M Nakano

100 total papers · 1.4k total citations
49 papers, 642 citations indexed

About

M Nakano is a scholar working on Rheumatology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M Nakano has authored 49 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Rheumatology, 14 papers in Immunology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M Nakano's work include Systemic Lupus Erythematosus Research (12 papers), Systemic Sclerosis and Related Diseases (7 papers) and Renal Diseases and Glomerulopathies (7 papers). M Nakano is often cited by papers focused on Systemic Lupus Erythematosus Research (12 papers), Systemic Sclerosis and Related Diseases (7 papers) and Renal Diseases and Glomerulopathies (7 papers). M Nakano collaborates with scholars based in Japan, United States and United Kingdom. M Nakano's co-authors include Takeshi Kuroda, Masaaki Arakawa, Keishi Fujio, Fumitake Gejyo, Yukiko Iwasaki, Shinichi Nishi, Norimasa Tanabe, Toru Watanabe, Hajime Hasegawa and Morihisa Saeki and has published in prestigious journals such as Annals of the Rheumatic Diseases, Osteoporosis International and Urology.

In The Last Decade

M Nakano

48 papers receiving 624 citations

Author Peers

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

Author Last Decade Papers Cites
M Nakano 253 137 134 129 125 49 642
Döndü Üsküdar Cansu 283 1.1× 81 0.6× 157 1.2× 122 0.9× 165 1.3× 86 642
G Sakellariou 186 0.7× 95 0.7× 83 0.6× 67 0.5× 185 1.5× 54 716
Zheng Tang 183 0.7× 133 1.0× 121 0.9× 236 1.8× 174 1.4× 50 785
Zeynep Özbalkan 264 1.0× 85 0.6× 215 1.6× 136 1.1× 152 1.2× 35 790
Hiroe Sato 347 1.4× 188 1.4× 82 0.6× 58 0.4× 223 1.8× 60 767
Carsten Bramlage 112 0.4× 137 1.0× 102 0.8× 97 0.8× 120 1.0× 41 586
Philip Ruiz 151 0.6× 282 2.1× 260 1.9× 96 0.7× 103 0.8× 30 793
Chantal Bernard 141 0.6× 168 1.2× 73 0.5× 196 1.5× 143 1.1× 44 739
Branka Bonači‐Nikolić 283 1.1× 61 0.4× 214 1.6× 228 1.8× 132 1.1× 58 777
Jie Wen 135 0.5× 139 1.0× 114 0.9× 59 0.5× 124 1.0× 26 598

Countries citing papers authored by M Nakano

Since Specialization
Citations

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

Fields of papers citing papers by M Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of M Nakano. A scholar is included among the top collaborators of M Nakano 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 Nakano. M Nakano 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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