NORIO YOSHIKAWA

53 total papers · 782 total citations
44 papers, 632 citations indexed

About

NORIO YOSHIKAWA is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, NORIO YOSHIKAWA has authored 44 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Genetics and 9 papers in Surgery. Recurrent topics in NORIO YOSHIKAWA's work include Thyroid Disorders and Treatments (18 papers), Diabetes and associated disorders (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). NORIO YOSHIKAWA is often cited by papers focused on Thyroid Disorders and Treatments (18 papers), Diabetes and associated disorders (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). NORIO YOSHIKAWA collaborates with scholars based in Japan, Canada and United States. NORIO YOSHIKAWA's co-authors include Mitsushige Nishikawa, Mitsuo Inada, Masateru Horimoto, Masayoshi Yoshimura, Robert J. Volpe, Erika Resetkova, Guillermo Arreaza, Tadaaki Miyamoto, S Taniguchi and Teppei Komatsu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Radiology and Biochemical and Biophysical Research Communications.

In The Last Decade

NORIO YOSHIKAWA

42 papers receiving 593 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
NORIO YOSHIKAWA 303 110 109 104 99 44 632
R. A. Metcalfe 313 1.0× 120 1.1× 93 0.9× 129 1.2× 60 0.6× 31 718
Diletta Angeletti 195 0.6× 133 1.2× 63 0.6× 139 1.3× 30 0.3× 33 786
Maria Gryczyńska 325 1.1× 62 0.6× 83 0.8× 121 1.2× 43 0.4× 46 600
G. Frey 152 0.5× 156 1.4× 88 0.8× 92 0.9× 46 0.5× 36 782
Hideyuki Yoshizumi 162 0.5× 105 1.0× 60 0.6× 106 1.0× 35 0.4× 42 564
Cleber Camacho 498 1.6× 31 0.3× 109 1.0× 165 1.6× 75 0.8× 58 778
J. N. Stiel 238 0.8× 50 0.5× 65 0.6× 83 0.8× 31 0.3× 32 685
Yun Jae Chung 402 1.3× 36 0.3× 67 0.6× 180 1.7× 49 0.5× 54 689
Ye An Kim 349 1.2× 37 0.3× 96 0.9× 161 1.5× 67 0.7× 40 669
Yoriko Murata 136 0.4× 32 0.3× 42 0.4× 64 0.6× 114 1.2× 44 645

Countries citing papers authored by NORIO YOSHIKAWA

Since Specialization
Citations

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

Fields of papers citing papers by NORIO YOSHIKAWA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of NORIO YOSHIKAWA

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

All Works

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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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2026