Daniel J. Daugherty

60 papers receiving 1.4k citations

Peers

Daniel J. Daugherty
Comparison fields: 5 of 113
  • Nature and Landscape Conservation 459
  • Biological Psychiatry 78
  • Aquatic Science 221
  • Neurology 178
  • Developmental Neuroscience 70
Replace Cecília R.A. Santos with:
Cecília R.A. Santos Portugal
José A. Santiago United States
Ryo Kimura Japan
Amalia Molinero Spain
Ritsuko Ohtani‐Kaneko Japan
Richard L. Leino United States
Ariel E. Reyes Chile
Keisuke Yoshikawa Japan
Toru Kobayashi Japan
Palmiro Cantatore Italy
Daniel J. Daugherty relative to Cecília R.A. Santos Portugal Cecília R.A. Santos's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Daugherty

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Daugherty'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. Daugherty 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. Daugherty more than expected).

Fields of papers citing papers by Daniel J. Daugherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013191
2 2013136
3 2018107
4 201482
5 201568
6 201660
7 201754
8 200548
9 201844
10 201138
11 201738
12 201338
13 200829
14 200728
15 201627
16 200926
17 201925
18
Reproductive Ecology of Alligator Gar: Identification of Environmental Drivers of Recruitment Success
201723
19 201918
20 202117

About Daniel J. Daugherty

Daniel J. Daugherty is a scholar working on Nature and Landscape Conservation, Aquatic Science, Ecology, Global and Planetary Change and Molecular Biology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (40 papers), Fish Biology and Ecology Studies (20 papers), Fish biology, ecology, and behavior (13 papers), Marine and fisheries research (13 papers), Hydrology and Sediment Transport Processes (7 papers), Wildlife Ecology and Conservation (5 papers), Mitochondrial Function and Pathology (4 papers) and Ichthyology and Marine Biology (4 papers). The work is most often cited by research in Nature and Landscape Conservation (459 citations), Biological Psychiatry (78 citations), Aquatic Science (221 citations), Neurology (178 citations) and Developmental Neuroscience (70 citations). Daniel J. Daugherty has collaborated with scholars based in United States, Malawi and China. Frequent co-authors include Wenbin Deng, Trent M. Sutton, Vimal Selvaraj, Olga Chechneva, Nathan Grant Smith, David Schubert, David Pleasure, David L. Buckmeier, Kanako Morohaku and Susanne H. Pelton. Their work appears in journals such as North American Journal of Fisheries Management, Transactions of the American Fisheries Society, Scientific Reports, Neurobiology of Disease and EMBO Molecular Medicine.

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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