Do‐Houn Kim

941 total citations · 1 hit paper
9 papers, 667 citations indexed

About

Do‐Houn Kim is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Do‐Houn Kim has authored 9 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Do‐Houn Kim's work include Muscle metabolism and nutrition (4 papers), Nutrition and Health in Aging (4 papers) and Muscle Physiology and Disorders (2 papers). Do‐Houn Kim is often cited by papers focused on Muscle metabolism and nutrition (4 papers), Nutrition and Health in Aging (4 papers) and Muscle Physiology and Disorders (2 papers). Do‐Houn Kim collaborates with scholars based in United States, South Africa and South Korea. Do‐Houn Kim's co-authors include Cesar Meza, Robert C. Hickner, Justin D. La Favor, Jeong‐Su Kim, Holly Clarke, Junghoon Lee, Michael J. Ormsbee, Andy V. Khamoui, Marcus L. Elam and Gloria Salazar and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Nutrients.

In The Last Decade

Do‐Houn Kim

9 papers receiving 658 citations

Hit Papers

Vitamin D and Endothelial Function 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Do‐Houn Kim United States 6 225 152 150 117 97 9 667
Cesar Meza United States 5 112 0.5× 146 1.0× 99 0.7× 96 0.8× 82 0.8× 11 508
Hüsamettin Erdamar Türkiye 16 130 0.6× 122 0.8× 131 0.9× 143 1.2× 81 0.8× 44 762
Brad P. Dieter United States 14 148 0.7× 98 0.6× 159 1.1× 173 1.5× 81 0.8× 24 801
Diana Jędrzejuk Poland 18 224 1.0× 173 1.1× 143 1.0× 246 2.1× 108 1.1× 79 955
Fumiko Watanabe Japan 15 221 1.0× 51 0.3× 135 0.9× 76 0.6× 107 1.1× 41 1.1k
Sadi S. Özdem Türkiye 15 153 0.7× 54 0.4× 104 0.7× 65 0.6× 133 1.4× 47 593
K. I. Birkeland Norway 9 190 0.8× 142 0.9× 102 0.7× 375 3.2× 89 0.9× 19 823
Ahmed Ismaeel United States 13 184 0.8× 74 0.5× 251 1.7× 41 0.4× 68 0.7× 52 669
Lourdes Garrido‐Sánchez Spain 15 250 1.1× 115 0.8× 219 1.5× 127 1.1× 81 0.8× 32 685
Shanti Velmurugan United Kingdom 8 300 1.3× 59 0.4× 91 0.6× 42 0.4× 239 2.5× 12 711

Countries citing papers authored by Do‐Houn Kim

Since Specialization
Citations

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

Fields of papers citing papers by Do‐Houn Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Do‐Houn Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Do‐Houn Kim. A scholar is included among the top collaborators of Do‐Houn 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 Do‐Houn Kim. Do‐Houn 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.
Clarke, Holly, Do‐Houn Kim, Cesar Meza, Michael J. Ormsbee, & Robert C. Hickner. (2020). The Evolving Applications of Creatine Supplementation: Could Creatine Improve Vascular Health?. Nutrients. 12(9). 2834–2834. 30 indexed citations
2.
Kim, Do‐Houn, Alex Klemp, Gloria Salazar, et al.. (2020). High-dose vitamin D administration and resistance exercise training attenuate the progression of obesity and improve skeletal muscle function in obese p62-deficient mice. Nutrition Research. 84. 14–24. 5 indexed citations
3.
Kim, Do‐Houn, Cesar Meza, Holly Clarke, Jeong‐Su Kim, & Robert C. Hickner. (2020). Vitamin D and Endothelial Function. Nutrients. 12(2). 575–575. 229 indexed citations breakdown →
4.
Clarke, Holly, Do‐Houn Kim, Cesar Meza, & Robert C. Hickner. (2020). Pilot Study: The Effect of Acute 5-Day Creatine Supplementation on Macrovascular Endothelial Function in Older Adults. Current Developments in Nutrition. 4. nzaa040_015–nzaa040_015. 2 indexed citations
5.
Meza, Cesar, Justin D. La Favor, Do‐Houn Kim, & Robert C. Hickner. (2019). Endothelial Dysfunction: Is There a Hyperglycemia-Induced Imbalance of NOX and NOS?. International Journal of Molecular Sciences. 20(15). 3775–3775. 232 indexed citations
6.
Lee, Junghoon, et al.. (2017). Resistance Training for Glycemic Control, Muscular Strength, and Lean Body Mass in Old Type 2 Diabetic Patients: A Meta-Analysis. Diabetes Therapy. 8(3). 459–473. 83 indexed citations
7.
Elam, Marcus L., Ann Brown, Andy V. Khamoui, et al.. (2017). Resistance training during a 12-week protein supplemented VLCD treatment enhances weight-loss outcomes in obese patients. Clinical Nutrition. 38(1). 372–382. 19 indexed citations
8.
Khamoui, Andy V., Do‐Houn Kim, Bong‐Sup Park, et al.. (2017). Bone mineral density and content are differentially impacted by aerobic and resistance training in the colon-26 mouse model of cancer cachexia. SHILAP Revista de lepidopterología. 37(1). 1 indexed citations
9.
Khamoui, Andy V., Bong‐Sup Park, Do‐Houn Kim, et al.. (2016). Aerobic and resistance training dependent skeletal muscle plasticity in the colon-26 murine model of cancer cachexia. Metabolism. 65(5). 685–698. 66 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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