Daniel M. Mulcahy

3.0k citations
75 papers · 2.3k indexed · h-index 26

Daniel M. Mulcahy

74 papers receiving 2.1k citations

Peers

Daniel M. Mulcahy
Comparison fields: 5 of 132
  • Ecology 1.3k
  • Ecological Modeling 191
  • Developmental Biology 96
  • Nature and Landscape Conservation 477
  • Parasitology 160
Replace Simon J. Goodman with:
Simon J. Goodman United Kingdom
Benoı̂t de Thoisy French Guiana
Ian D. Hume Australia
Michel Gauthier‐Clerc France
A.A. Cunningham United Kingdom
Paul D. Curtis United States
Alejandro Rodrı́guez Spain
Karina Acevedo‐Whitehouse Mexico
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Maxime Galan France
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Citations per field
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Citations per year

Countries citing papers authored by Daniel M. Mulcahy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Mulcahy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20195
2 20143
3 20126
4 201117
5 201118
6 20115
7 20100
8
Taxation of Exchange-Traded Notes
20082
9 200827
10 20074
11 200639
12 200424
13 200318
14 2003102
15
Performance of implantable satellite transmitters in diving seabirds
200046
16
Loss from harlequin ducks of abdominally implanted radio transmitters equipped with percutaneous antennas
199920
17
Distribution and relative abundance of sea otters in south-central and south-western Alaska before or at the time of the T/V Exxon Valdez oil spill
19902
18
Strains of infectious hematopoietic necrosis (IHN) virus may be identified by structural protein differences
198127
19
BKD vertical transmission
19782
20 19724

About Daniel M. Mulcahy

Daniel M. Mulcahy is a scholar working on Ecology, Nature and Landscape Conservation and Parasitology, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Avian ecology and behavior (26 papers), Fish Ecology and Management Studies (12 papers), Aquaculture disease management and microbiota (12 papers), Marine animal studies overview (11 papers), Wildlife Ecology and Conservation (9 papers), Bird parasitology and diseases (8 papers), Aquaculture Nutrition and Growth (6 papers) and Rangeland and Wildlife Management (6 papers). The work is most often cited by research in Ecology (1.3k citations), Ecological Modeling (191 citations) and Developmental Biology (96 citations). Daniel M. Mulcahy has collaborated with scholars based in United States, Canada and France. Frequent co-authors include R.J. Pascho, Daniel Esler, David C. Douglas, T. Lee Tibbitts, Robert E. Gill, Theunis Piersma, Scott A. Hatch, Nils Warnock, Phil F. Battley and Colleen M. Handel. Their work appears in journals such as Applied and Environmental Microbiology, Proceedings of the Royal Society B Biological Sciences and Infection and Immunity.

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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