Gordon Haskell

522 citations
46 papers · 310 · h-index 9

Impact in

    • Berry genetics and cultivation research
    • Plant Physiology and Cultivation Studies
    • Plant Pathogens and Resistance
    • Horticultural and Viticultural Research
    • Plant Taxonomy and Phylogenetics
    • Plant and animal studies

Papers in

Gordon Haskell

45 papers receiving 244 citations

Peers

Gordon Haskell
Comparison fields: 5 of 52
  • Plant Science 196
  • Ecology, Evolution, Behavior and Systematics 97
  • Nature and Landscape Conservation 29
  • Molecular Biology 88
  • Cell Biology 21
Replace R. R. Willing with:
R. R. Willing Australia
Ralph E. Cleland United States
Ernst C. Abbe United States
NELE FINDLAY Australia
Batia Pazy Israel
Watkin Williams United Kingdom
William H. P. Emery United States
Noboru Hara Japan
Thad H. Busbice United States
V. S. Summerhayes
Gordon Haskell relative to R. R. Willing Australia R. R. Willing's profile →
Citations per field
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R. R. Willing · 1×
Citations per year

Countries citing papers authored by Gordon Haskell

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Gordon Haskell, 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 Gordon Haskell Line = papers co-authored together Gordon Haskell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195326
2 196026
3
The raspberry wild in Britain.
196021
4 196815
5 195415
6 196114
7 195212
8 196011
9 196110
10 19519
11 19599
12 19528
13 19668
14
Primer of Chromosome Practice
19708
15 19537
16 19637
17 19597
18 19667
19 19546
20 19546

About Gordon Haskell

Gordon Haskell is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Cell Biology, Agronomy and Crop Science and Molecular Biology, having authored 46 papers that have together received 310 indexed citations. Recurring topics across this work include Berry genetics and cultivation research (15 papers), Plant Physiology and Cultivation Studies (10 papers), Horticultural and Viticultural Research (7 papers), Plant Reproductive Biology (5 papers), Plant Pathogens and Fungal Diseases (5 papers), Plant Pathogens and Resistance (4 papers), Plant and animal studies (4 papers) and Yeasts and Rust Fungi Studies (4 papers). The work is most often cited by research in Plant Science (196 citations), Ecology, Evolution, Behavior and Systematics (97 citations), Nature and Landscape Conservation (29 citations), Molecular Biology (88 citations) and Cell Biology (21 citations). Gordon Haskell has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include G. E. Marks, James Hill and A. Gavin Brown. Their work appears in journals such as Genetica, Nature, Heredity, Euphytica and Annals of Botany.

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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