Anna Kicheva

3.1k citations
33 papers · 2.1k · h-index 20

Impact in

Papers in

    • Developmental Biology and Gene Regulation 23
    • Pluripotent Stem Cells Research 7
    • Hedgehog Signaling Pathway Studies 4
    • Planarian Biology and Electrostimulation 4
    • Cellular Mechanics and Interactions 13
    • Microtubule and mitosis dynamics 6

Anna Kicheva

33 papers receiving 2.0k citations

Peers

Anna Kicheva
Comparison fields: 5 of 102
  • Cell Biology 778
  • Developmental Neuroscience 102
  • Molecular Biology 1.6k
  • Modeling and Simulation 85
  • Aging 32
Replace Dagmar Iber with:
Dagmar Iber Switzerland
Carlos Carmona‐Fontaine United States
Boris Guirao France
Kaoru Sugimura Japan
Matthew C. Gibson United States
Miriam Osterfield United States
Aryeh Warmflash United States
Hideo Otsuna United States
Nadine Peyriéras France
Eric Théveneau United Kingdom
Anna Kicheva relative to Dagmar Iber Switzerland Dagmar Iber's profile →
Citations per field
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Dagmar Iber · 1×
Citations per year

Countries citing papers authored by Anna Kicheva

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kicheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007311
2 2011279
3 2009227
4 2010155
5 2014125
6 2017124
7 2015119
8 2008118
9 201275
10 200959
11 200858
12 202357
13 201254
14 201550
15 200649
16 201137
17 200834
18 202329
19 201922
20 201321

About Anna Kicheva

Anna Kicheva is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Biomedical Engineering and Genetics, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (23 papers), Cellular Mechanics and Interactions (13 papers), Pluripotent Stem Cells Research (7 papers), Microtubule and mitosis dynamics (6 papers), Hedgehog Signaling Pathway Studies (4 papers), Neurobiology and Insect Physiology Research (4 papers), 3D Printing in Biomedical Research (4 papers) and Planarian Biology and Electrostimulation (4 papers). The work is most often cited by research in Cell Biology (778 citations), Developmental Neuroscience (102 citations), Molecular Biology (1.6k citations), Modeling and Simulation (85 citations) and Aging (32 citations). Anna Kicheva has collaborated with scholars based in Austria, United Kingdom and Switzerland. Frequent co-authors include Marcos González‐Gaitán, James Briscoe, Ortrud Wartlick, Frank Jülicher, Tobias Bollenbach, Thomas Bittig, Periklis Pantazis, Yannis Kalaidzidis, M. Cohen and Carole Seum. Their work appears in journals such as Science, Development, Developmental Cell, Nature Communications 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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