Seiji Takashima

10.9k total citations · 1 hit paper
166 papers, 7.6k citations indexed

About

Seiji Takashima is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Seiji Takashima has authored 166 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 65 papers in Cardiology and Cardiovascular Medicine and 36 papers in Pathology and Forensic Medicine. Recurrent topics in Seiji Takashima's work include Cardiac Ischemia and Reperfusion (35 papers), Nitric Oxide and Endothelin Effects (19 papers) and Cardiac electrophysiology and arrhythmias (18 papers). Seiji Takashima is often cited by papers focused on Cardiac Ischemia and Reperfusion (35 papers), Nitric Oxide and Endothelin Effects (19 papers) and Cardiac electrophysiology and arrhythmias (18 papers). Seiji Takashima collaborates with scholars based in Japan, United States and China. Seiji Takashima's co-authors include Masafumi Kitakaze, Hiroshi Asanuma, Masanori Asakura, Masatsugu Hori, Tetsuo Minamino, Yulin Liao, Michael Klagsbrun, Osamu Tsukamoto, Shoji Sanada and Yoshihiro Asano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Seiji Takashima

165 papers receiving 7.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cardiac hypertrophy is inhibited by antagonism of ADAM12 processing of HB-EGF: Metalloproteinase inhibitors as a new therapy

2002 590 citations Masanori Asakura, Masafumi Kitakaze et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seiji Takashima Japan	48	3.6k	2.1k	1.3k	1.2k	1.0k	166	7.6k
Masanori Asakura Japan	41	2.6k 0.7×	2.5k 1.2×	586 0.4×	622 0.5×	740 0.7×	216	6.5k
Richard N. Kitsis United States	54	7.4k 2.0×	3.0k 1.4×	1.6k 1.2×	1.2k 1.0×	963 0.9×	114	11.5k
Mark A. Sussman United States	61	7.3k 2.0×	3.9k 1.9×	1.2k 0.9×	1.5k 1.2×	846 0.8×	193	11.9k
Hanna Osińska United States	44	5.7k 1.6×	3.2k 1.5×	635 0.5×	1.4k 1.1×	377 0.4×	89	8.2k
Takako Fujiwara Japan	43	2.5k 0.7×	2.5k 1.2×	969 0.7×	314 0.3×	651 0.6×	169	6.4k
Krishna Singh United States	43	3.4k 0.9×	2.6k 1.2×	1.0k 0.8×	371 0.3×	522 0.5×	109	6.7k
Nanette H. Bishopric United States	39	3.7k 1.0×	1.6k 0.8×	839 0.6×	381 0.3×	391 0.4×	80	6.3k
Julie Chao United States	64	5.4k 1.5×	2.4k 1.2×	454 0.3×	524 0.4×	854 0.8×	320	12.8k
Angela Clerk United Kingdom	45	4.9k 1.4×	2.4k 1.1×	766 0.6×	544 0.4×	436 0.4×	104	6.6k
Mansoor Husain Canada	48	4.3k 1.2×	2.5k 1.2×	446 0.3×	371 0.3×	705 0.7×	158	10.9k

Countries citing papers authored by Seiji Takashima

Since Specialization

Citations

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

Fields of papers citing papers by Seiji Takashima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Takashima

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

All Works

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20 of 20 papers shown

Nishimura, Shunsuke, Hidetaka Kioka, Shan Ding, et al.. (2025). HSC70 coordinates COP9 signalosome and SCF ubiquitin ligase activity to enable a prompt stress response. EMBO Reports. 26(5). 1344–1366. 1 indexed citations

Tsukamoto, Osamu, Takuya Hasegawa, Ken Matsuoka, et al.. (2024). Relative B-Type Natriuretic Peptide Deficiency May Exist in Diastolic Dysfunction in Subclinical Population. Circulation Reports. 6(5). 151–160. 1 indexed citations

Tsukamoto, Osamu, Takuya Hasegawa, Ken Matsuoka, et al.. (2024). Association Between B-Type Natriuretic Peptide Deficiency and Left Ventricular Concentric Hypertrophy in Subclinical Individuals. JACC Asia. 4(1). 87–88. 1 indexed citations

Mizui, Masayuki, Masashi Morita, Hisakazu Kato, et al.. (2024). Enhanced fatty acid oxidation by selective activation of PPARα alleviates autoimmunity through metabolic transformation in T-cells. Clinical Immunology. 268. 110357–110357. 2 indexed citations

Oya, Ryohei, Osamu Tsukamoto, Ken‐ichi Matsuoka, et al.. (2022). Gene Transfer of Skeletal Muscle-Type Myosin Light Chain Kinase via Adeno-Associated Virus 6 Improves Muscle Functions in an Amyotrophic Lateral Sclerosis Mouse Model. International Journal of Molecular Sciences. 23(3). 1747–1747. 3 indexed citations

