Lindsay M. Payer

1.1k citations
13 papers · 646 indexed · h-index 10
Topics
Chromosomal and Genetic Variations (8 papers)Genomic variations and chromosomal abnormalities (5 papers)RNA and protein synthesis mechanisms (5 papers)

In The Last Decade

Lindsay M. Payer

13 papers receiving 641 citations

Peers

Lindsay M. Payer
Comparison fields: 5 of 66
  • Molecular Biology 516
  • Plant Science 374
  • Genetics 137
  • Cancer Research 63
  • Immunology 44
Replace Jared P. Steranka with:
Jared P. Steranka United States
Tara T. Doucet-O’Hare United States
Huira C. Kopera United States
Aditya Sankar Denmark
Melissa Vetter Germany
Marjon J.A.M. Verstegen Netherlands
Maxim Nekrasov Australia
LeeAnn Ramsay Canada
Svetlana V. Ustyugova Russia
Julien Häsler Switzerland
Lindsay M. Payer relative to Jared P. Steranka United States Jared P. Steranka's profile →
Citations per field
00.5×1.5×1.8×
Jared P. Steranka · 1×
Citations per year

Countries citing papers authored by Lindsay M. Payer

Since Specialization
Citations

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

Fields of papers citing papers by Lindsay M. Payer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lindsay M. Payer. 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 Lindsay M. Payer. The network helps show where Lindsay M. Payer may publish in the future.

Co-authorship network of co-authors of Lindsay M. Payer

This figure shows the co-authorship network connecting the top 25 collaborators of Lindsay M. Payer. A scholar is included among the top collaborators of Lindsay M. Payer 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 Lindsay M. Payer. Lindsay M. Payer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 22
3 8
4 12
5 80
6 24
7 7
8 20
9 205
10 114
11 56
12 9
13 86

About Lindsay M. Payer

Lindsay M. Payer is a scholar working on Plant Science, Genetics and Molecular Biology, having authored 13 papers that have together received 646 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Genomic variations and chromosomal abnormalities (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Plant Science (374 citations), Molecular Biology (516 citations) and Genetics (137 citations). Lindsay M. Payer has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Kathleen H. Burns, Daniel Ardeljan, Jared P. Steranka, Wan Rou Yang, Jef D. Boeke, Chunhong Liu, Dimitri Avramopoulos, David Fenyö, Peter A. Calabresi and Thomas A. Cooper. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Reviews Genetics.

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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