Anna-Lisa Doebley

1.6k citations
11 papers · 833 indexed · 1 hit paper · h-index 8
Topics
CRISPR and Genetic Engineering (4 papers)Chromosomal and Genetic Variations (4 papers)Genetics, Aging, and Longevity in Model Organisms (4 papers)

In The Last Decade

Anna-Lisa Doebley

10 papers receiving 817 citations

Hit Papers

piRNAs Can Trigger a Multigenerational Epigenetic Memory ...20122026201620212012100200300400500

Peers

Anna-Lisa Doebley
Comparison fields: 5 of 73
  • Molecular Biology 663
  • Aging 302
  • Plant Science 245
  • Genetics 191
  • Cancer Research 73
Replace Bluma J. Lesch with:
Bluma J. Lesch United States
Aisa Sakaguchi Japan
Aaron F. Severson United States
Jacinth Mitchell United States
Julie Ni United States
Joshua A. Arribere United States
Sudhir Nayak United States
Itai Antoine Toker Israel
W.S. Sho Goh Singapore
Monique Zetka Canada
Anna-Lisa Doebley relative to Bluma J. Lesch United States Bluma J. Lesch's profile →
Citations per field
00.5×3.0×
Bluma J. Lesch · 1×
Citations per year

Countries citing papers authored by Anna-Lisa Doebley

Since Specialization
Citations

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

Fields of papers citing papers by Anna-Lisa Doebley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna-Lisa Doebley. 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 Anna-Lisa Doebley. The network helps show where Anna-Lisa Doebley may publish in the future.

Co-authorship network of co-authors of Anna-Lisa Doebley

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 7
2 16
3
S-cone function in Blue Cone Monochromacy
1
4 16
5 5
6 18
7 120
8 95
9 31
10 3
11
piRNAs Can Trigger a Multigenerational Epigenetic Memory in the Germline of C. elegansbreakdown →
521

About Anna-Lisa Doebley

Anna-Lisa Doebley is a scholar working on Aging, Immunology and Allergy and Obstetrics and Gynecology, having authored 11 papers that have together received 833 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Aging (302 citations), Molecular Biology (663 citations) and Genetics (191 citations). Anna-Lisa Doebley has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Leonard D. Goldstein, Aisa Sakaguchi, Shawn Ahmed, Peter Sarkies, Eric A. Miska, Jacinth Mitchell, Alexandra Sapetschnig, Eva‐Maria Weick, Alyson Ashe and Nicolas J. Lehrbach. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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