Susan J. Brown

17.9k total citations
201 papers, 7.8k citations indexed

About

Susan J. Brown is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Susan J. Brown has authored 201 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Molecular Biology, 50 papers in Plant Science and 45 papers in Genetics. Recurrent topics in Susan J. Brown's work include Developmental Biology and Gene Regulation (41 papers), Insect Resistance and Genetics (35 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (21 papers). Susan J. Brown is often cited by papers focused on Developmental Biology and Gene Regulation (41 papers), Insect Resistance and Genetics (35 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (21 papers). Susan J. Brown collaborates with scholars based in United States, United Kingdom and Germany. Susan J. Brown's co-authors include Robin E. Denell, Richard W. Beeman, L. Wang, Marcé D. Lorenzen, Peter J. Richardson, Sherry Miller, Teresa D. Shippy, Chong Pyo Choe, Yoshinori Tomoyasu and Jeffrey J. Stuart and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Susan J. Brown

195 papers receiving 7.6k citations

Peers

Susan J. Brown
Comparison fields: 5 of 180
  • Molecular Biology 5.4k
  • Genetics 1.7k
  • Plant Science 1.3k
  • Cellular and Molecular Neuroscience 1.3k
  • Insect Science 1.1k
Replace Junhyong Kim with:
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Marc Robinson‐Rechavi Switzerland
Kevin P. White United States
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Thomas Werner Germany
Bruce S. Baker United States
Stig W. Omholt Norway
Marcelo B. Soares United States
Jonathan Hodgkin United Kingdom
Junhyong Kim United States View profile →
Citations per field, relative to Susan J. Brown
Susan J. Brown · 1×
Citations per year, relative to Susan J. Brown
Susan J. Brown · 1×

Countries citing papers authored by Susan J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Susan J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan J. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Susan J. Brown. A scholar is included among the top collaborators of Susan J. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susan J. Brown. Susan J. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 3
4 4
5 8
6 6
7 7
8 34
9
Transcriptome profiling of sorted endoreduplicated nuclei from tomato fruits: how global shift in expression ascribed to DNA ploidy influences RNA-Seq data normalization and interpretation
2
10 21
11 128
12 53
13 139
14 7
15 36
16 67
17 54
18 36
19 19
20 122

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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