Mary‐Lou Pardue

1.6k total citations
32 papers, 1.3k citations indexed

About

Mary‐Lou Pardue is a scholar working on Plant Science, Molecular Biology and Physiology. According to data from OpenAlex, Mary‐Lou Pardue has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 25 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in Mary‐Lou Pardue's work include Chromosomal and Genetic Variations (27 papers), CRISPR and Genetic Engineering (17 papers) and Genomics and Phylogenetic Studies (11 papers). Mary‐Lou Pardue is often cited by papers focused on Chromosomal and Genetic Variations (27 papers), CRISPR and Genetic Engineering (17 papers) and Genomics and Phylogenetic Studies (11 papers). Mary‐Lou Pardue collaborates with scholars based in United States, Russia and Spain. Mary‐Lou Pardue's co-authors include P. G. DeBaryshe, Elena Casacuberta, K L Traverse, Harald Biessmann, James M. Mason, Olga N. Danilevskaya, Rebecca Kellum, Maria N. Pavlova, Theresa M. Wizemann and S Celniker and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mary‐Lou Pardue

31 papers receiving 1.2k citations

Peers

Mary‐Lou Pardue
Comparison fields: 5 of 77
  • Molecular Biology 1.0k
  • Plant Science 947
  • Physiology 470
  • Genetics 116
  • Aging 75
Replace K L Traverse with:
K L Traverse United States
Fang-miin Sheen United States
Robert McCarroll United States
Paul Fox United States
Joanna Kacprzyk Ireland
Angelika Feldmann United Kingdom
Tracy Ballinger United States
Rania Nakad Germany
Gareth H. Jones United Kingdom
K L Traverse United States View profile →
Citations per field, relative to Mary‐Lou Pardue
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Citations per year, relative to Mary‐Lou Pardue
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Countries citing papers authored by Mary‐Lou Pardue

Since Specialization
Citations

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

Fields of papers citing papers by Mary‐Lou Pardue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary‐Lou Pardue. 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 Mary‐Lou Pardue. The network helps show where Mary‐Lou Pardue may publish in the future.

Co-authorship network of co-authors of Mary‐Lou Pardue

This figure shows the co-authorship network connecting the top 25 collaborators of Mary‐Lou Pardue. A scholar is included among the top collaborators of Mary‐Lou Pardue 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 Mary‐Lou Pardue. Mary‐Lou Pardue 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 18
2 5
3 1
4 16
5 13
6 49
7 2
8 11
9 71
10 4
11 36
12 170
13 71
14 35
15 3
16 33
17 31
18 57
19 43
20 207

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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