Daniel McGoldrick

8.3k citations
17 papers · 1.4k · h-index 14

Impact in

Papers in

Daniel McGoldrick

17 papers receiving 1.4k citations

Peers

Daniel McGoldrick
Comparison fields: 5 of 108
  • Aquatic Science 239
  • Global and Planetary Change 411
  • Immunology 295
  • Genetics 313
  • Molecular Biology 683
Replace Zhiming Xiang with:
Zhiming Xiang China
Charles Cunningham United Kingdom
Haitao Ma China
Woo‐Jin Kim South Korea
Anthony W. Ryan Ireland
Meredith Ashby United States
Umberto Rosani Italy
María M. Costa Spain
Pen-Heng Chang Taiwan
Ming Guo China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel McGoldrick

Since Specialization
Citations

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

Fields of papers citing papers by Daniel McGoldrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2015282
2 2014267
3
The transmission of microsatellite alleles in Australian and North American stocks of the Pacific oyster (Crassostrea gigas) : Selection and null alleles
2000144
4 2012130
5 1995121
6 199684
7 199469
8 201665
9 200063
10 199758
11 201153
12 200735
13 201428
14 202215
15 202112
16 20076
17 19982

About Daniel McGoldrick

Daniel McGoldrick is a scholar working on Molecular Biology, Global and Planetary Change, Aquatic Science, Ecology and Genetics, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Marine Bivalve and Aquaculture Studies (6 papers), Aquaculture Nutrition and Growth (5 papers), Aquatic Invertebrate Ecology and Behavior (4 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Epigenetics and DNA Methylation (2 papers), Inflammasome and immune disorders (2 papers), Genetic diversity and population structure (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Aquatic Science (239 citations), Global and Planetary Change (411 citations), Immunology (295 citations), Genetics (313 citations) and Molecular Biology (683 citations). Daniel McGoldrick has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Dennis Hedgecock, Brian L. Bayne, Prajwal Gurung, Peter Vogel, Robert Carter, Thirumala‐Devi Kanneganti, Christopher Calabrese, Mohamed Lamkanfi, Lieselotte Vande Walle and Srinivasa Rao Bandi. Their work appears in journals such as Advanced Materials, Blood, Marine Biology, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology and The Journal of Experimental 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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