Tsuyoshi Tabata

3.7k total citations · 2 hit papers
53 papers, 2.6k citations indexed

About

Tsuyoshi Tabata is a scholar working on Molecular Biology, Mechanical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tsuyoshi Tabata has authored 53 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Mechanical Engineering and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tsuyoshi Tabata's work include Advanced Proteomics Techniques and Applications (11 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Mass Spectrometry Techniques and Applications (7 papers). Tsuyoshi Tabata is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Metabolomics and Mass Spectrometry Studies (10 papers) and Mass Spectrometry Techniques and Applications (7 papers). Tsuyoshi Tabata collaborates with scholars based in Japan, United States and Canada. Tsuyoshi Tabata's co-authors include Yasushi Ishihama, Yoshiya Oda, Toshitaka Sato, Takeshi Nagasu, Matthias Mann, Juri Rappsilber, Akiyasu C. Yoshizawa, Masaki Matsumoto, Naoyuki Sugiyama and Yu Watanabe and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Tsuyoshi Tabata

45 papers receiving 2.6k citations

Hit Papers

Exponentially Modified Protein Abundance Index (emPAI) fo... 2005 2026 2012 2019 2005 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsuyoshi Tabata Japan 12 1.6k 738 200 191 177 53 2.6k
Luisa Sturiale Italy 30 1.6k 1.0× 351 0.5× 413 2.1× 262 1.4× 274 1.5× 100 2.6k
Chunsheng Jin Sweden 33 1.8k 1.1× 178 0.2× 163 0.8× 177 0.9× 182 1.0× 96 3.0k
Félix Elortza Spain 31 2.4k 1.5× 623 0.8× 229 1.1× 246 1.3× 148 0.8× 168 3.9k
Karl Burgess United Kingdom 32 1.7k 1.0× 484 0.7× 195 1.0× 97 0.5× 119 0.7× 76 3.0k
Yang Pan China 31 1.4k 0.9× 178 0.2× 73 0.4× 88 0.5× 205 1.2× 108 2.8k
Gang Shao China 21 2.4k 1.5× 125 0.2× 87 0.4× 58 0.3× 205 1.2× 60 3.6k
Stefan Kalkhof Germany 28 1.2k 0.8× 488 0.7× 300 1.5× 46 0.2× 132 0.7× 91 2.2k
Bingwen Lu United States 28 1.9k 1.2× 554 0.8× 318 1.6× 96 0.5× 154 0.9× 55 2.9k
Laurie J. Jones United States 10 1.5k 0.9× 271 0.4× 121 0.6× 107 0.6× 151 0.9× 12 2.3k
David A. Lucas United States 25 1.4k 0.9× 887 1.2× 127 0.6× 33 0.2× 104 0.6× 35 2.2k

Countries citing papers authored by Tsuyoshi Tabata

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Tabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoshi Tabata

