Anna Pilko

760 citations
10 papers · 478 · h-index 8

Impact in

  • Biophysics top 5%
    • Cell Image Analysis Techniques
    • Gene Regulatory Network Analysis
    • Single-cell and spatial transcriptomics
    • Receptor Mechanisms and Signaling

Papers in

Anna Pilko

9 papers receiving 473 citations

Peers

Anna Pilko
Comparison fields: 5 of 92
  • Biophysics 75
  • Molecular Biology 279
  • Aging 7
  • Ecology, Evolution, Behavior and Systematics 68
  • Genetics 91
Replace James Cotterell with:
James Cotterell Spain
Manu Manu United States
Junjiajia Long United States
Zachary Katz United States
Justin Crocker United States
Dalia Rosin Israel
Vitaly V. Gursky Russia
Francesco Paolo Casale United Kingdom
Larissa Heinrich United States
Gabriele Putz Germany
Anna Pilko relative to James Cotterell Spain James Cotterell's profile →
Citations per field
00.5×2.8×
James Cotterell · 1×
Citations per year

Countries citing papers authored by Anna Pilko

Since Specialization
Citations

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

Fields of papers citing papers by Anna Pilko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Anna Pilko, 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 Anna Pilko Line = papers co-authored together Anna Pilko links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2014262
2 201649
3 201346
4 201546
5 201833
6 201618
7 201811
8 20137
9 20206
10
Uszkodzenia lisci czarnej porzeczki spowodowane zerowaniem przedziorka chmielowca [Tetranychus urticae Koch.]
19990

About Anna Pilko

Anna Pilko is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics, Cellular and Molecular Neuroscience and Physical and Theoretical Chemistry, having authored 10 papers that have together received 478 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (4 papers), Animal Behavior and Reproduction (4 papers), Gene Regulatory Network Analysis (3 papers), Single-cell and spatial transcriptomics (2 papers), Plant and animal studies (2 papers), Receptor Mechanisms and Signaling (2 papers), Insect and Pesticide Research (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Biophysics (75 citations), Molecular Biology (279 citations), Aging (7 citations), Ecology, Evolution, Behavior and Systematics (68 citations) and Genetics (91 citations). Anna Pilko has collaborated with scholars based in United States, Poland and Belgium. Frequent co-authors include Roy Wollman, Jason Yao, Lev S. Tsimring, John G. Albeck, Brooks Taylor, Alexander Hoffmann, Jangir Selimkhanov, Deborah M. Gordon, Krista K. Ingram and Jeffrey Heer. Their work appears in journals such as iScience, Journal of Animal Ecology, Science, Journal of Experimental Biology and Oecologia.

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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