M. Danielle McDonald

2.2k total citations
77 papers, 1.8k citations indexed

About

M. Danielle McDonald is a scholar working on Ecology, Aquatic Science and Immunology. According to data from OpenAlex, M. Danielle McDonald has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Ecology, 42 papers in Aquatic Science and 29 papers in Immunology. Recurrent topics in M. Danielle McDonald's work include Physiological and biochemical adaptations (51 papers), Aquaculture Nutrition and Growth (41 papers) and Aquaculture disease management and microbiota (29 papers). M. Danielle McDonald is often cited by papers focused on Physiological and biochemical adaptations (51 papers), Aquaculture Nutrition and Growth (41 papers) and Aquaculture disease management and microbiota (29 papers). M. Danielle McDonald collaborates with scholars based in United States, Canada and United Kingdom. M. Danielle McDonald's co-authors include Patrick J. Walsh, Chris M. Wood, Martin Grosell, Kathleen M. Gilmour, Edward M. Mager, Craig P. Smith, Katherine A. Sloman, Andrew C. Baker, Adrienne M. S. Correa and Yuxiang Wang and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

M. Danielle McDonald

74 papers receiving 1.8k citations

Peers

M. Danielle McDonald
Comparison fields: 5 of 98
  • Ecology 1.1k
  • Aquatic Science 736
  • Immunology 510
  • Nature and Landscape Conservation 396
  • Health, Toxicology and Mutagenesis 307
Replace Ana Lúcia Kalinin with:
Ana Lúcia Kalinin Brazil
Scott D. Reid Canada
Derek Alsop Canada
Ingibjörg Eir Einarsdóttir Sweden
Paul M. Craig Canada
Keith Choe United States
Yung‐Che Tseng Taiwan
Neelakanteswar Aluru United States
Jeff G. Richards Canada
Scott P. Kelly Canada
Ana Lúcia Kalinin Brazil View profile →
Citations per field, relative to M. Danielle McDonald
M. Danielle McDonald · 1×
Citations per year, relative to M. Danielle McDonald
M. Danielle McDonald · 1×

Countries citing papers authored by M. Danielle McDonald

Since Specialization
Citations

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

Fields of papers citing papers by M. Danielle McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Danielle McDonald

This figure shows the co-authorship network connecting the top 25 collaborators of M. Danielle McDonald. A scholar is included among the top collaborators of M. Danielle McDonald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Danielle McDonald. M. Danielle McDonald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 12
4 16
5 4
6 11
7 17
8 21
9 17
10 14
11 3
12 40
13 68
14 36
15 30
16 80
17 78
18 10
19 56
20 23

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026