Ken D. Sumida

551 total citations
35 papers, 419 citations indexed

About

Ken D. Sumida is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Ken D. Sumida has authored 35 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 16 papers in Cell Biology and 7 papers in Molecular Biology. Recurrent topics in Ken D. Sumida's work include Muscle metabolism and nutrition (16 papers), Adipose Tissue and Metabolism (11 papers) and Liver Disease Diagnosis and Treatment (5 papers). Ken D. Sumida is often cited by papers focused on Muscle metabolism and nutrition (16 papers), Adipose Tissue and Metabolism (11 papers) and Liver Disease Diagnosis and Treatment (5 papers). Ken D. Sumida collaborates with scholars based in United States, New Zealand and Japan. Ken D. Sumida's co-authors include C. M. Donovan, Hisao Ohtake, Junichi Kato, J. M. Hill, Grant S. Shields, Sarah D. Pressman, George M. Slavich, Aleksey V. Matveyenko, S. Victoria Jaque and Marcia B. Greenberg and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Ken D. Sumida

32 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken D. Sumida United States 10 138 126 76 56 44 35 419
Sally E. Blank United States 14 68 0.5× 65 0.5× 119 1.6× 43 0.8× 97 2.2× 33 677
A. Bonen Canada 11 162 1.2× 133 1.1× 112 1.5× 89 1.6× 53 1.2× 26 499
Recep Özmerdivenli Türkiye 11 80 0.6× 61 0.5× 38 0.5× 44 0.8× 38 0.9× 38 405
Humberto Nicastro Brazil 14 226 1.6× 225 1.8× 145 1.9× 63 1.1× 33 0.8× 30 507
B. C. Bruot United States 12 114 0.8× 149 1.2× 50 0.7× 147 2.6× 18 0.4× 28 547
Marques A. Wilson United States 16 213 1.5× 163 1.3× 61 0.8× 44 0.8× 20 0.5× 33 441
Marina Yázigi Solis Brazil 19 513 3.7× 379 3.0× 91 1.2× 170 3.0× 51 1.2× 28 851
Maria José Costa Sampaio Moura Brazil 12 73 0.5× 60 0.5× 45 0.6× 23 0.4× 41 0.9× 15 394
I Huhtaniemi Finland 15 90 0.7× 113 0.9× 135 1.8× 172 3.1× 40 0.9× 42 1.0k
Thomas Incledon United States 7 160 1.2× 296 2.3× 57 0.8× 212 3.8× 91 2.1× 14 489

Countries citing papers authored by Ken D. Sumida

Since Specialization
Citations

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

Fields of papers citing papers by Ken D. Sumida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken D. Sumida. 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 Ken D. Sumida. The network helps show where Ken D. Sumida may publish in the future.

Co-authorship network of co-authors of Ken D. Sumida

This figure shows the co-authorship network connecting the top 25 collaborators of Ken D. Sumida. A scholar is included among the top collaborators of Ken D. Sumida 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 Ken D. Sumida. Ken D. Sumida 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
1.
Sumida, Ken D., et al.. (2025). Impact of Resistance Training on Bone During 40% Caloric Restriction in Growing Female Rats. Calcified Tissue International. 116(1). 38–38.
2.
Sumida, Ken D., et al.. (2024). Enhanced glucose production in norepinephrine and palmitate stimulated hepatocytes following endurance training. Frontiers in Physiology. 15. 1514082–1514082.
3.
Acoba, Jared D., Ken D. Sumida, & Jeffrey L. Berenberg. (2022). Overcoming racial disparities in cancer clinical trial enrollment of Asians and Native Hawaiians. Contemporary Clinical Trials Communications. 28. 100933–100933. 3 indexed citations
4.
Abbott, Marcia J., et al.. (2018). Resistance Training Threshold for Elevating Bone Mineral Density in Growing Female Rats. International Journal of Sports Medicine. 39(5). 382–389. 5 indexed citations
5.
Singh, Harpreet, et al.. (2013). High Volumes of Resistance Exercise Are Not Required for Greater Bone Mineral Density during Growth. Medicine & Science in Sports & Exercise. 45(1). 36–42. 5 indexed citations
6.
Pierce, Richard A., et al.. (2010). Different Training Volumes Yield Equivalent Increases in BMD. International Journal of Sports Medicine. 31(11). 803–809. 6 indexed citations
7.
Kayser, Brandon D., James Godfrey, Rochelle Cunningham, et al.. (2009). Equal BMD After Daily or Triweekly Exercise in Growing Rats. International Journal of Sports Medicine. 31(1). 44–50. 5 indexed citations
8.
Sumida, Ken D., et al.. (2007). Alcohol-induced suppression of gluconeogenesis is greater in ethanol fed female rat hepatocytes than males. Alcohol. 41(2). 67–75. 9 indexed citations
9.
Sumida, Ken D., J. M. Hill, & Aleksey V. Matveyenko. (2007). Sex Differences in Hepatic Gluconeogenic Capacity After Chronic Alcohol Consumption. Clinical Medicine & Research. 5(3). 193–202. 15 indexed citations
10.
Sumida, Ken D., et al.. (2005). Impact of flow rate on lactate uptake and gluconeogenesis in glucagon-stimulated perfused livers. American Journal of Physiology-Endocrinology and Metabolism. 290(1). E185–E191. 9 indexed citations
11.
Sumida, Ken D., et al.. (2005). Opposing Effects of Chronic Alcohol Consumption on Hepatic Gluconeogenesis for Female Versus Male Rats. Alcoholism Clinical and Experimental Research. 29(10). 1899–1905. 5 indexed citations
12.
Sumida, Ken D., et al.. (2005). Lactate delivery (not oxygen) limits hepatic gluconeogenesis when blood flow is reduced. American Journal of Physiology-Endocrinology and Metabolism. 290(1). E192–E198. 7 indexed citations
13.
Sumida, Ken D., et al.. (2004). Effect of Endurance Training and Fasting on Renal Gluconeogenic Enzymes in the Rat. International Journal of Sport Nutrition and Exercise Metabolism. 14(3). 323–332. 3 indexed citations
14.
Sumida, Ken D., et al.. (2004). CHRONIC ALCOHOL CONSUMPTION YIELDS SEX DIFFERENCES IN WHOLE-BODY GLUCOSE PRODUCTION IN RATS. Alcohol and Alcoholism. 39(5). 418–426. 10 indexed citations
15.
Sumida, Ken D., Marcia B. Greenberg, & J. M. Hill. (2003). Hot Gel Packs and Reduction of Delayed-Onset Muscle Soreness 30 Minutes after Treatment. Journal of Sport Rehabilitation. 12(3). 221–228. 5 indexed citations
16.
Sumida, Ken D., et al.. (2002). Hepatic gluconeogenic capacity from various precursors in young versus old rats. Metabolism. 51(7). 876–880. 20 indexed citations
17.
Sumida, Ken D., et al.. (1999). Temporal effects of testosterone propionate injections on serum lipoprotein concentrations in rats. Medicine & Science in Sports & Exercise. 31(5). 664–669. 11 indexed citations
19.
Donovan, C. M. & Ken D. Sumida. (1997). Training enhanced hepatic gluconeogenesis: the importance for glucose homeostasis during exercise. Medicine & Science in Sports & Exercise. 29(5). 628–634. 23 indexed citations
20.
Sumida, Ken D., et al.. (1993). 795 HEPATIC LDH ACTIVITY AND ISOENZYME PATTERNS FOLLOWING ENDURANCE TRAINING. Medicine & Science in Sports & Exercise. 25(Supplement). S142–S142. 1 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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