Motoki Nakamura

3.3k citations
93 papers · 2.4k indexed · h-index 25

Motoki Nakamura

89 papers receiving 2.4k citations

Peers

Motoki Nakamura
Comparison fields: 5 of 108
  • Hepatology 450
  • Immunology 906
  • Dermatology 225
  • Agronomy and Crop Science 212
  • Rheumatology 241
Replace Harold Dickensheets with:
Harold Dickensheets United States
Daniel B. Tumas United States
Cristina Maria Failla Italy
Takeshi Kondo Japan
Shimon Sakaguchi Japan
P C Familletti United States
Chang‐Sung Koh Japan
Sean E. Doyle United States
Xuyu Zhou China
Pierre Garrone France
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Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Motoki Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Motoki Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Motoki Nakamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Motoki Nakamura Line = papers co-authored together Motoki Nakamura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20241
5 20238
6 20237
7 202221
8 20216
9 20202
10 20153
11 201512
12 2014143
13 201110
14
Association of c.*372_815del443ins54 Polymorphism in the ARMS2 (LOC387715) Gene With Neovascular Age-Related Macular Degeneration (AMD) and Polypoidal Choroidal Vasculopathy (PCV) in a Japanese Population
20091
15
Coexistence of familial Mediterranean fever and Sjögren's syndrome in a Japanese patient.
200817
16 1998212
17 199612
18 1995250
19
[Pharmacokinetic and clinical study of cefpirome in children].
19911
20 1988162

About Motoki Nakamura

Motoki Nakamura is a scholar working on Dermatology, Immunology and Oncology, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include melanin and skin pigmentation (10 papers), T-cell and Retrovirus Studies (9 papers), Skin Protection and Aging (9 papers), Vector-Borne Animal Diseases (8 papers), Animal Disease Management and Epidemiology (8 papers), Cancer and Skin Lesions (7 papers), Diabetes and associated disorders (5 papers) and Liver Diseases and Immunity (5 papers). The work is most often cited by research in Hepatology (450 citations), Immunology (906 citations) and Dermatology (225 citations). Motoki Nakamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Abner Louis Notkins, Akimichi Morita, Shinji Shimoda, Samuele E. Burastero, Paolo Casali, Y Niho, Kentaro Hayashida, Hiromi Ishibashi, Eishi Baba and Yoshiyuki Niho. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

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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