Jun Hayakawa

4.2k citations
115 papers · 3.5k indexed · h-index 32
Topics
Immunotherapy and Immune Responses (9 papers)Estrogen and related hormone effects (7 papers)Virus-based gene therapy research (7 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Jun Hayakawa

107 papers receiving 3.4k citations

Peers

Jun Hayakawa
Comparison fields: 5 of 137
  • Molecular Biology 1.7k
  • Oncology 516
  • Genetics 496
  • Immunology 490
  • Physiology 422
Replace Yusuke Kobayashi with:
Yusuke Kobayashi Japan
Ryohei Katoh Japan
Shohei Yamashina Japan
Pnina Fishman Israel
Anna Batistatou Greece
Igor Buchwalow Germany
H. Gregory United Kingdom
Robin Plevin United Kingdom
Satoshi Matsuda Japan
Raj Kishore United States
Jun Hayakawa relative to Yusuke Kobayashi Japan Yusuke Kobayashi's profile →
Citations per field
00.5×1.5×2.1×
Yusuke Kobayashi · 1×
Citations per year

Countries citing papers authored by Jun Hayakawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hayakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Hayakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hayakawa. A scholar is included among the top collaborators of Jun Hayakawa 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 Jun Hayakawa. Jun Hayakawa 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 2
3 4
4 0
5 35
6 1
7 20
8 134
9 3
10
Analysis of Resistance-Related Gene Expression in Doxorubicin-Resistant Leukemia Cell Line by DNA Microarray
2
11 14
12 3
13 41
14 78
15 160
16 5
17 7
18
[Periodic sublingual buprenorphine for pain relief after upper abdominal surgery].
3
19 14
20 13

About Jun Hayakawa

Jun Hayakawa is a scholar working on Hematology, Genetics and Immunology and Allergy, having authored 115 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Estrogen and related hormone effects (7 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Dermatology (312 citations), Reproductive Medicine (253 citations) and Immunology and Allergy (164 citations). Jun Hayakawa has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Masahide Ohmichi, Yuji Murata, Keiichi Tasaka, Tetsuo Shiohara, Hirohisa Kurachi, Koji Hisamoto, Yukihiro Nishio, Dan Mercola, Kazushige Adachi and Yuki Kanda. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.

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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