Christopher Nagy

515 citations
19 papers · 228 · h-index 10

Impact in

Papers in

    • Wildlife Ecology and Conservation 15
    • Animal Ecology and Behavior Studies 3
    • Avian ecology and behavior 3
    • Rangeland and Wildlife Management 3
    • Human-Animal Interaction Studies 4
    • Genetic diversity and population structure 3
    • Genetic and phenotypic traits in livestock 2

Christopher Nagy

17 papers receiving 215 citations

Peers

Christopher Nagy
Comparison fields: 5 of 45
  • Ecological Modeling 45
  • Developmental Biology 18
  • Ecology 155
  • Genetics 81
  • Nature and Landscape Conservation 32
Replace R. Julia Kilgour with:
R. Julia Kilgour Canada
Douglas de Matos Dias Brazil
Juan Carlos Atienza Spain
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Slavomír Finďo Slovakia
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201045
2 201425
3 200624
4 201919
5 201219
6 201217
7 201915
8 202215
9 201711
10 202211
11 20216
12 20205
13 20224
14 20123
15 20133
16 20133
17 20251
18
Australian Bat Lyssavirus in the Northern Territory 2000 - 2002: an overview of exposure and treatment.
20031
19 20251

About Christopher Nagy

Christopher Nagy is a scholar working on Ecology, Genetics, Ecological Modeling, Infectious Diseases and Small Animals, having authored 19 papers that have together received 228 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (15 papers), Species Distribution and Climate Change (4 papers), Human-Animal Interaction Studies (4 papers), Animal Ecology and Behavior Studies (3 papers), Avian ecology and behavior (3 papers), Rangeland and Wildlife Management (3 papers), Genetic diversity and population structure (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Ecological Modeling (45 citations), Developmental Biology (18 citations), Ecology (155 citations), Genetics (81 citations) and Nature and Landscape Conservation (32 citations). Christopher Nagy has collaborated with scholars based in United States, Puerto Rico and Nepal. Frequent co-authors include Mark Weckel, Jason Munshi‐South, Robert F. Rockwell, Deborah S. Mack, John M. Tirpak, Linda J. Gormezano, Claudia Wultsch, Bridgett M. vonHoldt, Javier Monzón and Konstantinos Krampis. Their work appears in journals such as Forest Ecology and Management, Urban Ecosystems, Journal of Urban Ecology, PeerJ and Landscape Ecology.

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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