Brad Efron

3.7k citations
6 papers · 1.9k · 1 hit paper · h-index 6

Impact in

    • Tuberculosis Research and Epidemiology
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions
  • Virology top 10%
    • HIV Research and Treatment

Papers in

Brad Efron

6 papers receiving 1.8k citations

Brad Efron's Hit Papers

Transcriptional Adaptation of Mycobacterium tuberculosis within Macrophages 2003 · 1.2k citations
1.2k0+7+15Years since publication4008001.2k

Peers

Brad Efron
Comparison fields: 5 of 74
  • Infectious Diseases 1.4k
  • Virology 66
  • Nutrition and Dietetics 76
  • Genetics 158
  • Molecular Biology 240
Replace Susanne Rauch with:
Susanne Rauch Germany
Keming Yu United States
Kaitlin Schaefer United States
Deena A. Oren United States
Stefan Taube Germany
Yan‐Dong Tang China
Kristine Hagens Germany
Xue Hu China
Jim Sun Canada
Paul J. Converse United States
Brad Efron relative to Susanne Rauch Germany Susanne Rauch's profile →
Citations per field
00.5×2×4×5.9×
Susanne Rauch · 1×
Citations per year

Countries citing papers authored by Brad Efron

Since Specialization
Citations

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

Fields of papers citing papers by Brad Efron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Brad Efron, 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 Brad Efron Line = papers co-authored together Brad Efron links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Transcriptional Adaptation of Mycobacterium tuberculosis within Macrophages
Hit paper breakdown →
20031204
2 2005254
3 1999194
4 200299
5 200187
6 199460

About Brad Efron

Brad Efron is a scholar working on Infectious Diseases, Nutrition and Dietetics, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (3 papers), Gene expression and cancer classification (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Infant Nutrition and Health (1 paper). The work is most often cited by research in Infectious Diseases (1.4k citations), Virology (66 citations), Nutrition and Dietetics (76 citations), Genetics (158 citations) and Molecular Biology (240 citations). Brad Efron has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Martin I. Voskuil, Joseph A. Mangan, Dirk Schnappinger, Yang Liu, Gregory Dolganov, Irene M. Monahan, Carl Nathan, Philip D. Butcher, Gary K. Schoolnik and Sabine Ehrt. Their work appears in journals such as Annals of Internal Medicine, The Journal of Experimental Medicine, Journal of Pediatric Surgery, PLoS Medicine and Statistical Applications in Genetics and Molecular Biology.

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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