Stephen D. E. Park

1.2k citations
20 papers · 805 · h-index 16

Impact in

  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

Stephen D. E. Park

20 papers receiving 787 citations

Peers

Stephen D. E. Park
Comparison fields: 5 of 98
  • Genetics 325
  • Agronomy and Crop Science 92
  • Equine 15
  • Cancer Research 107
  • Infectious Diseases 111
Replace Carmen Manzano with:
Carmen Manzano Spain
David A. Magee Ireland
M. Longeri Italy
Ziyuan Duan China
Meiying Fang China
Heather Finlayson United Kingdom
Emma K. Finlay Ireland
Tetsuma MURASE Japan
Jaquelline Germano de Oliveira Brazil
Cécile Grohs France
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Citations per field
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Citations per year

Countries citing papers authored by Stephen D. E. Park

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. E. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen D. E. Park. 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 Stephen D. E. Park. The network helps show where Stephen D. E. Park may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015115
2 201895
3 201071
4 200770
5 201445
6 200645
7 201243
8 200942
9 201340
10 200939
11 201537
12 201132
13 200629
14 201727
15 201823
16 201417
17 201911
18 200710
19 20168
20 20076

About Stephen D. E. Park

Stephen D. E. Park is a scholar working on Molecular Biology, Epidemiology, Genetics, Infectious Diseases and Cancer Research, having authored 20 papers that have together received 805 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (7 papers), Genetic and phenotypic traits in livestock (6 papers), Cancer-related molecular mechanisms research (6 papers), Genetic diversity and population structure (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Vector-Borne Animal Diseases (2 papers) and Identification and Quantification in Food (2 papers). The work is most often cited by research in Genetics (325 citations), Agronomy and Crop Science (92 citations), Equine (15 citations), Cancer Research (107 citations) and Infectious Diseases (111 citations). Stephen D. E. Park has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include David E. MacHugh, David A. Magee, Kieran G. Meade, Eamonn Gormley, Kate E. Killick, Karsten Hokamp, John A. Browne, Nicolas Nalpas, Amanda J. Lohan and Emmeline W. Hill. Their work appears in journals such as BMC Genomics, Frontiers in Genetics, Frontiers in Immunology, PLoS ONE and Veterinary Immunology and Immunopathology.

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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