E. M. McDermid

817 citations
34 papers · 626 · h-index 17

Impact in

    • Animal Nutrition and Physiology
    • Animal Virus Infections Studies
  • Genetics top 10%
    • Genetic diversity and population structure
    • Forensic and Genetic Research
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Erythrocyte Function and Pathophysiology 10
    • Blood groups and transfusion 9

E. M. McDermid

33 papers receiving 528 citations

Peers

E. M. McDermid
Comparison fields: 5 of 95
  • Animal Science and Zoology 110
  • Genetics 227
  • Hematology 68
  • Genetics 47
  • Microbiology 26
Replace J. Peter Hjorth with:
J. Peter Hjorth Denmark
Jer-Ming Chia Singapore
H. W. Hitzeroth Germany
Atsushi P. Kimura Japan
R. Waßmuth Germany
Rory M. Hope Australia
Polani B. Seshagiri India
B. H. van Leeuwen Australia
H. Shibuya Japan
I. Balazs United States
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Citations per field
00.5×5.9×
J. Peter Hjorth · 1×
Citations per year

Countries citing papers authored by E. M. McDermid

Since Specialization
Citations

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

Fields of papers citing papers by E. M. McDermid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196250
2 196249
3 197148
4 196241
5 197339
6 197231
7 197727
8 197225
9 197424
10 197523
11 196322
12 197321
13 196521
14 197820
15 197320
16 197219
17 197417
18 197414
19 197313
20 197013

About E. M. McDermid

E. M. McDermid is a scholar working on Physiology, Hematology, Genetics, Animal Science and Zoology and Molecular Biology, having authored 34 papers that have together received 626 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (10 papers), Blood groups and transfusion (9 papers), Microbial infections and disease research (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Animal Virus Infections Studies (4 papers), Animal Genetics and Reproduction (3 papers), Meat and Animal Product Quality (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Animal Science and Zoology (110 citations), Genetics (227 citations), Hematology (68 citations), Genetics (47 citations) and Microbiology (26 citations). E. M. McDermid has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include R. L. Kirk, W. Jaffe, N.M. Blake, D. G. Gilmour, J. R. Morton, Radha Ananthakrishnan, J.V. Craig, Keiichi Omoto, D. G. Woodfield and Nicholas Agar. Their work appears in journals such as Human Heredity, American Journal of Physical Anthropology, Science, Vox Sanguinis and Folia Primatologica.

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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