Jun Tatsuno

495 total citations
7 papers, 419 citations indexed

About

Jun Tatsuno is a scholar working on Pharmacology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Tatsuno has authored 7 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 2 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Tatsuno's work include Pharmacogenetics and Drug Metabolism (3 papers), Acute Myocardial Infarction Research (2 papers) and Coronary Interventions and Diagnostics (2 papers). Jun Tatsuno is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), Acute Myocardial Infarction Research (2 papers) and Coronary Interventions and Diagnostics (2 papers). Jun Tatsuno collaborates with scholars based in Japan, United States and Israel. Jun Tatsuno's co-authors include Frank J. Gonzalez, Shigeru Yamano, Kenichi Kitani, Takashi Ishizaki, Michael H. Picard, Martha M. Tanizaki, Michael R. Zile, Mark G. Hibberd, Masayoshi Tani and Ryosei Kawai and has published in prestigious journals such as Biochemistry, Biochemical and Biophysical Research Communications and American Heart Journal.

In The Last Decade

Jun Tatsuno

7 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Tatsuno Japan	6	327	150	109	57	52	7	419
Anneli Kojo Finland	12	298 0.9×	165 1.1×	123 1.1×	49 0.9×	73 1.4×	16	519
Weiqiao Chen United States	6	366 1.1×	121 0.8×	117 1.1×	27 0.5×	50 1.0×	8	560
Kim J. Rich United Kingdom	13	281 0.9×	173 1.2×	175 1.6×	152 2.7×	40 0.8×	21	598
Sidney D. Nelson United States	9	429 1.3×	176 1.2×	195 1.8×	55 1.0×	71 1.4×	9	664
Yoshio Kanakubo Japan	12	390 1.2×	154 1.0×	206 1.9×	42 0.7×	50 1.0×	30	585
Akira Touchi Japan	9	384 1.2×	157 1.0×	147 1.3×	52 0.9×	77 1.5×	31	590
Abu Jafar Md. Sadeque United States	12	263 0.8×	163 1.1×	137 1.3×	20 0.4×	52 1.0×	21	535
H. Noguchi Japan	15	223 0.7×	211 1.4×	196 1.8×	31 0.5×	44 0.8×	58	641
David J. Porubek United States	12	201 0.6×	178 1.2×	87 0.8×	34 0.6×	25 0.5×	18	507
Y Funae Japan	12	360 1.1×	298 2.0×	156 1.4×	65 1.1×	79 1.5×	13	672

Countries citing papers authored by Jun Tatsuno

Since Specialization

Citations

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

Fields of papers citing papers by Jun Tatsuno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tatsuno

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

All Works

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7 of 7 papers shown

Jang, Ik–Kyung, Neil J. Weissman, Michael H. Picard, et al.. (2007). A randomized, double-blind, placebo-controlled study of the safety and efficacy of intravenous MCC-135 as an adjunct to primary percutaneous coronary intervention in patients with acute myocardial infarction: Evaluation of MCC-135 for left ventricular salvage in acute myocardial infarction (EVOLVE). American Heart Journal. 155(1). 113.e1–113.e8. 21 indexed citations

Jang, Ik–Kyung, Michael H. Picard, Peter R. Kowey, et al.. (2005). A Randomized, Double-Blind, Placebo-Controlled Study of the Safety and Efficacy of Intravenous MCC-135 as an Adjunct to Primary Percutaneous Coronary Intervention in Patients with Acute Myocardial Infarction: Rationale and Design of the Evaluation of MCC-135 for Left Ventricular Salvage in Acute MI (EVOLVE) Study. Journal of Thrombosis and Thrombolysis. 20(3). 147–153. 12 indexed citations

Echizen, Hirotoshi, Martha M. Tanizaki, Jun Tatsuno, et al.. (2000). Identification of CYP3A4 as the Enzyme Involved in the Mono-N-Dealkylation of Disopyramide Enantiomers in Humans. Drug Metabolism and Disposition. 28(8). 937–944. 20 indexed citations

Yamano, Shigeru, Jun Tatsuno, & Frank J. Gonzalez. (1990). The CYP2A3 gene product catalyzes coumarin 7-hydroxylation in human liver microsomes. Biochemistry. 29(5). 1322–1329. 338 indexed citations

Fujita, S., Jun Tatsuno, Kenichi Kitani, & Tsukasa Suzuki. (1990). Age-associated alterations in diazepam metabolizing enzyme activities in male and female rats.. Drug Metabolism and Disposition. 18(5). 812–814. 11 indexed citations

Tatsuno, Jun, et al.. (1985). Age associated alteration of lidocaine metabolism is position selective. Biochemical and Biophysical Research Communications. 126(1). 117–122. 16 indexed citations

Kawai, Ryosei, et al.. (1983). LIDOCAINE-LIDOCAINE METABOLITE INTERACTIONS IN THEIR METABOLISM. Journal of Pharmacobio-Dynamics. 6(4). 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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