Chris Bryant

1.5k citations
23 papers · 1.0k · h-index 15

Impact in

Papers in

    • Signaling Pathways in Disease 3
    • DNA Repair Mechanisms 3
    • Epigenetics and DNA Methylation 2
    • Cancer-related Molecular Pathways 3
    • Peptidase Inhibition and Analysis 3
    • Global Cancer Incidence and Screening 2

Chris Bryant

23 papers receiving 977 citations

Peers

Chris Bryant
Comparison fields: 5 of 130
  • Genetics 168
  • Molecular Medicine 47
  • Hematology 102
  • Molecular Biology 593
  • Oncology 227
Replace Alex Matter with:
Alex Matter Switzerland
Casey Beppler United States
Rinku Jain United States
Daniela Schilling Germany
Tanja Musch Germany
Eva María Galán‐Moya Spain
Denise K. Walters United States
Lise Lotte Hansen Denmark
Hiroko Endo Japan
Victoria Del Gaizo Moore United States
Chris Bryant relative to Alex Matter Switzerland Alex Matter's profile →
Citations per field
00.5×5.9×
Alex Matter · 1×
Citations per year

Countries citing papers authored by Chris Bryant

Since Specialization
Citations

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

Fields of papers citing papers by Chris Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003181
2 2019116
3 201480
4 200973
5 201069
6 201767
7 201466
8 201465
9 200154
10 199746
11 201544
12 201443
13 201143
14 201430
15 201718
16 20244
17 20173
18 20113
19 20152
20 20181

About Chris Bryant

Chris Bryant is a scholar working on Molecular Biology, Oncology, Cell Biology, Sociology and Political Science and Epidemiology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (3 papers), Cancer-related Molecular Pathways (3 papers), DNA Repair Mechanisms (3 papers), Climate Change Communication and Perception (3 papers), Peptidase Inhibition and Analysis (3 papers), Epigenetics and DNA Methylation (2 papers), Microtubule and mitosis dynamics (2 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Genetics (168 citations), Molecular Medicine (47 citations), Hematology (102 citations), Molecular Biology (593 citations) and Oncology (227 citations). Chris Bryant has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew J. Massey, Susan M. Stocklmayer, Gregory M. Vercellotti, John C. Bischof, Paul R. Bowlin, Robert P. Hebbel, Julia Nguyen, John D. Belcher, Christopher J. Caunt and Theresa Swift‐Scanlan. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, BMC Cell Biology, Nature Genetics and British Journal of Cancer.

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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