Lisa E. Kursel

614 citations
13 papers · 389 indexed · h-index 11

Impact in

  • Aging top 10%
    • Chromosomal and Genetic Variations
    • Plant Molecular Biology Research
    • Genetics and Plant Breeding

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 3
    • Chromosomal and Genetic Variations 6
    • Plant Molecular Biology Research 2

Lisa E. Kursel

13 papers receiving 386 citations

Peers

Lisa E. Kursel
Comparison fields: 5 of 38
  • Aging 32
  • Plant Science 258
  • Genetics 140
  • Molecular Biology 234
  • Cell Biology 42
Replace Sharon Reikhav with:
Sharon Reikhav Israel
Jan Drouaud France
Julius Dürr United Kingdom
Katrin Kumke Germany
Qianli Dong China
Elizabeth J. B. Williams United Kingdom
Hongbo Tang China
Pétra Vande Zande United States
Isabelle Colas United Kingdom
Lucie Pereira France
Lisa E. Kursel relative to Sharon Reikhav Israel Sharon Reikhav's profile →
Citations per field
00.5×8.8×
Sharon Reikhav · 1×
Citations per year

Countries citing papers authored by Lisa E. Kursel

Since Specialization
Citations

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

Fields of papers citing papers by Lisa E. Kursel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa E. Kursel. 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 Lisa E. Kursel. The network helps show where Lisa E. Kursel may publish in the future.

Co-authors

The 21 scholars most cited alongside Lisa E. Kursel, 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 Lisa E. Kursel Line = papers co-authored together Lisa E. Kursel links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20242
2 20231
3 202121
4 202111
5 202116
6 202042
7 202012
8 201860
9 201740
10 201615
11 201640
12 2013106
13 201123

About Lisa E. Kursel

Lisa E. Kursel is a scholar working on Aging, Plant Science, Molecular Biology, Genetics and Cell Biology, having authored 13 papers that have together received 389 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (6 papers), DNA Repair Mechanisms (4 papers), Genomics and Phylogenetic Studies (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Mitochondrial Function and Pathology (2 papers), Plant Molecular Biology Research (2 papers), Plant Reproductive Biology (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Aging (32 citations), Plant Science (258 citations), Genetics (140 citations), Molecular Biology (234 citations) and Cell Biology (42 citations). Lisa E. Kursel has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include Harmit S. Malik, John Doebley, Clinton Whipple, Shohei Takuno, Ofer Rog, Laura M. Shannon, Jeffrey Ross‐Ibarra, David M. Wills, Elizabeth A. Kellogg and Jill C. Preston. Their work appears in journals such as Genetics, PLoS Genetics, Molecular Biology and Evolution, The Journal of Cell Biology and Current Opinion in Cell Biology.

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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