Colin Shepherd

589 citations
17 papers · 416 · h-index 12

Impact in

Papers in

    • Plant tissue culture and regeneration 4
    • CRISPR and Genetic Engineering 2
    • Osteoarthritis Treatment and Mechanisms 6

Colin Shepherd

17 papers receiving 411 citations

Peers

Colin Shepherd
Comparison fields: 5 of 64
  • Rheumatology 159
  • Cancer Research 76
  • Biotechnology 28
  • Molecular Biology 172
  • Genetics 54
Replace Yasuyuki Shitomi with:
Yasuyuki Shitomi Japan
Outi Pakkanen Finland
Pia Annunen Finland
Benedetta Gualeni Italy
Hanna Gavish Israel
David C. A. John United Kingdom
Rina Nagao Japan
Vinayaga S. Gnanapragassam Germany
Hong Jin China
Colin Shepherd relative to Yasuyuki Shitomi Japan Yasuyuki Shitomi's profile →
Citations per field
00.5×3.4×
Yasuyuki Shitomi · 1×
Citations per year

Countries citing papers authored by Colin Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Colin Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201967
2 201546
3 200942
4 201840
5 201439
6 201938
7 201926
8 201523
9 201421
10 202217
11 200814
12 200813
13 201611
14 201510
15 20086
16 20092
17 20151

About Colin Shepherd

Colin Shepherd is a scholar working on Molecular Biology, Rheumatology, Plant Science, Genetics and Biotechnology, having authored 17 papers that have together received 416 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (6 papers), Plant tissue culture and regeneration (4 papers), Genetically Modified Organisms Research (3 papers), Animal Genetics and Reproduction (2 papers), Chromosomal and Genetic Variations (2 papers), Transgenic Plants and Applications (2 papers), CRISPR and Genetic Engineering (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Rheumatology (159 citations), Cancer Research (76 citations), Biotechnology (28 citations), Molecular Biology (172 citations) and Genetics (54 citations). Colin Shepherd has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include John Loughlin, Louise N. Reynard, M. Paul Scott, Sarah J. Rice, Andrew Skelton, Michael D. Rushton, Jason C. Klein, Aidan Keith, Vikram Agarwal and Jay Shendure. Their work appears in journals such as Arthritis & Rheumatology, Osteoarthritis and Cartilage, Cereal Chemistry, Human Molecular Genetics and Nature Communications.

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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