Hirobumi Teraoka

3.7k citations
109 papers · 3.0k indexed · h-index 32
Topics
DNA Repair Mechanisms (38 papers)DNA and Nucleic Acid Chemistry (18 papers)Cancer-related Molecular Pathways (14 papers)

In The Last Decade

Hirobumi Teraoka

108 papers receiving 2.9k citations

Peers

Hirobumi Teraoka
Comparison fields: 5 of 104
  • Molecular Biology 2.4k
  • Oncology 655
  • Surgery 490
  • Hepatology 417
  • Cancer Research 300
Replace Yutaka Tsukada with:
Yutaka Tsukada Japan
Fernando Vidal‐Vanaclocha Spain
Ning Ren China
Kazuki Nakatani Japan
A. R. Moossa United States
Douglas C. Hixson United States
Wen Yang China
Kinji Asahina Japan
Jung Young Lee South Korea
Andrei V. Bakin United States
Hirobumi Teraoka relative to Yutaka Tsukada Japan Yutaka Tsukada's profile →
Citations per field
00.5×4.2×
Yutaka Tsukada · 1×
Citations per year

Countries citing papers authored by Hirobumi Teraoka

Since Specialization
Citations

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

Fields of papers citing papers by Hirobumi Teraoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hirobumi Teraoka

This figure shows the co-authorship network connecting the top 25 collaborators of Hirobumi Teraoka. A scholar is included among the top collaborators of Hirobumi Teraoka 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 Hirobumi Teraoka. Hirobumi Teraoka 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 25
2
Hepatic stellate cells mediate differentiation of dendritic cells from monocytes.
2
3 33
4 2
5 20
6 13
7 13
8 10
9 18
10 86
11 29
12 21
13 22
14 11
15 13
16 37
17
Hypomutability by y-rays of thymic lymphoma cells derived from a SCID mouse
1
18 32
19 28
20 13

About Hirobumi Teraoka

Hirobumi Teraoka is a scholar working on Hepatology, Molecular Biology and Oncology, having authored 109 papers that have together received 3.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (38 papers), DNA and Nucleic Acid Chemistry (18 papers) and Cancer-related Molecular Pathways (14 papers). The work is most often cited by research in Hepatology (417 citations), Molecular Biology (2.4k citations) and Oncology (655 citations). Hirobumi Teraoka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kinji Tsukada, Kinji Asahina, Keiko Shimizu‐Saito, Kozo Takase, Kenichi Teramoto, Shigeki Arii, Gensaku Okada, Ryo Sakasai, Yujiro Tanaka and Fumiaki Watanabe. Their work appears in journals such as Journal of the American Chemical Society, 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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