Pille Pata

430 citations
15 papers · 310 · h-index 9

Impact in

Papers in

    • CRISPR and Genetic Engineering 2
    • RNA Interference and Gene Delivery 2
    • Single-cell and spatial transcriptomics 1
    • Cell Image Analysis Techniques 3

Pille Pata

14 papers receiving 307 citations

Peers

Pille Pata
Comparison fields: 5 of 71
  • Aging 12
  • Geriatrics and Gerontology 12
  • Physiology 70
  • Molecular Biology 183
  • Biophysics 14
Replace Shawna Benjamin-Davalos with:
Shawna Benjamin-Davalos United States
Elisabeth Roider United States
Lotte Bruens Netherlands
Zsolt Pálfia Hungary
Viktoriya Pastukh United States
Pavla Vašicová Czechia
Eugenia Y. Xu United States
Xinyuan Liu China
Masahiro Wakita Japan
Zsuzsanna Takács Germany
Pille Pata relative to Shawna Benjamin-Davalos United States Shawna Benjamin-Davalos's profile →
Citations per field
00.5×2.8×
Shawna Benjamin-Davalos · 1×
Citations per year

Countries citing papers authored by Pille Pata

Since Specialization
Citations

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

Fields of papers citing papers by Pille Pata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pille Pata, 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 Pille Pata Line = papers co-authored together Pille Pata links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201883
2 201665
3 201250
4 201532
5 202219
6 202014
7 202111
8 201610
9 20228
10 20188
11 20233
12 20193
13 20243
14 20191
15 20250

About Pille Pata

Pille Pata is a scholar working on Molecular Biology, Biophysics, Biomedical Engineering, Geriatrics and Gerontology and Oncology, having authored 15 papers that have together received 310 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Interference and Gene Delivery (2 papers), Single-cell and spatial transcriptomics (1 paper), Plant Molecular Biology Research (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Aging (12 citations), Geriatrics and Gerontology (12 citations), Physiology (70 citations), Molecular Biology (183 citations) and Biophysics (14 citations). Pille Pata has collaborated with scholars based in Estonia, United Kingdom and Czechia. Frequent co-authors include Illar Pata, Manlio Vinciguerra, Martin Mistrík, Jiří Bártek, Erkki Truve, Heiti Paves, Oriana Lo Re, Ott Scheler, Mohammad Azab and John F. Lyons. Their work appears in journals such as GeroScience, Clinical Epigenetics, Stem Cells, Potato Research and Analytica Chimica Acta.

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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