S Waga

7.1k citations
78 papers · 5.9k indexed · 3 hit papers · h-index 30
  • Oncology top 1%
    • Cancer-related Molecular Pathways 7
    • DNA Repair Mechanisms 21
    • Genomics and Chromatin Dynamics 10
    • Epigenetics and DNA Methylation 7
    • Carcinogens and Genotoxicity Assessment 7
  • Neurology top 2%
    • Intracranial Aneurysms: Treatment and Complications 12
    • Vascular Malformations Diagnosis and Treatment 11
    • Neurosurgical Procedures and Complications 6

S Waga

77 papers receiving 5.7k citations

Hit Papers

THE DNA REPLICATION FORK IN EUKARYOTIC CELLS66719942026200420154008001.2k

Peers

S Waga
Comparison fields: 5 of 122
  • Oncology 2.0k
  • Molecular Biology 4.0k
  • Cancer Research 567
  • Neurology 524
  • Cell Biology 516
Replace A Minty with:
A Minty France
Parkash S. Gill United States
Ernest S. Kawasaki United States
Shingo Fujii Japan
A F Purchio United States
Charles D. Scher United States
Nobuo Hanai Japan
M. Duchrow Germany
Jason C. Mills United States
Ashley R. Dunn Australia
S Waga relative to A Minty France A Minty's profile →
Citations per field
00.5×3.4×
A Minty · 1×
Citations per year

Countries citing papers authored by S Waga

Since Specialization
Citations

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

Fields of papers citing papers by S Waga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside S Waga, 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 S Waga Line = papers co-authored together S Waga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202313
2 201110
3 201077
4 20095
5 200717
6 200619
7 20067
8 200464
9 20014
10 20014
11 1999188
12 19955
13
Differential effects by the p21 CDK inhibitor on PCNA-dependent DNA replication and repairbreakdown →
1994567
14 198921
15 198894
16 198826
17 198114
18 198118
19
Massive hemorrhage in tumor of tuberous sclerosis.
197743
20
Dural arteriovenous malformation in the anterior fossa.
197732

About S Waga

S Waga is a scholar working on Neurology, Molecular Biology and Oncology, having authored 78 papers that have together received 5.9k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (21 papers), Intracranial Aneurysms: Treatment and Complications (12 papers), Vascular Malformations Diagnosis and Treatment (11 papers), Genomics and Chromatin Dynamics (10 papers), Cancer-related Molecular Pathways (7 papers), Carcinogens and Genotoxicity Assessment (7 papers), Epigenetics and DNA Methylation (7 papers) and Neurosurgical Procedures and Complications (6 papers). The work is most often cited by research in Oncology (2.0k citations), Molecular Biology (4.0k citations) and Cancer Research (567 citations). S Waga has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Bruce Stillman, David Beach, Gregory J. Hannon, Glenn A. Bauer, Rong Li, Shigeki Mizuno, Hajime Handa, Jens Oliver Funk, Jo Beth Harry and Erik Espling. Their work appears in journals such as Journal of Biological Chemistry, Stroke, Neuroradiology, Nature and Acta Neurochirurgica.

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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