Jun Sunayama

1.8k citations
12 papers · 1.5k · h-index 10

Impact in

Papers in

    • Cell death mechanisms and regulation 4
    • DNA Repair Mechanisms 2
    • Ubiquitin and proteasome pathways 2
    • FOXO transcription factor regulation 2
    • Melanoma and MAPK Pathways 2
    • PARP inhibition in cancer therapy 2

Jun Sunayama

12 papers receiving 1.5k citations

Peers

Jun Sunayama
Comparison fields: 5 of 89
  • Aging 58
  • Genetics 171
  • Molecular Biology 1.1k
  • Cancer Research 216
  • Geriatrics and Gerontology 36
Replace Margaret A. Lawlor with:
Margaret A. Lawlor United Kingdom
Prashanth T. Bhaskar United States
Véronique Gire France
Kathrin Gottlob United States
Josep Maria Peralba Spain
Candace A. Gilbert United States
Kristin Breitschopf Germany
Daniel Tondera United States
Sizhen Gao United States
Chibo Hong United States
Jun Sunayama relative to Margaret A. Lawlor United Kingdom Margaret A. Lawlor's profile →
Citations per field
00.5×2.6×
Margaret A. Lawlor · 1×
Citations per year

Countries citing papers authored by Jun Sunayama

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sunayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Sunayama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Sunayama Line = papers co-authored together Jun Sunayama links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2004461
2 2005280
3 2010182
4 2012163
5 201191
6 201191
7 201080
8 200464
9 201061
10 201039
11 20023
12 20081

About Jun Sunayama

Jun Sunayama is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Developmental Neuroscience, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Glioma Diagnosis and Treatment (3 papers), PARP inhibition in cancer therapy (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), FOXO transcription factor regulation (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Aging (58 citations), Genetics (171 citations), Molecular Biology (1.1k citations), Cancer Research (216 citations) and Geriatrics and Gerontology (36 citations). Jun Sunayama has collaborated with scholars based in Japan. Frequent co-authors include Yukiko Gotoh, Norihisa Masuyama, Fuminori Tsuruta, Chifumi Kitanaka, Takamasa Kayama, Arata Tomiyama, Yasunori Mori, Katsuji Yoshioka, Shigeomi Shimizu and Seisuke Hattori. Their work appears in journals such as Stem Cells, Biochemical and Biophysical Research Communications, Neuro-Oncology, Stem Cells Translational Medicine and The EMBO Journal.

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.

Explore authors with similar magnitude of impact