Akira Harashima

833 total citations
37 papers, 574 citations indexed

About

Akira Harashima is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Akira Harashima has authored 37 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 13 papers in Molecular Biology and 8 papers in Hematology. Recurrent topics in Akira Harashima's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Akira Harashima is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Akira Harashima collaborates with scholars based in Japan, Germany and Netherlands. Akira Harashima's co-authors include Shuji Nakamura, Mayuko Yamamoto, Masayoshi Kibata, Fumiyuki Yamasaki, Motoyuki Suzuki, Kazue Tsuji‐Takayama, Kunzo Orita, Yoshinobu Matsuo, Takeshi Otani and Ryuichi Motoda and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Akira Harashima

37 papers receiving 562 citations

Peers

Akira Harashima
Comparison fields: 5 of 84
  • Immunology 256
  • Molecular Biology 243
  • Oncology 100
  • Hematology 84
  • Cancer Research 79
Replace Gang Xiao with:
Gang Xiao United States
G. J. de Jongh Netherlands
Alexander Watson United Kingdom
Eric Sekyere Australia
Clare Dempsey United Kingdom
Kakushi Matsushita Japan
Mary Crainie Canada
Aaron McCarty United States
Steffen Junker Denmark
Tamara Girbl Austria
Gang Xiao United States View profile →
Citations per field, relative to Akira Harashima
Akira Harashima · 1×
Citations per year, relative to Akira Harashima
Akira Harashima · 1×

Countries citing papers authored by Akira Harashima

Since Specialization
Citations

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

Fields of papers citing papers by Akira Harashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Harashima

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 42
2 4
3 4
4 46
5 14
6 77
7 3
8 8
9 26
10 19
11 19
12 5
13 24
14 15
15 9
16 38
17 48
18 8
19 9
20 11

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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