Daniel J. Storm

737 citations
35 papers · 567 · h-index 12

Impact in

    • Animal Disease Management and Epidemiology
  • Ecology top 5%
    • Wildlife Ecology and Conservation
    • Wildlife-Road Interactions and Conservation
    • Rangeland and Wildlife Management
    • Ecology and biodiversity studies

Papers in

    • Wildlife Ecology and Conservation 23
    • Wildlife-Road Interactions and Conservation 6
    • Ecology and biodiversity studies 6
    • Animal Disease Management and Epidemiology 11

Daniel J. Storm

33 papers receiving 548 citations

Peers

Daniel J. Storm
Comparison fields: 5 of 56
  • Agronomy and Crop Science 204
  • Ecology 357
  • Small Animals 72
  • Ecological Modeling 25
  • Developmental Biology 8
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Daniel J. Storm relative to Christopher S. Rosenberry United States Christopher S. Rosenberry's profile →
Citations per field
00.5×1.5×2.3×
Christopher S. Rosenberry · 1×
Citations per year

Countries citing papers authored by Daniel J. Storm

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Storm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Storm. 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 Daniel J. Storm. The network helps show where Daniel J. Storm may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel J. Storm, 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 Daniel J. Storm Line = papers co-authored together Daniel J. Storm 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 200790
2 200770
3 201367
4 200753
5 201644
6 201537
7 201427
8 201726
9 201115
10 201115
11 202314
12 201712
13 202210
14 202110
15 20229
16 20229
17 20198
18 20178
19 20247
20 20236

About Daniel J. Storm

Daniel J. Storm is a scholar working on Ecology, Agronomy and Crop Science, Molecular Biology, Management, Monitoring, Policy and Law and Genetics, having authored 35 papers that have together received 567 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (23 papers), Animal Disease Management and Epidemiology (11 papers), Prion Diseases and Protein Misfolding (10 papers), Wildlife-Road Interactions and Conservation (6 papers), Ecology and biodiversity studies (6 papers), Rangeland Management and Livestock Ecology (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Metallurgy and Material Science (3 papers). The work is most often cited by research in Agronomy and Crop Science (204 citations), Ecology (357 citations), Small Animals (72 citations), Ecological Modeling (25 citations) and Developmental Biology (8 citations). Daniel J. Storm has collaborated with scholars based in United States and Chile. Frequent co-authors include Eric M. Schauber, Clayton K. Nielsen, Michael D. Samuel, Alan Woolf, Timothy R. Van Deelen, Bryan J. Richards, Robert E. Rolley, Charles W. Anderson, Nicholas S. Keuler and Paul Shelton. Their work appears in journals such as Journal of Wildlife Management, Scientific Reports, Journal of Mammalogy, Journal of Wildlife Diseases and Ecology and Evolution.

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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