Robert M. Snapka

1.8k citations
44 papers · 1.5k · h-index 22

Impact in

Papers in

    • Cancer therapeutics and mechanisms 23
    • DNA Repair Mechanisms 9
    • DNA and Nucleic Acid Chemistry 5
    • Polyomavirus and related diseases 15
    • Lung Cancer Research Studies 5

Robert M. Snapka

44 papers receiving 1.5k citations

Peers

Robert M. Snapka
Comparison fields: 5 of 93
  • Toxicology 156
  • Geriatrics and Gerontology 87
  • Oncology 443
  • Molecular Biology 1.1k
  • Organic Chemistry 308
Replace Luisa Dusonchet with:
Luisa Dusonchet Italy
Xuben Hou China
Daniel Dauzonne France
Anindya Goswami India
Arunasree M. Kalle India
Adorján Aszalós United States
M.R. Boyd United States
George R. Pettit United States
Zhenjiang Zhao China
Athanasios Papakyriakou Greece
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Citations per field
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Citations per year

Countries citing papers authored by Robert M. Snapka

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Snapka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Snapka. 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 Robert M. Snapka. The network helps show where Robert M. Snapka may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998223
2 1986120
3 199986
4 200174
5 198873
6 199465
7 199964
8 198664
9 199756
10 200956
11 198349
12
Chloroquinoxaline sulfonamide (NSC 339004) is a topoisomerase IIalpha/beta poison.
200040
13 200338
14 198037
15 199031
16 199429
17 199029
18 198829
19 199128
20 201327

About Robert M. Snapka

Robert M. Snapka is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Ecology and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (23 papers), Polyomavirus and related diseases (15 papers), DNA Repair Mechanisms (9 papers), Synthesis and Biological Evaluation (5 papers), Lung Cancer Research Studies (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Bacteriophages and microbial interactions (4 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Toxicology (156 citations), Geriatrics and Gerontology (87 citations), Oncology (443 citations), Molecular Biology (1.1k citations) and Organic Chemistry (308 citations). Robert M. Snapka has collaborated with scholars based in United States, Saudi Arabia and Egypt. Frequent co-authors include John M. Cassady, Sung Ho Woo, Nan Sun, Paskasari A. Permana, Edith F. Yamasaki, Cha‐Gyun Shin, Kenneth K. Chan, Linus L. Shen, Hanlin Gao and Alexander Varshavsky. Their work appears in journals such as Biochemistry, Biochemical Pharmacology, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and Biochemical and Biophysical Research Communications.

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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