Y. Nagamura

886 total citations
32 papers, 738 citations indexed

About

Y. Nagamura is a scholar working on Molecular Biology, Biological Psychiatry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Y. Nagamura has authored 32 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Biological Psychiatry and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Y. Nagamura's work include Tryptophan and brain disorders (9 papers), Stress Responses and Cortisol (5 papers) and Natural product bioactivities and synthesis (4 papers). Y. Nagamura is often cited by papers focused on Tryptophan and brain disorders (9 papers), Stress Responses and Cortisol (5 papers) and Natural product bioactivities and synthesis (4 papers). Y. Nagamura collaborates with scholars based in Japan and United States. Y. Nagamura's co-authors include Junnichi Ishii, Takeshi Kondo, Masanori Nomura, Hitoshi Hishida, Hiroshi Kurokawa, Hiroyuki Naruse, Yoshihisa Mori, Takashi Ishikawa, Isao Ishiguro and Shûji Saito and has published in prestigious journals such as The American Journal of Cardiology, Clinical Chemistry and Cellular and Molecular Life Sciences.

In The Last Decade

Y. Nagamura

31 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Nagamura Japan 13 414 189 107 93 66 32 738
Aleksandar Kibel Croatia 13 244 0.6× 124 0.7× 65 0.6× 60 0.6× 94 1.4× 49 704
Annette Bak Netherlands 15 233 0.6× 106 0.6× 17 0.2× 54 0.6× 85 1.3× 19 692
Kyoung‐Ha Park South Korea 15 262 0.6× 132 0.7× 79 0.7× 93 1.0× 153 2.3× 37 686
Sara Habif Türkiye 16 69 0.2× 175 0.9× 21 0.2× 66 0.7× 73 1.1× 42 688
Beata Krasińska Poland 15 142 0.3× 145 0.8× 30 0.3× 68 0.7× 136 2.1× 64 784
I. Mutaf Türkiye 16 97 0.2× 150 0.8× 23 0.2× 49 0.5× 79 1.2× 28 610
Sandeep Seth India 19 633 1.5× 172 0.9× 53 0.5× 146 1.6× 275 4.2× 119 1.1k
Alper Yıldırım Türkiye 14 99 0.2× 286 1.5× 34 0.3× 45 0.5× 77 1.2× 27 704
Chi‐Woon Kong Taiwan 14 198 0.5× 133 0.7× 19 0.2× 67 0.7× 110 1.7× 37 758
M Jenny Austria 9 110 0.3× 181 1.0× 12 0.1× 28 0.3× 26 0.4× 20 510

Countries citing papers authored by Y. Nagamura

Since Specialization
Citations

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

Fields of papers citing papers by Y. Nagamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Nagamura

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Nagamura. A scholar is included among the top collaborators of Y. Nagamura 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 Y. Nagamura. Y. Nagamura 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.
Nagamura, Y., Satoru Takahashi, Makoto Nakagawa, et al.. (2025). Palliative radiotherapy for multiple liver metastases of Merkel cell carcinoma: A case report. Case Reports in Oncology. 18(1). 1–11.
2.
Ishii, Junnichi, Masanori Nomura, Hiroyuki Naruse, et al.. (2002). Risk stratification using a combination of cardiac troponin T and brain natriuretic peptide in patients hospitalized for worsening chronic heart failure. The American Journal of Cardiology. 89(6). 691–695. 149 indexed citations
3.
Ishii, Junnichi, Masanori Nomura, Hiroyuki Naruse, et al.. (2001). Risk stratification using serum concentrations of cardiac troponin T in patients with end-stage renal disease on chronic maintenance dialysis. Clinica Chimica Acta. 312(1-2). 69–79. 47 indexed citations
4.
Ishii, Junnichi, Yoshihisa Mori, Jianhua Wang, et al.. (2000). Plasma concentration of brain natriuretic peptide as a biochemical marker for the evaluation of right ventricular overload and mortality in chronic respiratory disease. Clinica Chimica Acta. 301(1-2). 19–30. 81 indexed citations
5.
Hasegawa, Yoshinori, Johji Naito, Rie Ikeda, et al.. (1999). Ommochrome Genesis in an Albino Strain of a Terrestrial Isopod. Advances in experimental medicine and biology. 467. 645–648. 1 indexed citations
6.
Nagamura, Y., Kentaro Uesugi, Johji Naito, & Isao Ishiguro. (1999). Cinnabarinic Acid was Formed in Damaged Mitochondria and its Effect on Mitochondrial Respiration. Advances in experimental medicine and biology. 467. 419–423. 7 indexed citations
7.
Ito, Yasuhiro, et al.. (1999). Kynurenine Concentration of Serum Was Increased by Exercise. Advances in experimental medicine and biology. 467. 717–722. 22 indexed citations
8.
Hasegawa, Yoshinori, et al.. (1999). Involvement of Tryptophan Metabolism in the Body Color of Crustacea. Advances in experimental medicine and biology. 467. 649–652. 2 indexed citations
9.
Ishii, Junnichi, Takashi Ishikawa, Y. Nagamura, et al.. (1998). Clinical specificity of a second-generation cardiac troponin T assay in patients with chronic renal failure. Clinica Chimica Acta. 270(2). 183–188. 7 indexed citations
10.
Ishii, Junnichi, Y. Nagamura, Masanori Nomura, et al.. (1997). Early detection of successful coronary reperfusion based on serum concentration of human heart-type cytoplasmic fatty acid-binding protein. Clinica Chimica Acta. 262(1-2). 13–27. 25 indexed citations
11.
Nagamura, Y., et al.. (1996). Macrophages Modulate Liver Cell Function via Tryptophan Metabolites. Advances in experimental medicine and biology. 398. 381–386. 4 indexed citations
12.
Saito, Kuniaki, M Seishima, Akio Noma, et al.. (1996). Kynurenine Pathway Metabolism in the Galactosamine Model of Hepatic Injury. Advances in experimental medicine and biology. 398. 421–424. 1 indexed citations
13.
14.
15.
Kamei, Akira, et al.. (1992). Assessment of chemoembolization therapy for primary liver cancer using a stabilized Adriamycin-lipiodol suspension. Cancer Chemotherapy and Pharmacology. 31(S1). S60–S64. 17 indexed citations
16.
Saito, Kuniaki, Yasutoshi Ohta, Isao Ishiguro, et al.. (1991). Specific Binding of L-Tryptophan to Serum Albumin and its Function in Vivo. Advances in experimental medicine and biology. 294. 611–614. 9 indexed citations
17.
Saito, Shûji, Kazuyuki Kuroda, Yukiko Hayashi, et al.. (1991). Preparation of Glycyrrhetic Acid Glycosides Having Various .BETA.(1.RAR.2)-Linked Disaccharides and Their Cytoprotective Effects on Carbon Tetrachloride-Induced Hepatic Injury.. Chemical and Pharmaceutical Bulletin. 39(9). 2333–2339. 26 indexed citations
18.
Naito, Johji, Isao Ishiguro, Y. Nagamura, & Hiroshi Ogawa. (1991). Rat Skin Tryptophan 2,3-Dioxygenase. Advances in experimental medicine and biology. 294. 527–529. 2 indexed citations
19.
Nagamura, Y., et al.. (1973). Enzymatic hydroxylation of anthranilamide in rat liver. Cellular and Molecular Life Sciences. 29(1). 26–28. 2 indexed citations
20.
Ishiguro, Isao & Y. Nagamura. (1971). [Identification of xanthommatin and isolation of red-protein in the body fluid of the rb-mutant of silkworms].. PubMed. 82(4). 123–6. 7 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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