S. Brown

445 citations
12 papers · 346 · h-index 9

Impact in

Papers in

    • Chromosomal and Genetic Variations 5
    • Plant Disease Resistance and Genetics 4
    • Plant nutrient uptake and metabolism 2
    • Horticultural and Viticultural Research 1
    • Plant Molecular Biology Research 1
    • Plant tissue culture and regeneration 3

S. Brown

12 papers receiving 327 citations

Peers

S. Brown
Comparison fields: 5 of 44
  • Plant Science 258
  • Ecology, Evolution, Behavior and Systematics 85
  • Cell Biology 48
  • Molecular Biology 164
  • Endocrinology 11
Replace Ate van der Burgt with:
Ate van der Burgt Netherlands
Wencai Wang China
Yanjiao Zou China
Guijie Du China
Antonio Martı́nez-Laborda Spain
Jaroslav Fulneček Czechia
Wenhui Wei China
N.K. Todd United Kingdom
Jean Michel Grienenberger France
Yibo Zhang China
S. Brown relative to Ate van der Burgt Netherlands Ate van der Burgt's profile →
Citations per field
00.5×4.3×
Ate van der Burgt · 1×
Citations per year

Countries citing papers authored by S. Brown

Since Specialization
Citations

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

Fields of papers citing papers by S. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200284
2 200159
3 198840
4 200134
5 199934
6 200527
7 199825
8 199815
9 198214
10 20028
11 20234
12 20072

About S. Brown

S. Brown is a scholar working on Plant Science, Molecular Biology, Ecology, Cell Biology and Organic Chemistry, having authored 12 papers that have together received 346 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (5 papers), Plant Disease Resistance and Genetics (4 papers), Plant tissue culture and regeneration (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Plant nutrient uptake and metabolism (2 papers), Horticultural and Viticultural Research (1 paper), Plant Molecular Biology Research (1 paper) and Plant Diversity and Evolution (1 paper). The work is most often cited by research in Plant Science (258 citations), Ecology, Evolution, Behavior and Systematics (85 citations), Cell Biology (48 citations), Molecular Biology (164 citations) and Endocrinology (11 citations). S. Brown has collaborated with scholars based in France, Croatia and United States. Frequent co-authors include Dražena Papeš, M. Cerbah, Vlatka Zoldoš, Sonja Šiljak-Yakovlev, Sonja Šiljak-Yakovlev, S. Siljak-Yakovlev, Hélène Bertrand, Eric Mortreau, Claudie Lambert and Pierre Gadal. Their work appears in journals such as Theoretical and Applied Genetics, Plant Cell Reports, Forest Pathology, Genome and Die Naturwissenschaften.

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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