Tetsuo Maeda

487 total citations
10 papers, 407 citations indexed

About

Tetsuo Maeda is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tetsuo Maeda has authored 10 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tetsuo Maeda's work include Virus-based gene therapy research (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). Tetsuo Maeda is often cited by papers focused on Virus-based gene therapy research (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). Tetsuo Maeda collaborates with scholars based in Japan and Morocco. Tetsuo Maeda's co-authors include Tadahiro Kitamura, Hiroshi Sakaue, Wataru Ogawa, Masato Kasuga, Ushio Kikkawa, Yasuhisa Hino, Hiroaki Konishi, Masafumi Takata, Michihiro Matsumoto and Shoji Kuroda and has published in prestigious journals such as Molecular and Cellular Biology, Biochemical Journal and CHEST Journal.

In The Last Decade

Tetsuo Maeda

9 papers receiving 400 citations

Peers

Tetsuo Maeda

MB

SURGE

PHYSI

CB

EPIDE

Samira Alliouachene United Kingdom

Serge Clément Belgium

Alexander Jaschke Germany

Margaret F. Fox United Kingdom

Shelby Gorman United States

Ivan Carcamo‐Orive United States

Maneet Singh United States

Loren M. Brown United States

Diana Z. Ye United States

Caroline Arous Switzerland

Samira Alliouachene United Kingdom

Tetsuo Maeda

248 ×0.9

MB

79 ×0.9

SURGE

82 ×1.2

PHYSI

70 ×1.2

CB

60 ×1.1

EPIDE

Citations per year, relative to Tetsuo Maeda Tetsuo Maeda (= 1×) peers Samira Alliouachene

Countries citing papers authored by Tetsuo Maeda

Since Specialization

Citations

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

Fields of papers citing papers by Tetsuo Maeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Maeda

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

All Works

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10 of 10 papers shown

1.

Kitajima, Kazuhiro, Satoru Takahashi, Tetsuo Maeda, et al.. (2011). Thyroid size change by CT monitoring after sorafenib or sunitinib treatment in patients with renal cell carcinoma: Comparison with thyroid function. European Journal of Radiology. 81(9). 2060–2065. 17 indexed citations

2.

Koizumi, Junji, et al.. (2008). Influence of Physician Specialty on Treatment Goals for Diabetic Patients : Results of a Survey given to the Members of the Ishikawa Medical Association. 9(2). 71–79. 1 indexed citations

3.

Fujisawa, Takashi, Mitsuo Maeda, Tetsuo Maeda, et al.. (2002). Malignant endocrine tumor of the pancreas associated with von Recklinghausen's disease. Journal of Gastroenterology. 37(1). 59–67. 22 indexed citations

4.

Kitamura, Tadahiro, Wataru Ogawa, Hiroshi Sakaue, et al.. (1998). Requirement for Activation of the Serine-Threonine Kinase Akt (Protein Kinase B) in Insulin Stimulation of Protein Synthesis but Not of Glucose Transport. Molecular and Cellular Biology. 18(7). 3708–3717. 284 indexed citations

5.

Kitamura, Yukari, Tadahiro Kitamura, Hiroshi Sakaue, et al.. (1997). Interaction of Nck-associated protein 1 with activated GTP-binding protein Rac. Biochemical Journal. 322(3). 873–878. 46 indexed citations

6.

Nishiguchi, Kohshi, et al.. (1996). Pharmaceutical Studies for Gene Therapy: Expression of Human Cu,Zn-Superoxide Dismutase Gene Transfected by Lipofection in Rat Skin Fibroblasts.. Biological and Pharmaceutical Bulletin. 19(8). 1073–1077. 7 indexed citations

7.

Kazumi, Tsutomu, et al.. (1994). Concurrent Development of Hemiplegia and Angina Pectoris in a 46-year-old Man with Familial Hypercholesterolemia and Elevated Serum Lp (a) Concentrations. Journal of Atherosclerosis and Thrombosis. 1(2). 129–131. 1 indexed citations

8.

Kazumi, Tsutomu, et al.. (1994). Failure to Detect Brown Adipose Tissue Uncoupling Protein mRNA in Benign Symmetric Lipomatosis (Madelung's Disease).. Endocrine Journal. 41(3). 315–318. 9 indexed citations

9.

Kazumi, Tsutomu, Gen Yoshino, Tetsuo Maeda, et al.. (1994). Effects of niceritrol on elevated serum lipoprotein Lp(a) levels in diabetic patients with or without overt proteinuria. Current Therapeutic Research. 55(5). 546–551. 1 indexed citations

10.

Emori, Tetsuro, Yoichi Goto, Tetsuo Maeda, Yoshihide Chiba, & Kazuo Haze. (1993). Multiple Coronary Artery Dissections Diagnosed in Vivo in a Pregnant Woman. CHEST Journal. 104(1). 289–290. 19 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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