Peggy Eby

3.1k citations
35 papers · 1.6k · 1 hit paper · h-index 19

Impact in

Papers in

Peggy Eby

34 papers receiving 1.5k citations

Peggy Eby's Hit Papers

Pathogen spillover driven by rapid changes in bat ecology 2022 · 155 citations
1550+1+2Years since publication50100150

Peers

Peggy Eby
Comparison fields: 5 of 85
  • Ecological Modeling 315
  • Virology 150
  • Ecology, Evolution, Behavior and Systematics 662
  • Ecology 737
  • Infectious Diseases 487
Replace Ryan J. Harrigan with:
Ryan J. Harrigan United States
Gerardo Suzán Mexico
Sarah J. Burthe United Kingdom
Markus Hofmeyr South Africa
Kate E. Langwig United States
Jakob Fahr Germany
Pablo M. Beldoménico Argentina
Joseph R. Hoyt United States
Peter D. Walsh United States
Jeremy T. H. Coleman United States
Peggy Eby relative to Ryan J. Harrigan United States Ryan J. Harrigan's profile →
Citations per field
00.5×2.6×
Ryan J. Harrigan · 1×
Citations per year

Countries citing papers authored by Peggy Eby

Since Specialization
Citations

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

Fields of papers citing papers by Peggy Eby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007349
2 2011248
3
Pathogen spillover driven by rapid changes in bat ecology
Hit paper breakdown →
2022155
4 1991138
5 201286
6 201883
7 199959
8 199856
9 199153
10 199051
11 198748
12 201842
13 201839
14 201139
15 201130
16 201626
17 202223
18 200222
19 202218
20 202113

About Peggy Eby

Peggy Eby is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Infectious Diseases, Epidemiology and Ecological Modeling, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (15 papers), Bat Biology and Ecology Studies (13 papers), Viral Infections and Vectors (11 papers), Virology and Viral Diseases (9 papers), Species Distribution and Climate Change (8 papers), Zoonotic diseases and public health (5 papers), Human-Animal Interaction Studies (4 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Ecological Modeling (315 citations), Virology (150 citations), Ecology, Evolution, Behavior and Systematics (662 citations), Ecology (737 citations) and Infectious Diseases (487 citations). Peggy Eby has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Raina K. Plowright, Nicola Markus, Stefan M. Klose, Justin A. Welbergen, Daniel Lunney, Alison J. Peel, Hume Field, Peter Daszak, Patrick Foley and Janet E. Foley. Their work appears in journals such as Wildlife Research, Journal of Animal Ecology, Ecology and Evolution, Austral Ecology and One Health.

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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