Taishi Mishima

536 total citations · 1 hit paper
7 papers, 431 citations indexed

About

Taishi Mishima is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Taishi Mishima has authored 7 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Taishi Mishima's work include Extracellular vesicles in disease (2 papers), Neuropeptides and Animal Physiology (2 papers) and Vagus Nerve Stimulation Research (1 paper). Taishi Mishima is often cited by papers focused on Extracellular vesicles in disease (2 papers), Neuropeptides and Animal Physiology (2 papers) and Vagus Nerve Stimulation Research (1 paper). Taishi Mishima collaborates with scholars based in Japan, United States and Switzerland. Taishi Mishima's co-authors include Yoshihiko Nakamura, Tomoko Nakai, Shunichi Kato, Sibylle Grad, Mauro Alini, Danny Chan, Kathryn S.E. Cheah, Ken–ichi Yamamura, Makarand V. Risbud and Kiyoshi Ando and has published in prestigious journals such as Nature Communications, International Journal of Molecular Sciences and Oncotarget.

In The Last Decade

Taishi Mishima

7 papers receiving 429 citations

Hit Papers

Exhaustion of nucleus pulposus progenitor cells with agei... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taishi Mishima Japan 6 325 198 128 112 61 7 431
Zachary R. Schoepflin United States 9 306 0.9× 184 0.9× 113 0.9× 142 1.3× 67 1.1× 10 459
Qinming Fei China 13 306 0.9× 158 0.8× 248 1.9× 88 0.8× 81 1.3× 21 462
Prashanti Patil United States 7 433 1.3× 300 1.5× 106 0.8× 161 1.4× 84 1.4× 7 648
Katarina Junevik Sweden 9 252 0.8× 161 0.8× 107 0.8× 56 0.5× 63 1.0× 11 358
Jillian Mayer United States 9 184 0.6× 123 0.6× 92 0.7× 167 1.5× 62 1.0× 13 532
Yuichiro Hirose Japan 7 212 0.7× 175 0.9× 84 0.7× 125 1.1× 75 1.2× 8 407
Zariel I. Johnson United States 10 215 0.7× 124 0.6× 89 0.7× 146 1.3× 66 1.1× 16 408
Bhaloo J. Desai United States 7 219 0.7× 125 0.6× 142 1.1× 85 0.8× 74 1.2× 8 377
Jordy Schol Japan 15 495 1.5× 356 1.8× 226 1.8× 90 0.8× 64 1.0× 38 614
Tamer Hadi United States 8 183 0.6× 141 0.7× 118 0.9× 80 0.7× 17 0.3× 12 359

Countries citing papers authored by Taishi Mishima

Since Specialization
Citations

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

Fields of papers citing papers by Taishi Mishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taishi Mishima

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

All Works

7 of 7 papers shown
1.
Deguchi, Atsuko, Taishi Mishima, Umeharu Ohto, et al.. (2023). Novel multivalent S100A8 inhibitory peptides attenuate tumor progression and metastasis by inhibiting the TLR4-dependent pathway. Cancer Gene Therapy. 30(7). 973–984. 8 indexed citations
2.
Ieguchi, Katsuaki, Masabumi Funakoshi, Taishi Mishima, et al.. (2022). The Sympathetic Nervous System Contributes to the Establishment of Pre-Metastatic Pulmonary Microenvironments. International Journal of Molecular Sciences. 23(18). 10652–10652. 12 indexed citations
3.
Ieguchi, Katsuaki, Takeshi Tomita, Toshifumi Takao, et al.. (2021). Analysis of ADAM12-Mediated Ephrin-A1 Cleavage and Its Biological Functions. International Journal of Molecular Sciences. 22(5). 2480–2480. 14 indexed citations
4.
Tomita, Takeshi, Masayoshi Kato, Taishi Mishima, et al.. (2021). Extracellular mRNA transported to the nucleus exerts translation-independent function. Nature Communications. 12(1). 3655–3655. 13 indexed citations
5.
Tsukahara, Fujiko, Taishi Mishima, Katsuaki Ieguchi, et al.. (2018). Paradoxical counteraction by imatinib against cell death in myeloid progenitor 32D cells expressing p210BCR-ABL. Oncotarget. 9(60). 31682–31696. 3 indexed citations
6.
Hiratsuka, Sachie, Takeshi Tomita, Taishi Mishima, et al.. (2018). Hepato‐entrained B220 + CD 11c + NK 1.1 + cells regulate pre‐metastatic niche formation in the lung. EMBO Molecular Medicine. 10(7). 16 indexed citations
7.
Sakai, Daisuke, Yoshihiko Nakamura, Tomoko Nakai, et al.. (2012). Exhaustion of nucleus pulposus progenitor cells with ageing and degeneration of the intervertebral disc. Nature Communications. 3(1). 1264–1264. 365 indexed citations breakdown →

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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