Chris Bryant

1.6k citations
24 papers · 1.2k · h-index 16

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Evolution and Genetic Dynamics
    • Cancer Genomics and Diagnostics

Papers in

    • Signaling Pathways in Disease 3
    • Epigenetics and DNA Methylation 2
    • DNA Repair Mechanisms 2
    • Melanoma and MAPK Pathways 2
    • Ubiquitin and proteasome pathways 2
    • CRISPR and Genetic Engineering 1
    • Peptidase Inhibition and Analysis 3

Chris Bryant

24 papers receiving 1.1k citations

Peers

Chris Bryant
Comparison fields: 5 of 130
  • Genetics 164
  • Cancer Research 142
  • Oncology 242
  • Molecular Biology 662
  • Hematology 103
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Citations per field
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003193
2 2019127
3 201490
4 201079
5 200979
6 202076
7 201474
8 201769
9 201468
10 200166
11 201146
12 199746
13 201546
14 201446
15 201435
16 201718
17 202412
18 20173
19 20151
20 19631

About Chris Bryant

Chris Bryant is a scholar working on Molecular Biology, Oncology, Cell Biology, Architecture and Museology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Climate Change Communication and Perception (3 papers), Signaling Pathways in Disease (3 papers), Peptidase Inhibition and Analysis (3 papers), Epigenetics and DNA Methylation (2 papers), DNA Repair Mechanisms (2 papers), Melanoma and MAPK Pathways (2 papers), Ubiquitin and proteasome pathways (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Genetics (164 citations), Cancer Research (142 citations), Oncology (242 citations), Molecular Biology (662 citations) and Hematology (103 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, John C. Bischof, Julia Nguyen, John D. Belcher, Paul R. Bowlin, Robert P. Hebbel, Gregory M. Vercellotti, Christopher James Caunt and Pei Fen Kuan. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, International Journal of Science Education Part B, Biochemical Journal and Nature 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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