Hideaki Abe
Impact in
- Paleontology top 10%
- Evolution and Paleontology Studies
- Immunology top 10%
- Toxin Mechanisms and Immunotoxins
Papers in
-
- Genomics and Phylogenetic Studies 4
- Immunology 15
- Toxin Mechanisms and Immunotoxins 8
- Co-authors
- Norihiro Okada (3 shared papers)Kazuhiko Ohshima (2 shared papers)Mitsuru Shimamura (2 shared papers)Mutsuo Goto (2 shared papers)Sei-ichi Tanuma (16 shared papers)Hidehiro Kato (1 shared paper)Isao Munechika (1 shared paper)Hiroshi Yasue (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Bioorganic & Medicinal Chemistry (3 papers)Archives of Biochemistry and Biophysics (2 papers)Neurologia medico-chirurgica (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
Hideaki Abe
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Paleontology 96
- Immunology 199
- Physiology 43
- Genetics 82
- Genetics 224
Countries citing papers authored by Hideaki Abe
This map shows the geographic impact of Hideaki Abe'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 Hideaki Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Abe more than expected).
Fields of papers citing papers by Hideaki Abe
This network shows the impact of papers produced by Hideaki Abe. 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 Hideaki Abe. The network helps show where Hideaki Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideaki Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 310 | |
| 2 | 1999 | 79 | |
| 3 | 1992 | 58 | |
| 4 | 2014 | 44 | |
| 5 | 1993 | 38 | |
| 6 | 2016 | 36 | |
| 7 | 2001 | 33 | |
| 8 | 2020 | 31 | |
| 9 | 1998 | 31 | |
| 10 | 1993 | 30 | |
| 11 | 2022 | 30 | |
| 12 | 2019 | 29 | |
| 13 | 2018 | 26 | |
| 14 | 2006 | 23 | |
| 15 | 2013 | 22 | |
| 16 | 2017 | 21 | |
| 17 | 2016 | 21 | |
| 18 | 2013 | 19 | |
| 19 | 2003 | 17 | |
| 20 | 2014 | 17 |
About Hideaki Abe
Hideaki Abe is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Genetics, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (10 papers), Toxin Mechanisms and Immunotoxins (8 papers), melanin and skin pigmentation (5 papers), Genetic diversity and population structure (5 papers), Advanced Glycation End Products research (5 papers), Glioma Diagnosis and Treatment (5 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Paleontology (96 citations), Immunology (199 citations), Physiology (43 citations), Genetics (82 citations) and Genetics (224 citations). Hideaki Abe has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Norihiro Okada, Kazuhiko Ohshima, Mitsuru Shimamura, Mutsuo Goto, Sei-ichi Tanuma, Hidehiro Kato, Isao Munechika, Hiroshi Yasue, Toshiya Kishiro and Atsushi Yoshimori. Their work appears in journals such as Biochemical and Biophysical Research Communications, Bioorganic & Medicinal Chemistry, Archives of Biochemistry and Biophysics, Neurologia medico-chirurgica and Journal of Biological Chemistry.
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.