Paula Neall

1.5k citations
10 papers · 1.2k indexed · 1 hit paper · h-index 9

Paula Neall

10 papers receiving 1.1k citations

Hit Papers

Estrogenic activity in five United Kingdom rivers detecte...5111997202620062016100200300400500

Peers

Paula Neall
Comparison fields: 5 of 70
  • Physiology 620
  • Health, Toxicology and Mutagenesis 809
  • Pollution 569
  • Aquatic Science 219
  • Nature and Landscape Conservation 285
Replace Tina Tylor with:
Tina Tylor United Kingdom
Mark R. Hurst United Kingdom
Rémi Thibaut Spain
Jule E. Harries United Kingdom
Yiannis Kiparissis Canada
Petra Stahlschmidt‐Allner Germany
Yukinari Tsuruda Japan
Knud Ladegaard Pedersen Denmark
Sonia J. Kirby United Kingdom
Michael J. Waldock United Kingdom
Paula Neall relative to Tina Tylor United Kingdom Tina Tylor's profile →
Citations per field
00.5×1.5×
Tina Tylor · 1×
Citations per year

Countries citing papers authored by Paula Neall

Since Specialization
Citations

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

Fields of papers citing papers by Paula Neall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Paula Neall, 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 Paula Neall Line = papers co-authored together Paula Neall links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200666
2 200424
3 20001
4 2000139
5 199957
6 199952
7 199729
8
Estrogenic activity in five United Kingdom rivers detected by measurement of vitellogenesis in caged male troutbreakdown →
1997511
9 199615
10 1996342

About Paula Neall

Paula Neall is a scholar working on Physiology, Health, Toxicology and Mutagenesis and Aquatic Science, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (7 papers), Environmental Toxicology and Ecotoxicology (5 papers), Toxic Organic Pollutants Impact (4 papers), Fish Ecology and Management Studies (4 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Fish Biology and Ecology Studies (2 papers) and Aquaculture Nutrition and Growth (1 paper). The work is most often cited by research in Physiology (620 citations), Health, Toxicology and Mutagenesis (809 citations) and Pollution (569 citations). Paula Neall has collaborated with scholars based in United Kingdom. Frequent co-authors include Tina Tylor, Peter Matthiessen, Susan Jobling, John P. Sumpter, David A. Sheahan, Jule E. Harries, Mark F. Kirby, R. J. G. Rycroft, Edwin J. Routledge and Mark R. Hurst. Their work appears in journals such as Chemosphere, Marine Pollution Bulletin and Environmental Toxicology and Chemistry.

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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