M. Nakayama

37 papers receiving 255 citations

Peers

M. Nakayama
Comparison fields: 5 of 75
  • Reproductive Medicine 51
  • Environmental Chemistry 47
  • Obstetrics and Gynecology 46
  • Health, Toxicology and Mutagenesis 40
  • Immunology 38
Replace Maurizio De Rocco Ponce with:
Maurizio De Rocco Ponce Italy
Hans Salzer Austria
Yoshiharu Matsuno Japan
Nikolaos Pardalidis Greece
Dorit Manor Israel
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Yan‐hong Yu China
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M. Nakayama relative to Maurizio De Rocco Ponce Italy Maurizio De Rocco Ponce's profile →
Citations per field
00.5×2.6×
Maurizio De Rocco Ponce · 1×
Citations per year

Countries citing papers authored by M. Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by M. Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Nakayama

This figure shows the co-authorship network connecting the top 25 collaborators of M. Nakayama. A scholar is included among the top collaborators of M. Nakayama 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 M. Nakayama. M. Nakayama 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
#WorkIndexed citations
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低骨代謝回転マーカーを有するCAPD患者においてAllegro intact PTHアッセイより有用な骨に対するPTHの効果の分析法であるIRMA(whole PTH)
2
5 10
6 2
7 1
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定期的に透析治療(RDT)を受ける患者の高血圧に対する、欠陥的L‐アルギニン一酸化窒素(NO)経路の役割
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10 6
11 12
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[Pathological analysis of the placenta in trisomies 21, 18 and 13].
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Effects of the new centrally acting muscle relaxant 7-chloro-N,N,3-trimethylbenzo[b]furan-2-carboxamide on motor and central nervous systems in rats.
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Malignant degeneration of benign cystic teratoma of the bilateral ovaries: adenosquamous carcinoma in the right tumor and squamous carcinoma in the left tumor.
4
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298. Involvement of Catecholamine and Adenosine-3' , 5'-Monophosphate on the Release of β-Endorphin-Like Immunoreactivity from Dispersed Cells of the Intermediate Lobe of the Rat Pituitary Gland :
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About M. Nakayama

M. Nakayama is a scholar working on Obstetrics and Gynecology, Filtration and Separation and Transplantation, having authored 39 papers that have together received 268 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (4 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Reproductive Medicine (51 citations), Obstetrics and Gynecology (46 citations) and Environmental Chemistry (47 citations). M. Nakayama has collaborated with scholars based in Japan and United States. Frequent co-authors include S.J. Behrman, Brian Phillips, Feng Xiao, Isao Miyakawa, M Maeyama, Masao Maeyama, Osamu Tsutsumi, K Kinoshita, Matao Sakanashi and Kimihiko Satoh. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Colloid and Interface Science and Journal of the American Society of Nephrology.

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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