Gena DeVue Tribble

3k citations
50 papers · 2.5k · h-index 28

Impact in

Papers in

Gena DeVue Tribble

49 papers receiving 2.4k citations

Peers

Gena DeVue Tribble
Comparison fields: 5 of 103
  • Periodontics 1.6k
  • Molecular Medicine 116
  • Oral Surgery 64
  • General Dentistry 4
  • Molecular Biology 512
Replace Masae Kuboniwa with:
Masae Kuboniwa Japan
Abirami Lakshmanan United States
Hideki Nagata Japan
Hisanori Domon Japan
Frank C. Gibson United States
Shauna Culshaw United Kingdom
Tomoko Kurita‐Ochiai Japan
Ruijie Huang China
P.‐L. Mäkinen United States
Richard T. Evans United States
Gena DeVue Tribble relative to Masae Kuboniwa Japan Masae Kuboniwa's profile →
Citations per field
00.5×1.5×1.9×
Masae Kuboniwa · 1×
Citations per year

Countries citing papers authored by Gena DeVue Tribble

Since Specialization
Citations

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

Fields of papers citing papers by Gena DeVue Tribble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gena DeVue Tribble. 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 Gena DeVue Tribble. The network helps show where Gena DeVue Tribble may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014217
2 2007206
3 2009181
4 2006125
5 2017107
6 200695
7 200995
8 201393
9 201991
10 200789
11 201481
12 200874
13 200872
14 199871
15 200669
16 200669
17 201265
18 201462
19 201252
20 200749

About Gena DeVue Tribble

Gena DeVue Tribble is a scholar working on Periodontics, Oral Surgery, Genetics, Molecular Medicine and Urology, having authored 50 papers that have together received 2.5k indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (35 papers), Bacterial Genetics and Biotechnology (8 papers), Bacterial biofilms and quorum sensing (3 papers), Antibiotic Resistance in Bacteria (3 papers), Periodontal Regeneration and Treatments (2 papers), DNA Repair Mechanisms (2 papers), Endodontics and Root Canal Treatments (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Periodontics (1.6k citations), Molecular Medicine (116 citations), Oral Surgery (64 citations), General Dentistry (4 citations) and Molecular Biology (512 citations). Gena DeVue Tribble has collaborated with scholars based in United States, Japan and Denmark. Frequent co-authors include Richard John Lamont, Nathan S. Bryan, Chloë E. James, Masae Kuboniwa, Charles Jeffrey Smith, Donald R. Demuth, Yoshiaki Hasegawa, Nikola Angelov, Jennifer Kerr and Yoonsuk Park. Their work appears in journals such as Infection and Immunity, Molecular Microbiology, Journal of Bacteriology, Journal of Periodontology and PLoS ONE.

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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