Tomoko Shimano

630 total citations
9 papers, 485 citations indexed

About

Tomoko Shimano is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Genetics. According to data from OpenAlex, Tomoko Shimano has authored 9 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Endocrine and Autonomic Systems and 4 papers in Genetics. Recurrent topics in Tomoko Shimano's work include Genetics and Physical Performance (4 papers), Sports Performance and Training (4 papers) and Neuropeptides and Animal Physiology (4 papers). Tomoko Shimano is often cited by papers focused on Genetics and Physical Performance (4 papers), Sports Performance and Training (4 papers) and Neuropeptides and Animal Physiology (4 papers). Tomoko Shimano collaborates with scholars based in Japan, United States and Australia. Tomoko Shimano's co-authors include Carl M. Maresh, Disa L. Hatfield, William J. Kraemer, Barry A. Spiering, LUUK P.B. SPREUWENBERG, Maren S. Fragala, Robert U. Newton, Steven J. Fleck, Jeff S. Volek and Jakob L. Vingren and has published in prestigious journals such as The Journal of Strength and Conditioning Research and Peptides.

In The Last Decade

Tomoko Shimano

9 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoko Shimano Japan 7 369 145 132 67 56 9 485
Alex Klemp United States 7 399 1.1× 170 1.2× 117 0.9× 72 1.1× 62 1.1× 14 510
S. Fusi Italy 6 327 0.9× 115 0.8× 124 0.9× 100 1.5× 36 0.6× 8 485
Fabrício Miranda Brazil 5 316 0.9× 149 1.0× 94 0.7× 54 0.8× 64 1.1× 10 446
Ricardo Augusto Barbieri Brazil 12 266 0.7× 101 0.7× 71 0.5× 52 0.8× 62 1.1× 47 411
Patrycja Lipińska Poland 15 368 1.0× 104 0.7× 99 0.8× 97 1.4× 69 1.2× 46 529
Chad Dolan United States 6 281 0.8× 119 0.8× 85 0.6× 41 0.6× 67 1.2× 10 411
Rocky Blanco United States 7 285 0.8× 115 0.8× 88 0.7× 41 0.6× 94 1.7× 10 474
Emanuela Faelli Italy 12 208 0.6× 85 0.6× 64 0.5× 44 0.7× 74 1.3× 59 431
Amelia A. Miramonti United States 13 485 1.3× 163 1.1× 202 1.5× 60 0.9× 107 1.9× 32 694
Everton Crívoi do Carmo Brazil 14 358 1.0× 185 1.3× 78 0.6× 83 1.2× 45 0.8× 47 608

Countries citing papers authored by Tomoko Shimano

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Shimano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Shimano

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Shimano. A scholar is included among the top collaborators of Tomoko Shimano 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 Tomoko Shimano. Tomoko Shimano 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.
Takenaka, Yasuyuki, Tomoko Shimano, Yuko Yamada, et al.. (2008). Enterostatin (APGPR) suppresses the analgesic activity of morphine by a CCK-dependent mechanism. Peptides. 29(4). 559–563. 6 indexed citations
2.
Takenaka, Yasuyuki, et al.. (2008). Enterostatin reduces serum cholesterol levels by way of a CCK1 receptor-dependent mechanism. Peptides. 29(12). 2175–2178. 5 indexed citations
3.
Ohinata, Kousaku, et al.. (2006). Enterostatin (APGPR) enhances memory consolidation in mice. Peptides. 28(3). 719–721. 12 indexed citations
4.
Hatfield, Disa L., William J. Kraemer, Barry A. Spiering, et al.. (2006). The Impact of Velocity of Movement on Performance Factors in Resistance Exercise. The Journal of Strength and Conditioning Research. 20(4). 760–760. 66 indexed citations
5.
Shimano, Tomoko, William J. Kraemer, Barry A. Spiering, et al.. (2006). Relationship Between the Number of Repetitions and Selected Percentages of One Repetition Maximum in Free Weight Exercises in Trained and Untrained Men. The Journal of Strength and Conditioning Research. 20(4). 819–819. 220 indexed citations
6.
Shimano, Tomoko, William J. Kraemer, Barry A. Spiering, et al.. (2006). RELATIONSHIP BETWEEN THE NUMBER OF REPETITIONS AND SELECTED PERCENTAGES OF ONE REPETITION MAXIMUM IN FREE WEIGHT EXERCISES IN TRAINED AND UNTRAINED MEN. The Journal of Strength and Conditioning Research. 20(4). 819–823. 129 indexed citations
7.
Hatfield, Disa L., William J. Kraemer, Barry A. Spiering, et al.. (2006). THE IMPACT OF VELOCITY OF MOVEMENT ON PERFORMANCE FACTORS IN RESISTANCE EXERCISE. The Journal of Strength and Conditioning Research. 20(4). 760–766. 24 indexed citations
8.
Usui, Hachiro, Tomoko Shimano, Megumi Yokoo, et al.. (2004). Physiological effects and mechanism of Arg-Ile-Tyr, a multifunctional peptide derived from rapeseed protein. 2003. 85–88. 1 indexed citations
9.
Ohinata, Kousaku, Tomoko Shimano, Rena Yamauchi, et al.. (2004). The anorectic effect of neurotensin is mediated via a histamine H1 receptor in mice. Peptides. 25(12). 2135–2138. 22 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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