Sue Jinks-Robertson

7.8k citations
110 papers · 6.1k indexed · h-index 43
    • DNA Repair Mechanisms 92
    • Fungal and yeast genetics research 57
    • Genomics and Chromatin Dynamics 24
    • CRISPR and Genetic Engineering 18
    • Cancer therapeutics and mechanisms 13
    • RNA and protein synthesis mechanisms 13
    • Photosynthetic Processes and Mechanisms 10
    • Genetic factors in colorectal cancer 23
  • Genetics top 2%
  • Aging top 5%

Sue Jinks-Robertson

108 papers receiving 6.1k citations

Peers

Sue Jinks-Robertson
Comparison fields: 5 of 104
  • Molecular Biology 5.5k
  • Pathology and Forensic Medicine 1.0k
  • Cancer Research 846
  • Genetics 1.1k
  • Aging 59
Replace Eric Alani with:
Eric Alani United States
Randy J. Legerski United States
Andrei Chabes Sweden
Youri I. Pavlov United States
Alain Nicolas France
Judith L. Campbell United States
Wolfram Siede United States
Christopher W. Lawrence United States
Akio Sugino United States
Marc S. Wold United States
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Citations per field
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Citations per year

Countries citing papers authored by Sue Jinks-Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Sue Jinks-Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue Jinks-Robertson. 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 Sue Jinks-Robertson. The network helps show where Sue Jinks-Robertson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202329
3 20234
4 20233
5 202227
6 202117
7 202039
8 202020
9 201915
10 201811
11 201714
12 201611
13 20136
14 201138
15 200815
16 200738
17 200419
18 200275
19 199796
20 19894

About Sue Jinks-Robertson

Sue Jinks-Robertson is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 110 papers that have together received 6.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (92 papers), Fungal and yeast genetics research (57 papers), Genomics and Chromatin Dynamics (24 papers), Genetic factors in colorectal cancer (23 papers), CRISPR and Genetic Engineering (18 papers), Cancer therapeutics and mechanisms (13 papers), RNA and protein synthesis mechanisms (13 papers) and Photosynthetic Processes and Mechanisms (10 papers). The work is most often cited by research in Molecular Biology (5.5k citations), Pathology and Forensic Medicine (1.0k citations) and Cancer Research (846 citations). Sue Jinks-Robertson has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Brian D. Harfe, Nayun Kim, Abhijit Datta, Thomas D. Petes, Wenliang Chen, Christopher N. Greene, Serge Boiteux, Michio Nomura, Rachelle Miller Spell and Brenda K. Minesinger. Their work appears in journals such as Genetics, DNA repair, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and PLoS Genetics.

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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