Kunio Hieshima

8.3k citations
69 papers · 6.8k indexed · 1 hit paper · h-index 36
Topics
Chemokine receptors and signaling (18 papers)Immune Cell Function and Interaction (17 papers)T-cell and B-cell Immunology (16 papers)

In The Last Decade

Kunio Hieshima

67 papers receiving 6.7k citations

Hit Papers

Identification and Molecular Characterization of Fractalk...199720262006201619972505007501000

Peers

Kunio Hieshima
Comparison fields: 5 of 117
  • Immunology 4.5k
  • Oncology 3.0k
  • Molecular Biology 1.2k
  • Epidemiology 557
  • Immunology and Allergy 545
Replace Achsah Keegan with:
Achsah Keegan United States
Muneo Inaba Japan
Kim L. Stocking United States
Judith G. Giri United States
Michael D. Gunn United States
David C. Wraith United Kingdom
Shixin Qin United States
Dévora L. Rossi United States
Benoı̂t L. Salomon France
Hisayuki Nomiyama Japan
Kunio Hieshima relative to Achsah Keegan United States Achsah Keegan's profile →
Citations per field
00.5×1.5×
Achsah Keegan · 1×
Citations per year

Countries citing papers authored by Kunio Hieshima

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Hieshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunio Hieshima

This figure shows the co-authorship network connecting the top 25 collaborators of Kunio Hieshima. A scholar is included among the top collaborators of Kunio Hieshima 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 Kunio Hieshima. Kunio Hieshima 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
#WorkIndexed citations
1 2
2 0
3 2
4 0
5 22
6 18
7 75
8 43
9 1
10 112
11 31
12 64
13 32
14 202
15 205
16 260
17 350
18 156
19 47
20 10

About Kunio Hieshima

Kunio Hieshima is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 69 papers that have together received 6.8k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (18 papers), Immune Cell Function and Interaction (17 papers) and T-cell and B-cell Immunology (16 papers). The work is most often cited by research in Immunology (4.5k citations), Oncology (3.0k citations) and Immunology and Allergy (545 citations). Kunio Hieshima has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Osamu Yoshie, Hisayuki Nomiyama, Toshio Imai, Takashi Nakayama, Mayumi Kakizaki, Miyuki Nishimura, Masataka Baba, Shin Takagi, Morio Nagira and Dai Izawa. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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