Jane Disney

492 citations
17 papers · 306 · h-index 7

Impact in

  • Physiology top 10%
    • Reproductive biology and impacts on aquatic species
    • Animal Genetics and Reproduction
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

Jane Disney

16 papers receiving 291 citations

Peers

Jane Disney
Comparison fields: 5 of 73
  • Physiology 26
  • Genetics 80
  • Molecular Biology 195
  • Ecological Modeling 11
  • Cancer Research 32
Replace Sienna H. Margan with:
Sienna H. Margan Australia
Pedro J. Alfonso United States
Cristóbal Mezquita Spain
Shuuji Mawaribuchi Japan
Jovita Mezquita Spain
Nadezhda V. Terekhanova Russia
Nathalie Colpaert Belgium
Lindsay J. Frehlick Canada
Leda Torres Mexico
Patrick Gilligan Singapore
Jane Disney relative to Sienna H. Margan Australia Sienna H. Margan's profile →
Citations per field
00.5×
Sienna H. Margan · 1×
Citations per year

Countries citing papers authored by Jane Disney

Since Specialization
Citations

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

Fields of papers citing papers by Jane Disney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1989128
2 199074
3 198731
4 198820
5 202112
6 19857
7 20216
8 20136
9 20215
10 20084
11 20083
12 20173
13 19902
14 20242
15 20182
16 20171
17 20240

About Jane Disney

Jane Disney is a scholar working on Molecular Biology, Genetics, Ecological Modeling, Nature and Landscape Conservation and Information Systems, having authored 17 papers that have together received 306 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (4 papers), Species Distribution and Climate Change (4 papers), Reproductive biology and impacts on aquatic species (2 papers), Fish Ecology and Management Studies (2 papers), Research Data Management Practices (2 papers), DNA Repair Mechanisms (1 paper), Data Visualization and Analytics (1 paper) and Insect Resistance and Genetics (1 paper). The work is most often cited by research in Physiology (26 citations), Genetics (80 citations), Molecular Biology (195 citations), Ecological Modeling (11 citations) and Cancer Research (32 citations). Jane Disney has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kenneth Johnson, Raymond Reeves, Steven R. Sylvester, Nancy S. Magnuson, Carol R. Wyatt, Gary H. Thorgaard, William J. McCarthy, Abigail Muscat, Ashley Taylor and Linda Silka. Their work appears in journals such as Environmental Health Perspectives, Journal of Experimental Zoology, The Journal of Cell Biology, Journal of Coastal Research and Scientific Reports.

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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