra, Swati, Aman Rathore, Haris Younas, et al.. (2017). Obstructive Sleep Apnea Dynamically Increases Nocturnal Plasma Free Fatty Acids, Glucose, and Cortisol During Sleep. The Journal of Clinical Endocrinology & Metabolism. 102(9). 3172–3181. 89 indexed citations
4.
Kim, Il-Young, Sang‐Hoon Suh, In‐Kyu Lee, & Robert R. Wolfe. (2016). Applications of stable, nonradioactive isotope tracers in in vivo human metabolic research. Experimental & Molecular Medicine. 48(1). e203–e203. 97 indexed citations
5.
Kim, Il-Young, Sanghee Park, Justin R. Trombold, & Edward F. Coyle. (2014). Effects of Moderate- and Intermittent Low-Intensity Exercise on Postprandial Lipemia. Medicine & Science in Sports & Exercise. 46(10). 1882–1890. 41 indexed citations
6.
Trombold, Justin R., Kevin M. Christmas, Daniel R. Machin, Il-Young Kim, & Edward F. Coyle. (2013). Acute high-intensity endurance exercise is more effective than moderate-intensity exercise for attenuation of postprandial triglyceride elevation. Journal of Applied Physiology. 114(6). 792–800. 65 indexed citations
7.
Kim, Il-Young, et al.. (2009). Friction and wear characteristics of the carbon nanotube–aluminum composites with different manufacturing conditions. Wear. 267(1-4). 593–598. 142 indexed citations
8.
Nam, Woo Dong, et al.. (2008). Targon® Proximal Femoral Nail Used for Treatment of Intertrochanteric Femoral Fractures. Hip & Pelvis. 20(1). 7–14. 1 indexed citations
9.
Kim, Il-Young, Ui‐Won Jung, Chang‐Sung Kim, et al.. (2007). Effects of a tetracycline blended polylactic and polyglycolic acid membrane on the healing of one-wall intrabony defects in beagle dogs. Biomedical Materials. 2(3). S106–S110. 11 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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