Brian Ward

1.1k citations
35 papers · 746 · h-index 15

Impact in

Papers in

    • Wheat and Barley Genetics and Pathology 18
    • Genetics and Plant Breeding 13
    • Genetic Mapping and Diversity in Plants and Animals 12
    • Genetic and phenotypic traits in livestock 6

Brian Ward

34 papers receiving 734 citations

Peers

Brian Ward
Comparison fields: 5 of 93
  • Plant Science 327
  • Cancer Research 131
  • Genetics 237
  • Agronomy and Crop Science 46
  • Oncology 121
Replace Sun-Young Lee with:
Sun-Young Lee South Korea
Cecilia M. Hertig Argentina
Yuanyuan Gao China
C S Teng United States
Junhui Li China
Michel M. Sanders United States
Maryse Poiret France
Ze Peng United States
Masayoshi Iizuka Japan
Brian Ward relative to Sun-Young Lee South Korea Sun-Young Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brian Ward

Since Specialization
Citations

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

Fields of papers citing papers by Brian Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201383
2 201168
3 201968
4 200867
5 201058
6 200948
7 201946
8 201936
9 201334
10 202023
11 202022
12 202021
13 201917
14 202017
15 202116
16 201113
17 201813
18 202113
19 201010
20 20219

About Brian Ward

Brian Ward is a scholar working on Plant Science, Genetics, Cancer Research, Molecular Biology and Oncology, having authored 35 papers that have together received 746 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (18 papers), Genetics and Plant Breeding (13 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (6 papers), Cancer Genomics and Diagnostics (4 papers), Pancreatic function and diabetes (2 papers), Cancer Cells and Metastasis (2 papers) and Crop Yield and Soil Fertility (2 papers). The work is most often cited by research in Plant Science (327 citations), Cancer Research (131 citations), Genetics (237 citations), Agronomy and Crop Science (46 citations) and Oncology (121 citations). Brian Ward has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Gina Brown‐Guedira, Arron H. Carter, Richard D. DiMarchi, Clay Sneller, Dennis N. Lozada, Carl A. Griffey, Matthias H. Tschöp, David A. Van Sanford, Priyanka Tyagi and Vasily M. Gelfanov. Their work appears in journals such as Frontiers in Plant Science, PLoS ONE, The Plant Genome, British Journal of Cancer and Theoretical and Applied Genetics.

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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