Peter H. Brown

645 citations
9 papers · 497 · h-index 8

Impact in

Papers in

    • Plant tissue culture and regeneration 3
    • Coenzyme Q10 studies and effects 1
    • RNA and protein synthesis mechanisms 1
    • Transgenic Plants and Applications 3

Peter H. Brown

9 papers receiving 470 citations

Peers

Peter H. Brown
Comparison fields: 5 of 76
  • Cell Biology 105
  • Physiology 165
  • Nutrition and Dietetics 67
  • Pharmacology 63
  • Public Health, Environmental and Occupational Health 107
Replace Motohiro Maebuchi with:
Motohiro Maebuchi Japan
Sze‐Yong Zee Hong Kong
Ulrike Müller Austria
Mónica Schwarz Spain
Masayoshi Sugawara Japan
Henning Vollert Germany
Hao Yin China
Jean‐François Huneau France
Sudath Dahanayaka United States
Guangchang Pang China
Peter H. Brown relative to Motohiro Maebuchi Japan Motohiro Maebuchi's profile →
Citations per field
00.5×3.1×
Motohiro Maebuchi · 1×
Citations per year

Countries citing papers authored by Peter H. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Peter H. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2010231
2 198697
3 200973
4 198131
5 198821
6 198216
7 201116
8 19919
9 19913

About Peter H. Brown

Peter H. Brown is a scholar working on Molecular Biology, Biotechnology, Plant Science, Pharmacology and Pathology and Forensic Medicine, having authored 9 papers that have together received 497 indexed citations. Recurring topics across this work include Transgenic Plants and Applications (3 papers), Plant tissue culture and regeneration (3 papers), Coffee research and impacts (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Coenzyme Q10 studies and effects (1 paper), Plant nutrient uptake and metabolism (1 paper), Microbial bioremediation and biosurfactants (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cell Biology (105 citations), Physiology (165 citations), Nutrition and Dietetics (67 citations), Pharmacology (63 citations) and Public Health, Environmental and Occupational Health (107 citations). Peter H. Brown has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Tuan‐Hua David Ho, G. Harvey Anderson, Tina Akhavan, Clara E. Cho, Bohdan L. Luhovyy, William H. Outlaw, Jill K. Manchester, Yumin Chen, Richard M. Black and YiFang Chu. Their work appears in journals such as PLANT PHYSIOLOGY, Physiologia Plantarum, Journal of Food Science, Nucleic Acids Research and American Journal of Clinical Nutrition.

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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