Kaoru Sugama

689 total citations
20 papers, 554 citations indexed

About

Kaoru Sugama is a scholar working on Rehabilitation, Physiology and Cell Biology. According to data from OpenAlex, Kaoru Sugama has authored 20 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Rehabilitation, 7 papers in Physiology and 6 papers in Cell Biology. Recurrent topics in Kaoru Sugama's work include Exercise and Physiological Responses (13 papers), Muscle metabolism and nutrition (6 papers) and Thermoregulation and physiological responses (4 papers). Kaoru Sugama is often cited by papers focused on Exercise and Physiological Responses (13 papers), Muscle metabolism and nutrition (6 papers) and Thermoregulation and physiological responses (4 papers). Kaoru Sugama collaborates with scholars based in Japan and Germany. Kaoru Sugama's co-authors include Katsuhiko Suzuki, Kazue Kanda, Takashi Kometani, Yasuo Kawakami, Harumi Hayashida, Jun Sakuma, Yuichi Mori, Hiroshi Yoshioka, Shigeki Miura and Mayura Shimura and has published in prestigious journals such as Gene Therapy, Antioxidants and Chemical and Pharmaceutical Bulletin.

In The Last Decade

Kaoru Sugama

19 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaoru Sugama Japan 13 299 152 110 94 79 20 554
Tobias Ibfelt Denmark 10 330 1.1× 198 1.3× 126 1.1× 66 0.7× 89 1.1× 14 606
Kazue Kanda Japan 9 223 0.7× 88 0.6× 89 0.8× 121 1.3× 49 0.6× 13 378
Harumi Hayashida Japan 9 229 0.8× 112 0.7× 74 0.7× 79 0.8× 23 0.3× 15 363
Victor Brown United States 6 191 0.6× 102 0.7× 85 0.8× 41 0.4× 34 0.4× 9 374
Sophie Vincent France 14 139 0.5× 144 0.9× 119 1.1× 49 0.5× 61 0.8× 29 486
Flávia Troncon Rosa Brazil 12 102 0.3× 180 1.2× 208 1.9× 52 0.6× 99 1.3× 21 509
Cristina P. Monteiro Portugal 16 92 0.3× 254 1.7× 125 1.1× 202 2.1× 63 0.8× 49 613
Edith M. Peters South Africa 10 433 1.4× 219 1.4× 251 2.3× 136 1.4× 32 0.4× 17 635
Olga Lourenço Portugal 10 143 0.5× 249 1.6× 44 0.4× 22 0.2× 105 1.3× 31 638
Joan Riera Spain 15 147 0.5× 117 0.8× 70 0.6× 55 0.6× 85 1.1× 24 595

Countries citing papers authored by Kaoru Sugama

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Sugama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaoru Sugama. 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 Kaoru Sugama. The network helps show where Kaoru Sugama may publish in the future.

