David E. Tribe

71 papers receiving 2.9k citations

Peers

David E. Tribe
Comparison fields: 5 of 146
  • Clinical Biochemistry 336
  • Virology 233
  • Infectious Diseases 830
  • Biotechnology 260
  • Molecular Biology 1.6k
Replace George C. Stewart with:
George C. Stewart United States
Jörg Rau Germany
J. L. Johnson United States
Haizhou Liu China
Andreas Hensel Germany
François J. Picard Canada
Abigail A. Salyers United States
Ana Paula Guedes Frazzon Brazil
Narelle Fegan Australia
Ronald W. Kenyon United States
David E. Tribe relative to George C. Stewart United States George C. Stewart's profile →
Citations per field
00.5×2×4×6.0×
George C. Stewart · 1×
Citations per year

Countries citing papers authored by David E. Tribe

Since Specialization
Citations

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

Fields of papers citing papers by David E. Tribe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Tribe. 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 David E. Tribe. The network helps show where David E. Tribe may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002487
2 2001279
3 1979262
4 1982256
5 1989162
6 1979134
7 1999114
8 198098
9 195579
10
High productivity ethanol fermentations with Zymomonas mobilis
198069
11 198164
12 197662
13 198162
14 198061
15 198059
16 198252
17 197951
18 198851
19 198150
20 199445

About David E. Tribe

David E. Tribe is a scholar working on Agronomy and Crop Science, Genetics, Molecular Biology, Virology and Biomedical Engineering, having authored 75 papers that have together received 3.1k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (14 papers), Ruminant Nutrition and Digestive Physiology (12 papers), Biofuel production and bioconversion (12 papers), Genetic and phenotypic traits in livestock (9 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), HIV Research and Treatment (4 papers), Enzyme Catalysis and Immobilization (4 papers) and Insect Resistance and Genetics (4 papers). The work is most often cited by research in Clinical Biochemistry (336 citations), Virology (233 citations), Infectious Diseases (830 citations), Biotechnology (260 citations) and Molecular Biology (1.6k citations). David E. Tribe has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include Peter L. Rogers, Mary L. Skotnicki, John G. Gordon, Wieger L. Homan, Rob J. L. Willems, Emile Spalburg, Geoff G. Hogg, Mei Li, Jan D. A. van Embden and James Pittard. Their work appears in journals such as The Journal of Agricultural Science, Biotechnology Letters, British Journal Of Nutrition, Journal of Clinical Microbiology and Applied and Environmental Microbiology.

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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