Katherine E. Fish

20 papers receiving 1.0k citations

Peers

Katherine E. Fish
Comparison fields: 5 of 98
  • Endocrinology 260
  • Health, Toxicology and Mutagenesis 671
  • Pollution 208
  • Water Science and Technology 222
  • Industrial and Manufacturing Engineering 87
Replace Caitlin R. Proctor with:
Caitlin R. Proctor United States
Fangqiong Ling United States
Stewart Husband United Kingdom
E.I. Prest Netherlands
Chiachi Hwang United States
Tālis Juhna Latvia
Karin Lautenschlager Switzerland
Huirong Lin China
Stefan Kötzsch Switzerland
Arja Hirvonen Finland
Katherine E. Fish relative to Caitlin R. Proctor United States Caitlin R. Proctor's profile →
Citations per field
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Caitlin R. Proctor · 1×
Citations per year

Countries citing papers authored by Katherine E. Fish

Since Specialization
Citations

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

Fields of papers citing papers by Katherine E. Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine E. Fish. 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 Katherine E. Fish. The network helps show where Katherine E. Fish may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014209
2 2017145
3 2016106
4 2020106
5 2018102
6 201580
7 201877
8 202042
9 201840
10 201631
11 202125
12 201920
13 201919
14 202111
15 20229
16 20234
17 20243
18 20153
19 20242
20 20241

About Katherine E. Fish

Katherine E. Fish is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Endocrinology, Civil and Structural Engineering and Environmental Engineering, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Water Treatment and Disinfection (20 papers), Bacterial biofilms and quorum sensing (9 papers), Legionella and Acanthamoeba research (8 papers), Water Systems and Optimization (7 papers), Urban Stormwater Management Solutions (6 papers), Microbial Community Ecology and Physiology (2 papers), Fecal contamination and water quality (2 papers) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Endocrinology (260 citations), Health, Toxicology and Mutagenesis (671 citations), Pollution (208 citations), Water Science and Technology (222 citations) and Industrial and Manufacturing Engineering (87 citations). Katherine E. Fish has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Joby Boxall, Isabel Douterelo, A. Mark Osborn, Catherine A. Biggs, Raju Sekar, Peter Deines, Stewart Husband, Rebecca Sharpe, Nicola Green and Richard Collins. Their work appears in journals such as Frontiers in Microbiology, Water Research, Environmental Science Water Research & Technology, PLoS ONE and Water.

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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