Zsofia A. Novak

621 citations
10 papers · 406 · h-index 9

Impact in

Papers in

    • Microtubule and mitosis dynamics 10
    • Cellular transport and secretion 1
    • Photosynthetic Processes and Mechanisms 3
    • RNA Research and Splicing 1
    • Protist diversity and phylogeny 1

Zsofia A. Novak

10 papers receiving 398 citations

Peers

Zsofia A. Novak
Comparison fields: 5 of 27
  • Cell Biology 367
  • Structural Biology 11
  • Molecular Biology 333
  • Aging 6
  • Genetics 85
Replace Irina Tikhonenko with:
Irina Tikhonenko United States
Bahtiyar Kurtulmus Germany
Isabelle Loïodice France
Colin J. Fuller United States
Veronica Farmer United States
Thomas J. Keating United States
Diana Rüthnick Germany
Ana Milas Croatia
Christina L. Hueschen United States
M.A. Cottee United Kingdom
Zsofia A. Novak relative to Irina Tikhonenko United States Irina Tikhonenko's profile →
Citations per field
00.5×3.3×
Irina Tikhonenko · 1×
Citations per year

Countries citing papers authored by Zsofia A. Novak

Since Specialization
Citations

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

Fields of papers citing papers by Zsofia A. Novak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zsofia A. Novak. 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 Zsofia A. Novak. The network helps show where Zsofia A. Novak may publish in the future.

Co-authors

The 20 scholars most cited alongside Zsofia A. Novak, 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 Zsofia A. Novak Line = papers co-authored together Zsofia A. Novak links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201491
2 201459
3 201651
4 201850
5 201632
6 201931
7 201530
8 202029
9 201527
10 20226

About Zsofia A. Novak

Zsofia A. Novak is a scholar working on Cell Biology, Molecular Biology, Plant Science, Genetics and Infectious Diseases, having authored 10 papers that have together received 406 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Plant Molecular Biology Research (3 papers), Genetic and Kidney Cyst Diseases (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (1 paper), Cellular transport and secretion (1 paper) and Protist diversity and phylogeny (1 paper). The work is most often cited by research in Cell Biology (367 citations), Structural Biology (11 citations), Molecular Biology (333 citations), Aging (6 citations) and Genetics (85 citations). Zsofia A. Novak has collaborated with scholars based in United Kingdom and South Sudan. Frequent co-authors include Jordan W. Raff, Alan Wainman, Paul T. Conduit, Jan Baumbach, Saroj Saurya, Carly I. Dix, Ian M. Dobbie, Jennifer H. Richens, Lothar Schermelleh and James Holder. Their work appears in journals such as eLife, The Journal of Cell Biology, Developmental Cell, Cell and Current 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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