Shoko Nakajima

485 citations
19 papers · 390 indexed · h-index 11
Topics
Antiplatelet Therapy and Cardiovascular Diseases (4 papers)Autoimmune and Inflammatory Disorders Research (4 papers)Inflammatory Myopathies and Dermatomyositis (4 papers)
Partner nations
Japan

In The Last Decade

Shoko Nakajima

19 papers receiving 379 citations

Peers

Shoko Nakajima
Comparison fields: 5 of 72
  • Epidemiology 107
  • Hematology 83
  • Molecular Biology 77
  • Rheumatology 68
  • Infectious Diseases 67
Replace Yasuji Inamo with:
Yasuji Inamo Japan
Martin L.J. Wimmer Germany
Ünal Uluca Türkiye
Ayhan Dağdemir Türkiye
Klaus Thornberg Denmark
Manivannan Srinivasan United Kingdom
Najma Ahmed Canada
Shihab A. Al-Mashhadani Saudi Arabia
A M Leak United Kingdom
Mehmet Cindoruk Türkiye
Shoko Nakajima relative to Yasuji Inamo Japan Yasuji Inamo's profile →
Citations per field
00.5×1.5×
Yasuji Inamo · 1×
Citations per year

Countries citing papers authored by Shoko Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Shoko Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoko Nakajima

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 13
2 20
3 23
4 40
5 3
6 21
7 14
8 18
9 22
10 5
11 9
12
HLA-DRB1*15021 is the predominant allele in Japanese patients with juvenile dermatomyositis.
8
13
[Effects of therapies on childhood systemic lupus erythematosus].
1
14 90
15 22
16 9
17 64
18 5
19
Natural History of Cri-du-chat Syndrome
3

About Shoko Nakajima

Shoko Nakajima is a scholar working on Hematology, Internal Medicine and Rheumatology, having authored 19 papers that have together received 390 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Inflammatory Myopathies and Dermatomyositis (4 papers). The work is most often cited by research in Hematology (83 citations), Internal Medicine (18 citations) and Rheumatology (68 citations). Shoko Nakajima has collaborated with scholars based in Japan. Frequent co-authors include Shumpei Yokota, Takako Miyamae, Masaaki Mori, Tomoyuki Imagawa, Takuya Naruto, Shuichi Ito, Atsuo Nezu, Shigeru Nishimaki, Sadahiro Watanabe and Junji Seki. Their work appears in journals such as PLoS ONE, Journal of Applied Physiology and Cytokine.

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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