Tsukamoto, Osamu, Takuya Hasegawa, Ken Matsuoka, et al.. (2021). Lower B-Type Natriuretic Peptide Levels Predict Left Ventricular Concentric Remodelling and Insulin Resistance. ESC Heart Failure. 9(1). 636–647. 8 indexed citations

Mori, Daisuke, Isao Matsui, Akihiro Shimomura, et al.. (2018). Protein carbamylation exacerbates vascular calcification. Kidney International. 94(1). 72–90. 45 indexed citations

Morito, Daisuke, Tomohisa Hatta, Shun‐ichiro Iemura, et al.. (2017). Alternative exon skipping biases substrate preference of the deubiquitylase USP15 for mysterin/RNF213, the moyamoya disease susceptibility factor. Scientific Reports. 7(1). 44293–44293. 14 indexed citations

Asakura, Masanori, Kyung‐Duk Min, Shin Ito, et al.. (2017). Cartilage Intermediate Layer Protein 1 Suppresses TGF-β Signaling in Cardiac Fibroblasts. International journal of gerontology. 11(2). 67–74. 8 indexed citations

10.

Bielenberg, Diane R., Abhishek Seth, Akio Shimizu, et al.. (2012). Increased Smooth Muscle Contractility in Mice Deficient for Neuropilin 2. American Journal Of Pathology. 181(2). 548–559. 21 indexed citations

11.

Takahama, Hiroyuki, Hiroshi Asanuma, Shoji Sanada, et al.. (2010). A histamine H2 receptor blocker ameliorates development of heart failure in dogs independently of β-adrenergic receptor blockade. Basic Research in Cardiology. 105(6). 787–794. 32 indexed citations

12.

Wakeno, Masakatsu, Tetsuo Minamino, Osamu Seguchi, et al.. (2006). Long-Term Stimulation of Adenosine A2b Receptors Begun After Myocardial Infarction Prevents Cardiac Remodeling in Rats. Circulation. 114(18). 1923–1932. 84 indexed citations

13.

Kitakaze, Masafumi, Masanori Asakura, Hiroshi Asanuma, et al.. (2006). 2 How to Find Novel Pathophysiology and Therapy of Chronic Heart Failure from Genomic Database(Perspectives of Genome-wide Study to Identify Genes Underlying Cardiovascular Diseases,Roundtable Discussion 10 (RT10) (M),The 70th Anniversary Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 70. 94–95. 1 indexed citations

14.

Takashima, Seiji. (2004). Pharmacological role of HB-EGF shedding by angiotensin II in cardiomyocytes. Folia Pharmacologica Japonica. 124(2). 69–75. 2 indexed citations

15.

Iwamoto, Ryo, Satoru Yamazaki, Masanori Asakura, et al.. (2003). Heparin-binding EGF-like growth factor and ErbB signaling is essential for heart function. Proceedings of the National Academy of Sciences. 100(6). 3221–3226. 281 indexed citations

16.

Takashima, Seiji, Masafumi Kitakaze, Masanori Asakura, et al.. (2002). Targeting of both mouse neuropilin-1 and neuropilin-2 genes severely impairs developmental yolk sac and embryonic angiogenesis. Proceedings of the National Academy of Sciences. 99(6). 3657–3662. 292 indexed citations

17.

Ogita, Hisakazu, Koichi Node, Hiroshi Asanuma, et al.. (2002). Amelioration of ischemia- and reperfusion-induced myocardial injury by the selective estrogen receptor modulator, raloxifene, in the canine heart. Journal of the American College of Cardiology. 40(5). 998–1005. 40 indexed citations

18.

Kitakaze, Masafumi, Masanori Asakura, Yasuhiko Sakata, et al.. (2001). cDNA Array Hybridization Reveals Cardiac Gene Expression in Acute Ischemic Murine Hearts. Cardiovascular Drugs and Therapy. 15(2). 125–130. 7 indexed citations

19.

Kitakaze, Masafumi, Masatsugu Hori, Hiroshi Sato, et al.. (1990). -0742-ENDOGENOUS ADENOSINE INHIBITS FORMATION OF MICROTHROMBOEMBOLISM IN ISCHEMIC MYOCARDIUM. Japanese Circulation Journal-english Edition. 54(7). 922–923. 3 indexed citations

20.

Yoshino, Gen, Tsutomu Kazumi, Masahiko Amano, et al.. (1989). Effects of gamma oryzanol and probucol on hyperlipidemia. Current Therapeutic Research. 45(6). 975–982. 18 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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