Stephen Chanock

528 citations
10 papers · 266 indexed · h-index 8
Topics
Nutrition, Genetics, and Disease (2 papers)Genetic Associations and Epidemiology (2 papers)DNA Repair Mechanisms (2 papers)

In The Last Decade

Stephen Chanock

10 papers receiving 260 citations

Peers

Stephen Chanock
Comparison fields: 5 of 52
  • Molecular Biology 135
  • Oncology 76
  • Cancer Research 58
  • Pulmonary and Respiratory Medicine 53
  • Rheumatology 47
Replace Shane G. Supple with:
Shane G. Supple Australia
Shaopeng Qiu China
Ekaterina A. Alekseeva Russia
Mihály Bak Hungary
Kazuhiko Orikasa Japan
Aparna Pallavajjalla United States
Weiying Gu China
Pierre–Olivier Schischmanoff France
Ai‐Min Xu China
Laura Davico Italy
Stephen Chanock relative to Shane G. Supple Australia Shane G. Supple's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Stephen Chanock

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Chanock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Chanock

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Chanock. A scholar is included among the top collaborators of Stephen Chanock 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 Stephen Chanock. Stephen Chanock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 23
2 36
3 11
4 42
5 57
6
Polymorphisms in DNA repair genes and risk of non-Hodgkin lymphoma among women in Connecticut
1
7 56
8
Polymorphism in the trifunctional enzyme coding gene MTHFD1 and the risk of stomach cancer
1
9 28
10 11

About Stephen Chanock

Stephen Chanock is a scholar working on Biochemistry, Genetics and Rheumatology, having authored 10 papers that have together received 266 indexed citations. Recurring topics across this work include Nutrition, Genetics, and Disease (2 papers), Genetic Associations and Epidemiology (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (58 citations), Rheumatology (47 citations) and Oncology (76 citations). Stephen Chanock has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Meredith Yeager, Sonja I. Berndt, Peter Boyle, Khan Ma, Brian P. Leaderer, Lindsey Enewold, Sophia Wang, Theodore R. Holford, Curtis C. Harris and Laurie Burdette. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Clinical Cancer Research.

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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