A. Gregory Bruce

5.1k citations
60 papers · 4.0k · h-index 30

Impact in

Papers in

    • Viral-associated cancers and disorders 14
    • Cytokine Signaling Pathways and Interactions 5
    • RNA and protein synthesis mechanisms 7
    • RNA modifications and cancer 5

A. Gregory Bruce

60 papers receiving 3.8k citations

Peers

A. Gregory Bruce
Comparison fields: 5 of 166
  • Hepatology 338
  • Computer Vision and Pattern Recognition 653
  • Oncology 708
  • Signal Processing 248
  • Molecular Biology 1.5k
Replace David H. Mack with:
David H. Mack United States
Jane Fridlyand United States
Frederick Klauschen Germany
C. D. Bloomfield United States
M. A. Caligiuri United States
Donna K. Slonim United States
Mairi Clarke United Kingdom
Michelle Gaasenbeek United Kingdom
Tiancheng Li China
Hans A. Kestler Germany
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Citations per field
00.5×4.3×
David H. Mack · 1×
Citations per year

Countries citing papers authored by A. Gregory Bruce

Since Specialization
Citations

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

Fields of papers citing papers by A. Gregory Bruce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Gregory Bruce. 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 A. Gregory Bruce. The network helps show where A. Gregory Bruce may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007436
2 1980400
3 1991326
4 1978298
5 1997229
6
WAVESHRINK WITH FIRM SHRINKAGE
1997224
7 2001174
8 1997154
9 2000135
10 1996108
11 199698
12 198991
13 199280
14 199478
15 198273
16 200073
17 199672
18 200257
19 199255
20 198250

About A. Gregory Bruce

A. Gregory Bruce is a scholar working on Oncology, Molecular Biology, Computer Vision and Pattern Recognition, Epidemiology and Computational Mechanics, having authored 60 papers that have together received 4.0k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (14 papers), Image and Signal Denoising Methods (12 papers), RNA and protein synthesis mechanisms (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Herpesvirus Infections and Treatments (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cytomegalovirus and herpesvirus research (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Hepatology (338 citations), Computer Vision and Pattern Recognition (653 citations), Oncology (708 citations), Signal Processing (248 citations) and Molecular Biology (1.5k citations). A. Gregory Bruce has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Olke C. Uhlenbeck, Timothy M. Rose, Hong‐Ye Gao, Sylvain Sardy, Thomas E. England, Paul Tseng, P. Tseng, R. Douglas Martin, David L. Donoho and John W. Ludlow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Virology, Virology Journal, Veterinary Pathology and PLoS Pathogens.

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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