Mary E. Brown

727 citations
18 papers · 580 · h-index 10

Impact in

Papers in

Mary E. Brown

18 papers receiving 530 citations

Peers

Mary E. Brown
Comparison fields: 5 of 86
  • Ecological Modeling 164
  • Nature and Landscape Conservation 178
  • Aquatic Science 85
  • Global and Planetary Change 245
  • Ecology 244
Replace Jean‐Marc Paillisson with:
Jean‐Marc Paillisson France
Brian S. Dorr United States
Jackson A. Gross United States
Ross Gardiner United Kingdom
Robert E. Gordon United States
John F. McEvoy United States
Jean-Luc DesGranges Canada
Juniper L. Simonis United States
Bryce A. Maxell United States
Steve K. Windels United States
Mary E. Brown relative to Jean‐Marc Paillisson France Jean‐Marc Paillisson's profile →
Citations per field
00.5×1.7×
Jean‐Marc Paillisson · 1×
Citations per year

Countries citing papers authored by Mary E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013149
2
The physiology of fishes
1957129
3 200285
4 201359
5 201632
6 200125
7 200725
8 201324
9 201419
10
Salinity tolerance of goldfish Carassius auratus L., a non-native fish in the United States
200611
11 20176
12 20126
13 20204
14
The trout : the natural history of the brown trout in the British Isles
19702
15
Ambystoma talpoideum (Mole Salamander). Oviposition mode and timing
20121
16 20221
17
A question of status.
19841
18 19531

About Mary E. Brown

Mary E. Brown is a scholar working on Global and Planetary Change, Nature and Landscape Conservation, Ecology, Ecological Modeling and Genetics, having authored 18 papers that have together received 580 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (7 papers), Species Distribution and Climate Change (6 papers), Fish Ecology and Management Studies (4 papers), Wildlife Ecology and Conservation (3 papers), Fecal contamination and water quality (2 papers), Fish Biology and Ecology Studies (2 papers), Ecology and Vegetation Dynamics Studies (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Ecological Modeling (164 citations), Nature and Landscape Conservation (178 citations), Aquatic Science (85 citations), Global and Planetary Change (245 citations) and Ecology (244 citations). Mary E. Brown has collaborated with scholars based in United States. Frequent co-authors include Susan C. Walls, William J. Barichivich, M. Alan Brookhart, John M. Colford, Glenn Rice, Joseph N. S. Eisenberg, Blake R. Hossack, Pamela J. Schofield, David E. Scott and William F. Loftus. Their work appears in journals such as Wetlands, The Science of The Total Environment, Oecologia, Blood Advances and Physical Therapy.

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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