Milo Thurston

1.2k citations
20 papers · 383 · h-index 9

Impact in

Papers in

    • Plant Virus Research Studies 3
    • Polysaccharides and Plant Cell Walls 3
    • Genetics, Bioinformatics, and Biomedical Research 3

Milo Thurston

18 papers receiving 363 citations

Peers

Milo Thurston
Comparison fields: 5 of 97
  • Information Systems and Management 68
  • Global and Planetary Change 68
  • Molecular Biology 173
  • Ecology 55
  • Endocrinology 11
Replace Tim Booth with:
Tim Booth United Kingdom
Pieter E. Zanstra Netherlands
Renzo Kottmann Germany
Jonathan Sidi Malaysia
Petra ten Hoopen United Kingdom
Peter Grobe Germany
Andrew Duncan United States
Erik Chavez United Kingdom
Yingying Li China
G.E. Pound United Kingdom
Milo Thurston relative to Tim Booth United Kingdom Tim Booth's profile →
Citations per field
00.5×1.5×2.4×
Tim Booth · 1×
Citations per year

Countries citing papers authored by Milo Thurston

Since Specialization
Citations

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

Fields of papers citing papers by Milo Thurston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006154
2 201063
3 201646
4 200130
5 199717
6
Successful experimental use of a self-contained gamma detecting device.
198414
7 199711
8 20209
9 20199
10 19986
11 20156
12 20075
13 20003
14 20043
15 20102
16
The ecology of turnip mosaic virus in wild populations of Brassica species.
20032
17 19992
18 20181
19 20230
20 20160

About Milo Thurston

Milo Thurston is a scholar working on Plant Science, Molecular Biology, Information Systems, Information Systems and Management and Food Science, having authored 20 papers that have together received 383 indexed citations. Recurring topics across this work include Polysaccharides Composition and Applications (4 papers), Scientific Computing and Data Management (4 papers), Research Data Management Practices (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Plant Virus Research Studies (3 papers), Polysaccharides and Plant Cell Walls (3 papers), Plant and Fungal Interactions Research (2 papers) and Climate variability and models (2 papers). The work is most often cited by research in Information Systems and Management (68 citations), Global and Planetary Change (68 citations), Molecular Biology (173 citations), Ecology (55 citations) and Endocrinology (11 citations). Milo Thurston has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Dawn Field, Tim Booth, Daniel Swan, Bela Tiwari, Daniel Cooley, Stephan R. Sain, Hayley J. Fowler, Susanna‐Assunta Sansone, Peter McQuilton and Allyson Lister. Their work appears in journals such as Food and Agricultural Immunology, Annals of Applied Biology, Bioinformatics, Extremes and BioTechniques.

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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