Anna Parnis

829 citations
15 papers · 674 · h-index 9

Impact in

    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
  • Cell Biology top 10%
    • Cellular transport and secretion

Papers in

    • Cellular transport and secretion 7
    • Lipid Membrane Structure and Behavior 4
    • Muscle Physiology and Disorders 3
    • Plant Reproductive Biology 2
    • Ubiquitin and proteasome pathways 2

Anna Parnis

15 papers receiving 663 citations

Peers

Anna Parnis
Comparison fields: 5 of 78
  • Plant Science 373
  • Cell Biology 121
  • Molecular Biology 461
  • Physiology 15
  • Horticulture 2
Replace Chong Han Ng with:
Chong Han Ng Malaysia
Dongbin Xu China
Sookhee Park United States
Cheng Chang China
T. P. V. Hartman United Kingdom
Maureen Colbert United States
Lorelei B. Silverman‐Gavrila Canada
Yongming Xue China
Maria Palmieri United States
Anna Cedzich Germany
Anna Parnis relative to Chong Han Ng Malaysia Chong Han Ng's profile →
Citations per field
00.5×2×3.3×
Chong Han Ng · 1×
Citations per year

Countries citing papers authored by Anna Parnis

Since Specialization
Citations

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

Fields of papers citing papers by Anna Parnis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2006260
2 1997135
3 202095
4 200840
5 202037
6 200522
7 202117
8 200817
9 201016
10 20129
11 20168
12 20197
13 20155
14 20174
15 20172

About Anna Parnis

Anna Parnis is a scholar working on Cell Biology, Molecular Biology, Physiology, Rehabilitation and Physiology, having authored 15 papers that have together received 674 indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Lipid Membrane Structure and Behavior (4 papers), Muscle Physiology and Disorders (3 papers), Plant Reproductive Biology (2 papers), Plant Molecular Biology Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Behavioral and Psychological Studies (1 paper) and Child and Animal Learning Development (1 paper). The work is most often cited by research in Plant Science (373 citations), Cell Biology (121 citations), Molecular Biology (461 citations), Physiology (15 citations) and Horticulture (2 citations). Anna Parnis has collaborated with scholars based in Israel, France and Germany. Frequent co-authors include Eliezer Lifschitz, Paula Teper‐Bamnolker, George Coupland, Ravit Eshed, Alon Samach, Dana Hareven, Tamar Gutfinger, Dani Zamir, Ofir Cohen and Shenhav Cohen. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, PLoS ONE, The Plant Journal and The Plant Cell.

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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