Helena Jambor

1.4k citations
17 papers · 519 · h-index 9

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics

Papers in

    • Genomics and Chromatin Dynamics 4
    • RNA Research and Splicing 4
    • Genetics, Bioinformatics, and Biomedical Research 3
    • Developmental Biology and Gene Regulation 3
    • CRISPR and Genetic Engineering 2
    • Cell Image Analysis Techniques 4

Helena Jambor

15 papers receiving 515 citations

Peers

Helena Jambor
Comparison fields: 5 of 91
  • Cell Biology 113
  • Aging 11
  • Biophysics 35
  • Molecular Biology 388
  • Cellular and Molecular Neuroscience 56
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Helena Jambor relative to Erik Segerdell United States Erik Segerdell's profile →
Citations per field
00.5×1.5×2.2×
Erik Segerdell · 1×
Citations per year

Countries citing papers authored by Helena Jambor

Since Specialization
Citations

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

Fields of papers citing papers by Helena Jambor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2015114
2 2015107
3 201170
4 202067
5 201449
6 202134
7 201531
8 202123
9 202311
10 20233
11 20202
12 20162
13 20242
14 20232
15 20231
16 20221
17 20240

About Helena Jambor

Helena Jambor is a scholar working on Molecular Biology, Biophysics, Computer Vision and Pattern Recognition, History and Philosophy of Science and Sociology and Political Science, having authored 17 papers that have together received 519 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Developmental Biology and Gene Regulation (3 papers), CRISPR and Genetic Engineering (2 papers), Data Visualization and Analytics (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Cell Biology (113 citations), Aging (11 citations), Biophysics (35 citations), Molecular Biology (388 citations) and Cellular and Molecular Neuroscience (56 citations). Helena Jambor has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Anne Ephrussi, Pavel Tomančák, Christine Brunel, Stephan Saalfeld, Alex T. Kalinka, Vineeth Surendranath, Sandra Mueller, Simon L. Bullock, Andreas Sagner and Sebastian Dunst. Their work appears in journals such as RNA, PLoS Biology, Biopreservation and Biobanking, PLoS Computational Biology and Cell Reports.

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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