Gregory D. Davis

3.4k citations
20 papers · 1.7k · h-index 13

Impact in

Papers in

    • CRISPR and Genetic Engineering 10
    • Protein purification and stability 4
    • RNA Interference and Gene Delivery 4
    • Advanced biosensing and bioanalysis techniques 4
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Bacterial Genetics and Biotechnology 3

Gregory D. Davis

20 papers receiving 1.7k citations

Peers

Gregory D. Davis
Comparison fields: 5 of 87
  • Business and International Management 78
  • Aging 54
  • Molecular Biology 1.4k
  • Genetics 360
  • Cell Biology 182
Replace Shaorong Chong with:
Shaorong Chong United States
Andrew P. May United States
Nicholas R. Pannunzio United States
Sylvestre Grizot France
Keqiong Ye China
Emine Kaya Germany
Gianluca Petris Italy
Catharina Steentoft Denmark
Laura Spagnolo United Kingdom
Mingjian Du United States
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Citations per field
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Shaorong Chong · 1×
Citations per year

Countries citing papers authored by Gregory D. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Gregory D. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2011381
2 1999293
3 1999289
4 2014172
5
New fusion protein systems designed to give soluble expression in Escherichia coli.
1999121
6 2017117
7 201966
8 201466
9 200855
10 199849
11 201731
12 201428
13 202313
14 20086
15 20244
16 19984
17 20033
18 20242
19 20171
20 20251

About Gregory D. Davis

Gregory D. Davis is a scholar working on Molecular Biology, Genetics, Ecology, Business and International Management and Epidemiology, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Protein purification and stability (4 papers), RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Innovation and Socioeconomic Development (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Business and International Management (78 citations), Aging (54 citations), Molecular Biology (1.4k citations), Genetics (360 citations) and Cell Biology (182 citations). Gregory D. Davis has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Roger G. Harrison, Roger G. Harrison, Shondra M. Pruett‐Miller, Fuqiang Chen, Morten Frödin, Katarzyna Duda, Yuping Huang, Jack Taunton, Trevor N. Collingwood and Fuqiang Chen. Their work appears in journals such as Biotechnology and Bioengineering, Nature Communications, Nature Methods, BioTechniques and The CRISPR Journal.

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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