Sho Hangai

1.8k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Sho Hangai is a scholar working on Immunology, Oncology and Cancer Research. According to data from OpenAlex, Sho Hangai has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Sho Hangai's work include Immune Response and Inflammation (10 papers), Immune cells in cancer (6 papers) and interferon and immune responses (5 papers). Sho Hangai is often cited by papers focused on Immune Response and Inflammation (10 papers), Immune cells in cancer (6 papers) and interferon and immune responses (5 papers). Sho Hangai collaborates with scholars based in Japan, Italy and Germany. Sho Hangai's co-authors include Hideyuki Yanai, Tadatsugu Taniguchi, Hideo Negishi, Tomohiko Tamura, Yoshitaka Kimura, Takeshi Kawamura, Tatsuhiko Kodama, Junko Nishio, Yan Lu and Tatsuma Ban and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Immunology.

In The Last Decade

Sho Hangai

18 papers receiving 1.3k citations

Hit Papers

HMGB proteins function as universal sentinels for nucleic... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers

Sho Hangai
Comparison fields: 5 of 90
  • Immunology 845
  • Molecular Biology 478
  • Oncology 218
  • Clinical Biochemistry 184
  • Epidemiology 148
Ryuji Koshiba Japan
Junko Nishio Japan
Ana‐Maria Dragoi United States
Wen-Ming Chu United States
Irina N. Baranova United States
Brett A. Duguay Canada
Guangyong Sun China
Koji Ohashi Japan
Beth Lipton United States
Maria Pierdomenico Italy
Ryuji Koshiba Japan View profile →
Citations per field, relative to Sho Hangai
Sho Hangai · 1×
Citations per year, relative to Sho Hangai
Sho Hangai · 1×

Countries citing papers authored by Sho Hangai

Since Specialization
Citations

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

Fields of papers citing papers by Sho Hangai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sho Hangai

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 33
2 46
3 9
4 7
5 13
6 18
7 15
8 6
9 86
10 129
11 90
12 4
13 15
14 6
15 158
16 15
17
HMGB proteins function as universal sentinels for nucleic-acid-mediated innate immune responses breakdown →
548
18 98

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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