N Nagaya

1.2k total citations
23 papers, 846 citations indexed

About

N Nagaya is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, N Nagaya has authored 23 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in N Nagaya's work include Pulmonary Hypertension Research and Treatments (8 papers), Mesenchymal stem cell research (5 papers) and Cardiovascular Function and Risk Factors (5 papers). N Nagaya is often cited by papers focused on Pulmonary Hypertension Research and Treatments (8 papers), Mesenchymal stem cell research (5 papers) and Cardiovascular Function and Risk Factors (5 papers). N Nagaya collaborates with scholars based in Japan and United States. N Nagaya's co-authors include Kenji Kangawa, Tohru Itoh, Satoshi Kitamura, T. Iwase, Takeshi Matsumoto, Takeshi Fujii, Albert A. Herrera, Lisa R. Banner, Shunsuke Ohnishi and Kenichi Yamahara and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and The Journal of Physiology.

In The Last Decade

N Nagaya

23 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N Nagaya Japan 14 260 221 199 198 192 23 846
Shinsuke Murakami Japan 13 334 1.3× 303 1.4× 205 1.0× 460 2.3× 409 2.1× 16 1.3k
Tanya L. Butler Australia 17 517 2.0× 113 0.5× 121 0.6× 87 0.4× 198 1.0× 25 1.1k
A Moriguchi Japan 15 340 1.3× 54 0.2× 381 1.9× 291 1.5× 73 0.4× 25 971
Bingwen Jin United States 14 1.2k 4.8× 133 0.6× 170 0.9× 86 0.4× 104 0.5× 17 1.6k
Éva Katona Hungary 17 137 0.5× 194 0.9× 148 0.7× 87 0.4× 36 0.2× 42 697
Fay M. Hansen‐Smith United States 19 473 1.8× 38 0.2× 229 1.2× 182 0.9× 62 0.3× 29 993
Shinichiro Yamada Japan 19 294 1.1× 88 0.4× 398 2.0× 213 1.1× 166 0.9× 83 1.3k
Peter Leenders Netherlands 14 223 0.9× 65 0.3× 424 2.1× 125 0.6× 61 0.3× 27 839
Haruko Kawaguchi Japan 8 502 1.9× 60 0.3× 324 1.6× 235 1.2× 110 0.6× 9 924
Rosemeire M. Kanashiro‐Takeuchi United States 18 429 1.6× 53 0.2× 418 2.1× 202 1.0× 97 0.5× 41 947

Countries citing papers authored by N Nagaya

Since Specialization
Citations

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

Fields of papers citing papers by N Nagaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N Nagaya

This figure shows the co-authorship network connecting the top 25 collaborators of N Nagaya. A scholar is included among the top collaborators of N Nagaya 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 N Nagaya. N Nagaya 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.
Ohnishi, Shunsuke, Kazuto Okabe, Hiroaki Obata, et al.. (2009). Involvement of tazarotene‐induced gene 1 in proliferation and differentiation of human adipose tissue‐derived mesenchymal stem cells. Cell Proliferation. 42(3). 309–316. 13 indexed citations
2.
Mori, Hajime, et al.. (2008). Adipose-Derived Stem Cell Sheet Transplantation Therapy on Swine Chronic Heart Failure Model. Circulation. 118(18). 862. 1 indexed citations
3.
4.
Jin, Dong, Kazuhiko Harada, Shunsuke Ohnishi, et al.. (2008). Adrenomedullin induces lymphangiogenesis and ameliorates secondary lymphoedema. Cardiovascular Research. 80(3). 339–345. 56 indexed citations
5.
Yamahara, Kenichi, Kyoungdoug Min, H Tomoike, et al.. (2008). Pathological role of angiostatin in heart failure: an endogenous inhibitor of mesenchymal stem-cell activation. Heart. 95(4). 283–289. 8 indexed citations
6.
Yanagawa, Bobby, M. Kataoka, Shunsuke Ohnishi, et al.. (2007). Infusion of adrenomedullin improves acute myocarditis via attenuation of myocardial inflammation and edema. Cardiovascular Research. 76(1). 110–118. 14 indexed citations
7.
Iwase, T., N Nagaya, Takeshi Fujii, et al.. (2005). Comparison of angiogenic potency between mesenchymal stem cells and mononuclear cells in a rat model of hindlimb ischemia. Cardiovascular Research. 66(3). 543–551. 207 indexed citations
8.
Nagaya, N, T. Horio, Kunio Miyatake, et al.. (2004). Cell therapy for pulmonary hypertension: What is the true potential of endothelial progenitor cells? Response. Circulation. 109(12). 2 indexed citations
9.
Ishida, Michiko, Shinji Tomita, Takeshi Nakatani, et al.. (2003). Bone marrow mononuclear cell transplantation improved cardiac function of rat doxorubicin-induced cardiomyopathy model. The Journal of Heart and Lung Transplantation. 22(1). S124–S125. 2 indexed citations
10.
Nagaya, N. (2003). Ghrelin improves left ventricular dysfunction and cardiac cachexia in heart failure. Current Opinion in Pharmacology. 3(2). 146–151. 75 indexed citations
11.
Watanabe, Ken, Toshio Nishikimi, Motoki Takamuro, et al.. (2003). Two Molecular Forms of Adrenomedullin in Congenital Heart Disease. Pediatric Cardiology. 24(6). 559–565. 3 indexed citations
12.
13.
Nagaya, N, Toshio Nishikimi, Masaaki Uematsu, et al.. (2001). [Plasma brain natriuretic peptide as a prognostic indicator in patients with primary pulmonary hypertension].. PubMed. 37(2). 110–1. 25 indexed citations
14.
Nagaya, N. (2001). Hemodynamic, Renal, and Hormonal Effects of Ghrelin Infusion in Patients with Chronic Heart Failure. The Journal of Clinical Endocrinology & Metabolism. 86(12). 5854–5859. 60 indexed citations
15.
Nagaya, N, et al.. (2000). Haemodynamic and hormonal effects of adrenomedullin in patients with pulmonary hypertension. Heart. 84(6). 653–658. 82 indexed citations
16.
Nagaya, N, Toshio Nishikimi, Masaaki Uematsu, et al.. (1999). Plasma adrenomedullin as an indicator of prognosis after acute myocardial infarction. Heart. 81(5). 483–487. 53 indexed citations
17.
Nakanishi, Ryoichi, N Nagaya, Takashi Yoshimatsu, Takeshi Hanagiri, & Kosei Yasumoto. (1997). Optimal dose of basic fibroblast growth factor for long-segment orthotopic tracheal autografts. Journal of Thoracic and Cardiovascular Surgery. 113(1). 26–36. 22 indexed citations
18.
Nagaya, N, Toru Satoh, Yasushi Ishida, et al.. (1997). Impaired left ventricular myocardial metabolism in patients with pulmonary hypertension detected by radionuclide imaging. Nuclear Medicine Communications. 18(12). 1171–1177. 4 indexed citations
19.
Nagaya, N & Albert A. Herrera. (1995). Effects of testosterone on synaptic efficacy at neuromuscular junctions in a sexually dimorphic muscle of male frogs.. The Journal of Physiology. 483(1). 141–153. 15 indexed citations
20.
Herrera, Albert A., Lisa R. Banner, & N Nagaya. (1990). Repeated,in vivo observation of frog neuromuscular junctions: remodelling involves concurrent growth and retraction. Journal of Neurocytology. 19(1). 85–99. 51 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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