Meta S. Brown

727 citations
29 papers · 357 indexed · h-index 13

Impact in

    • Plant and Fungal Interactions Research
    • Research in Cotton Cultivation
    • Plant Virus Research Studies
    • Chromosomal and Genetic Variations
    • Plant Genetic and Mutation Studies

Papers in

    • Plant and Fungal Interactions Research 5
    • Research in Cotton Cultivation 21
    • Plant Virus Research Studies 10
    • Chromosomal and Genetic Variations 8
    • Plant Physiology and Cultivation Studies 2

Meta S. Brown

28 papers receiving 299 citations

Peers

Meta S. Brown
Comparison fields: 5 of 43
  • Endocrinology 84
  • Plant Science 302
  • Biophysics 20
  • Ecology, Evolution, Behavior and Systematics 29
  • Molecular Biology 73
Replace M. Chessin with:
M. Chessin United States
Andy Maule United Kingdom
D. L. Richardson United States
L. Bos Netherlands
Grover Sowell United States
S. I. Malyshenko Russia
Wendy Skinner United Kingdom
Akinori EZUKA Japan
Jan C. Schöning Germany
Corinna Streitner Germany
Meta S. Brown relative to M. Chessin United States M. Chessin's profile →
Citations per field
00.5×8.4×
M. Chessin · 1×
Citations per year

Countries citing papers authored by Meta S. Brown

Since Specialization
Citations

This map shows the geographic impact of Meta 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 Meta 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 Meta S. Brown more than expected).

Fields of papers citing papers by Meta S. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Meta 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 Meta S. Brown Line = papers co-authored together Meta S. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 19847
2 19808
3 198030
4 19784
5 197815
6 19681
7 196414
8 19644
9 196417
10 19627
11 19582
12 19588
13 19555
14 195522
15 195424
16 19529
17 195229
18 195212
19 195113
20 19513

About Meta S. Brown

Meta S. Brown is a scholar working on Endocrinology, Plant Science, Ecology, Evolution, Behavior and Systematics, Biophysics and Molecular Biology, having authored 29 papers that have together received 357 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (21 papers), Plant Virus Research Studies (10 papers), Chromosomal and Genetic Variations (8 papers), Plant and Fungal Interactions Research (5 papers), Plant and animal studies (4 papers), Plant Reproductive Biology (4 papers), Plant Physiology and Cultivation Studies (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Endocrinology (84 citations), Plant Science (302 citations), Biophysics (20 citations), Ecology, Evolution, Behavior and Systematics (29 citations) and Molecular Biology (73 citations). Meta S. Brown has collaborated with scholars based in United States. Frequent co-authors include Margaret Y. Menzel, J. E. Endrizzi, Lowell D. Kispert, Michael K. Bowman, James R. Norris and Clare A. Hasenkampf. Their work appears in journals such as American Journal of Botany, Genetics, Journal of Heredity, Evolution and Crop Science.

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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