RJ Davis

761 citations
17 papers · 648 · h-index 10

Impact in

Papers in

    • Influenza Virus Research Studies 4
    • Protein Kinase Regulation and GTPase Signaling 2
    • Glycosylation and Glycoproteins Research 1

RJ Davis

15 papers receiving 629 citations

Peers

RJ Davis
Comparison fields: 5 of 100
  • Aging 12
  • Agronomy and Crop Science 68
  • Cell Biology 87
  • Molecular Biology 336
  • Immunology and Allergy 24
Replace Yuke Zhang with:
Yuke Zhang China
David D. Dickey United States
Guoqing Chen China
Gisele Abigail Montan Torres Brazil
Haiming Xu China
Haochuan Li China
Parker Williams United States
Erin E. Sparks United States
Xiaodan Meng China
Girish C. Shukla United States
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Citations per field
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Citations per year

Countries citing papers authored by RJ Davis

Since Specialization
Citations

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

Fields of papers citing papers by RJ Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1993295
2 199361
3 198756
4 199547
5 201140
6 199139
7 200338
8 201125
9 201115
10 201210
11 20119
12 19994
13 19963
14
Improved feeding of green cane by harvesters : SRDC final report BS1655
20002
15
Final report - SRDC project BS188S - Improving the performance of chopper systems in cane harvesters
19992
16
Impact of chopper harvesting on the translation of field CCS to factory realised CCS : SRDC final report SD01007
20011
17
Sustaining un-burnt production systems in cool wet environments : SRDC final report BSS168
20021

About RJ Davis

RJ Davis is a scholar working on Epidemiology, Molecular Biology, Agronomy and Crop Science, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 17 papers that have together received 648 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Animal Disease Management and Epidemiology (3 papers), Vector-Borne Animal Diseases (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Sugarcane Cultivation and Processing (2 papers), Soil Geostatistics and Mapping (2 papers), Agricultural Engineering and Mechanization (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Aging (12 citations), Agronomy and Crop Science (68 citations), Cell Biology (87 citations), Molecular Biology (336 citations) and Immunology and Allergy (24 citations). RJ Davis has collaborated with scholars based in United States, Australia and Hungary. Frequent co-authors include A Seth, Shashi Kumar Gupta, Norman L. Jones, PD Kirkland, M Faucher, Anthony Carruthers, M P Czech, Éric Selva, KE ARZEY and James Watson. Their work appears in journals such as Australian Veterinary Journal, Journal of Biological Chemistry, Ground Water, Molecular and Cellular Biology and The Journal of Cell 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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