This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Tabata. A scholar is included among the top collaborators of Tsuyoshi Tabata 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 Tsuyoshi Tabata. Tsuyoshi Tabata 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.
Miura, Nobuaki, Tsuyoshi Tabata, Yasushi Ishihama, & Shujiro Okuda. (2025). Phylogenetic tree-based amino acid sequence generation for proteomics data analysis of unknown species. Computational and Structural Biotechnology Journal. 27. 2313–2322.
2.
Iwasaki, Mio, et al.. (2024). Differences in Uniquely Identified Peptides Between ddaPASEF and diaPASEF. Cells. 13(22). 1848–1848. 2 indexed citations
3.
Okuda, Shujiro, Akiyasu C. Yoshizawa, Daiki Kobayashi, et al.. (2024). jPOST environment accelerates the reuse and reanalysis of public proteome mass spectrometry data. Nucleic Acids Research. 53(D1). D462–D467. 15 indexed citations
4.
Shimizu, Kazuhiro, et al.. (2024). Potential Effects of Sacubitril/Valsartan on the Cardio-ankle Vascular Index in Hypertensive Patients. Internal Medicine. 64(10). 1470–1475.
5.
Shimizu, Kazuhiro, et al.. (2023). Sacubitril/Valsartan Shows Improvement of the Cardio-Ankle Vascular Index in a Hypertensive Patient. International Medical Case Reports Journal. Volume 16. 461–465. 2 indexed citations
6.
Takahashi, Kazutoshi, Chikako Okubo, Michiko Nakamura, et al.. (2022). A stress-reduced passaging technique improves the viability of human pluripotent cells. Cell Reports Methods. 2(2). 100155–100155. 4 indexed citations
7.
Tabata, Tsuyoshi, et al.. (2021). The Relationship Between Cardio-Ankle Vascular Index and Left Atrial Phasic Function in Hypertensive Patients With Preserved Ejection Fraction. SHILAP Revista de lepidopterología. 3. 724089–724089. 4 indexed citations
8.
Uchida, Yasumi, et al.. (2020). Detection of early stage of human coronary atherosclerosis by angioscopic imaging of collagen subtypes. Journal of Cardiology. 77(5). 452–456. 2 indexed citations
9.
Iwasaki, Mio, et al.. (2019). Removal of Interference MS/MS Spectra for Accurate Quantification in Isobaric Tag-Based Proteomics. Journal of Proteome Research. 18(6). 2535–2544. 13 indexed citations
10.
Okuda, Shujiro, Yu Watanabe, Yuki Moriya, et al.. (2016). jPOSTrepo: an international standard data repository for proteomes. Nucleic Acids Research. 45(D1). D1107–D1111. 479 indexed citations breakdown →
11.
Tabata, Tsuyoshi, Tsutomu Inaoka, Noboru Motomura, et al.. (2015). Two cases of cystic adventitial disease of the popliteal artery. Choonpa Igaku. 42(4). 541–549. 4 indexed citations
13.
Sugiyama, Yuko, Tsuyoshi Tabata, Ken Sasaki, et al.. (2007). Two cases of quadricuspid aortic valve diagnosed preoperatively by echocardiography. Choonpa Igaku. 34(2). 171–176. 1 indexed citations
14.
Ishihama, Yasushi, Yoshiya Oda, Tsuyoshi Tabata, et al.. (2005). Exponentially Modified Protein Abundance Index (emPAI) for Estimation of Absolute Protein Amount in Proteomics by the Number of Sequenced Peptides per Protein. Molecular & Cellular Proteomics. 4(9). 1265–1272. 1697 indexed citations breakdown →
15.
Katayama, Hiroyuki, Tsuyoshi Tabata, Yasushi Ishihama, et al.. (2004). Efficient in‐gel digestion procedure using 5‐cyclohexyl‐1‐pentyl‐ βD ‐maltoside as an additive for gel‐based membrane proteomics. Rapid Communications in Mass Spectrometry. 18(20). 2388–2394. 55 indexed citations
16.
Loos, H. F. Machiel Van der, et al.. (2001). UNOBTRUSIVE VITAL SIGNS MONITORING FROM A MULTISENSOR BED SHEET. 5 indexed citations
17.
Hiasa, Yoshikazu, Takuya Wada, Tsuyoshi Tabata, et al.. (1990). [Primary coronary artery dissection: its incidence and genesis studied by clinical and coronary angiographic findings].. PubMed. 38(11). 1127–31. 3 indexed citations
18.
Tabata, Tsuyoshi, et al.. (1978). A Yield Criterion for Porous Metals and Analyses of Axial Compression of Porous Disks. 22(2). 101–113. 1 indexed citations
19.
Tabata, Tsuyoshi, et al.. (1975). Plane Strain Extrusion of Porous Materials. 19(2). 71–81. 1 indexed citations
20.
Tabata, Tsuyoshi. (1974). The slip line field theory for a porous material. 18(3). 219–230. 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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