John Gill

9.3k citations
14 papers · 427 · h-index 8

Impact in

  • Ecology top 10%
    • Microbial Community Ecology and Physiology
  • Oceanography top 10%
    • Marine and coastal ecosystems

Papers in

    • Biopolymer Synthesis and Applications 2
    • Protist diversity and phylogeny 2
    • RNA and protein synthesis mechanisms 2
    • DNA and Nucleic Acid Chemistry 2
    • Polyamine Metabolism and Applications 2
    • Microbial Community Ecology and Physiology 2

John Gill

14 papers receiving 421 citations

Peers

John Gill
Comparison fields: 5 of 74
  • Ecology 151
  • Oceanography 64
  • Molecular Biology 281
  • Molecular Medicine 17
  • Environmental Chemistry 33
Replace Alise J. Ponsero with:
Alise J. Ponsero United States
Wolfgang Klein Germany
Carole Knibbe France
In-Jeong Ko South Korea
Xingxing Kang China
Xuejiao Jiang China
Wenlong Shen China
G. Dellavalle Italy
Sangeeta Chakraborty India
Frank Sætre Norway
John Gill relative to Alise J. Ponsero United States Alise J. Ponsero's profile →
Citations per field
00.5×10×14×
Alise J. Ponsero · 1×
Citations per year

Countries citing papers authored by John Gill

Since Specialization
Citations

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

Fields of papers citing papers by John Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2010139
2 201177
3 201962
4 201756
5 201342
6 201514
7 201812
8 201011
9 20204
10 20024
11 19982
12 20002
13 20131
14
Diurnal changes in the metabolic indices in the blood of racing Arabian horses.
19851

About John Gill

John Gill is a scholar working on Molecular Biology, Ecology, Radiology, Nuclear Medicine and Imaging, Genetics and Immunology, having authored 14 papers that have together received 427 indexed citations. Recurring topics across this work include Complement system in diseases (2 papers), Biopolymer Synthesis and Applications (2 papers), Microbial Community Ecology and Physiology (2 papers), Protist diversity and phylogeny (2 papers), RNA and protein synthesis mechanisms (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Polyamine Metabolism and Applications (2 papers). The work is most often cited by research in Ecology (151 citations), Oceanography (64 citations), Molecular Biology (281 citations), Molecular Medicine (17 citations) and Environmental Chemistry (33 citations). John Gill has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Senjie Lin, Yunyun Zhuang, Bao Tran, Huan Zhang, Huan Zhang, Daniel G. Gibson, Krishna Kannan, Bolyn Hubby, J. Craig Venter and Kurt I. Kamrud. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods, Journal of Pharmacology and Experimental Therapeutics, G3 Genes Genomes Genetics and Protist.

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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