Co-authorship network of co-authors of Kaoru Sugama

This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Sugama. A scholar is included among the top collaborators of Kaoru Sugama 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 Kaoru Sugama. Kaoru Sugama 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.
Lee, Minjung, Tatsuya Kato, Kazue Kanda, et al.. (2021). An acute eccentric exercise increases circulating myomesin 3 fragments. The Journal of Physiological Sciences. 71(1). 4–4. 4 indexed citations
2.
Tominaga, Takaki, Sihui Ma, Kaoru Sugama, et al.. (2021). Changes in Urinary Biomarkers of Organ Damage, Inflammation, Oxidative Stress, and Bone Turnover Following a 3000-m Time Trial. Antioxidants. 10(1). 79–79. 15 indexed citations
3.
Tominaga, Takaki, Kazue Kanda, Kaoru Sugama, et al.. (2021). The Effects of Beverage Intake after Exhaustive Exercise on Organ Damage, Inflammation and Oxidative Stress in Healthy Males. Antioxidants. 10(6). 866–866. 8 indexed citations
4.
5.
Yanai, Mitsuru, Hiroki Kobayashi, Motohiko Hara, et al.. (2017). High-molecular-weight adiponectin levels in healthy, community-dwelling, elderly Japanese volunteers: a 5-year prospective observational study. Aging Clinical and Experimental Research. 30(7). 791–798. 8 indexed citations
6.
Hayashida, Harumi, Mayura Shimura, Kaoru Sugama, Kazue Kanda, & Katsuhiko Suzuki. (2016). Exercise-Induced Inflammation during Different Phases of the Menstrual Cycle. 1(4). 15 indexed citations
7.
Sugama, Kaoru, Katsuhiko Suzuki, Shigeki Miura, et al.. (2015). Changes of thioredoxin, oxidative stress markers, inflammation and muscle/renal damage following intensive endurance exercise.. PubMed. 21. 130–42. 45 indexed citations
8.
Kanda, Kazue, Kaoru Sugama, Jun Sakuma, Yasuo Kawakami, & Katsuhiko Suzuki. (2014). Evaluation of serum leaking enzymes and investigation into new biomarkers for exercise-induced muscle damage.. PubMed. 20. 39–54. 52 indexed citations
9.
Suzuki, Katsuhiko, et al.. (2014). Effect of a sports drink based on highly-branched cyclic dextrin on cytokine responses to exhaustive endurance exercise.. PubMed. 54(5). 622–30. 14 indexed citations
10.
Kanda, Kazue, Kaoru Sugama, Harumi Hayashida, et al.. (2013). Eccentric exercise-induced delayed-onset muscle soreness and changes in markers of muscle damage and inflammation.. PubMed. 19. 72–85. 155 indexed citations
11.
Sugama, Kaoru, et al.. (2013). Urinary excretion of cytokines versus their plasma levels after endurance exercise.. PubMed. 19. 29–48. 47 indexed citations
12.
Suzuki, Katsuhiko, Masaki Takahashi, Kaoru Sugama, et al.. (2012). Assessment of antioxidant and anti-inflammatory actions of curcumin by application of novel neutrophil activity measurement system. 41(4). 343–348. 2 indexed citations
13.
Sugama, Kaoru, et al.. (2012). IL-17, neutrophil activation and muscle damage following endurance exercise.. PubMed. 18. 116–27. 59 indexed citations
14.
Suzuki, Katsuhiko, Yoko Suzuki, Kaoru Sugama, et al.. (2012). Functional Assessment of Plant Extracts by Application of Novel Neutrophil Activity Measurement System. 9(2). 89–95. 2 indexed citations
15.
Morifuji, Masashi, Tomoko Aoyama, Kaoru Sugama, et al.. (2011). Relationship Between Subjective Fatigue by Exercise and Stress Hormone and Cytokine Variables. 8(2). 67–73.
16.
Hayashida, Harumi, Mayura Shimura, Kaoru Sugama, Kazue Kanda, & Katsuhiko Suzuki. (2010). Changes in Oxidative Stress Indices of Saliva by Menstrual Cycle and Endurance Exercise. PubMed. 7(2). 125–128. 41 indexed citations
17.
Nakayama, Tomohiro, Naoyuki Sato, Zhaoying Fu, et al.. (2009). Haplotype-based case–control study of receptor (calcitonin) activity-modifying protein-1 gene in cerebral infarction. Journal of Human Hypertension. 24(5). 351–358. 10 indexed citations
18.
Murata, Yukie, Kaoru Sugama, Kyoko Imanaka‐Yoshida, et al.. (2003). A single administration of interleukin-4 antagonistic mutant DNA inhibits allergic airway inflammation in a mouse model of asthma. Gene Therapy. 10(26). 2119–2125. 25 indexed citations
19.
Ikeya, Yukinobu, Kaoru Sugama, Miho Tanaka, et al.. (1995). Structure Determination of Biliary Metabolites of Schizandrin in Rat and Dog.. Chemical and Pharmaceutical Bulletin. 43(1). 121–129. 13 indexed citations
20.
Ikeya, Yukinobu, Kaoru Sugama, & Masao Maruno. (1994). Xanthone C-Glycoside and Acylated Sugar from Polygala tenuifolia.. Chemical and Pharmaceutical Bulletin. 42(11). 2305–2308. 26 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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