Robert K. Bright

2.0k citations
62 papers · 1.6k · h-index 22

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
  • Oncology top 5%
    • Polyomavirus and related diseases

Papers in

    • Immunotherapy and Immune Responses 28
    • T-cell and B-cell Immunology 6
    • RNA Interference and Gene Delivery 7
    • vaccines and immunoinformatics approaches 6

Robert K. Bright

62 papers receiving 1.5k citations

Peers

Robert K. Bright
Comparison fields: 5 of 97
  • Immunology 486
  • Oncology 437
  • Cancer Research 183
  • Biotechnology 101
  • Pulmonary and Respiratory Medicine 310
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Citations per field
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Citations per year

Countries citing papers authored by Robert K. Bright

Since Specialization
Citations

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

Fields of papers citing papers by Robert K. Bright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert K. Bright. 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 Robert K. Bright. The network helps show where Robert K. Bright may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999279
2
Generation and genetic characterization of immortal human prostate epithelial cell lines derived from primary cancer specimens.
1997121
3 200287
4 199460
5 200755
6 201454
7 200853
8 201450
9
Protection against a lethal challenge with SV40-transformed cells by the direct injection of DNA-encoding SV40 large tumor antigen.
199648
10 199944
11 199441
12 200340
13 200438
14 200133
15 201332
16 201531
17 200031
18 200231
19 201828
20 200027

About Robert K. Bright

Robert K. Bright is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (28 papers), Virus-based gene therapy research (10 papers), Polyomavirus and related diseases (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), RNA Interference and Gene Delivery (7 papers), Bacteriophages and microbial interactions (7 papers), T-cell and B-cell Immunology (6 papers) and vaccines and immunoinformatics approaches (6 papers). The work is most often cited by research in Immunology (486 citations), Oncology (437 citations), Cancer Research (183 citations), Biotechnology (101 citations) and Pulmonary and Respiratory Medicine (310 citations). Robert K. Bright has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Michael H. Shearer, Jennifer A. Byrne, Harvey I. Pass, Ronald C. Kennedy, Gregory P. Kalemkerian, R C Kennedy, Viji Shridhar, Yoh Watanabe, Wei Du and Yoshihiro Ohta. Their work appears in journals such as Cancer Immunology Immunotherapy, Human Vaccines & Immunotherapeutics, Journal of Virology, Cancer and Clinical & Experimental Immunology.

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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