Daniel Bradshaw

2.5k citations
14 papers · 134 · h-index 7

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 4
    • Galectins and Cancer Biology 1
    • Toxin Mechanisms and Immunotoxins 1
    • Hepatitis C virus research 4

Daniel Bradshaw

13 papers receiving 132 citations

Peers

Daniel Bradshaw
Comparison fields: 5 of 39
  • Hepatology 49
  • Immunology 38
  • Infectious Diseases 25
  • Epidemiology 33
  • Virology 3
Replace Benedikt Binder with:
Benedikt Binder Germany
Sebastiaan Hullegie Netherlands
Helenie Kefalakes Germany
M. Aragri Italy
Dorota Dybowska Poland
Noriyasu Taya Japan
Joana Azevedo Portugal
Francesco Marincola United States
Brian Muchmore United States
Christabel Kelly United States
Daniel Bradshaw relative to Benedikt Binder Germany Benedikt Binder's profile →
Citations per field
00.5×1.5×2.1×
Benedikt Binder · 1×
Citations per year

Countries citing papers authored by Daniel Bradshaw

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bradshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200326
2 201823
3 201917
4 202014
5 201913
6 200112
7 20197
8 20036
9 20035
10 20214
11 20024
12 20032
13 20191
14 20250

About Daniel Bradshaw

Daniel Bradshaw is a scholar working on Immunology, Hepatology, Molecular Biology, Epidemiology and Infectious Diseases, having authored 14 papers that have together received 134 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers), Hepatitis C virus research (4 papers), Cancer Genomics and Diagnostics (1 paper), Galectins and Cancer Biology (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Hepatology (49 citations), Immunology (38 citations), Infectious Diseases (25 citations), Epidemiology (33 citations) and Virology (3 citations). Daniel Bradshaw has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Ivana Beatrice Mânica da Cruz, Carmen F. Manso, Jean L. Mbisa, David Bibby, Noriko Steiner, J. Ng, Carolyn Katovich Hurley, AK Sullivan, Neil Turner and Robert J. Hartzman. Their work appears in journals such as Clinical Microbiology and Infection, Journal of the International AIDS Society, Genes and Immunity, Current Opinion in HIV and AIDS and Journal of Infection.

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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