N. Lieska

1.1k citations
31 papers · 865 · h-index 15

Impact in

    • Skin and Cellular Biology Research
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Neurogenesis and neuroplasticity mechanisms

Papers in

    • Connexins and lens biology 9
    • RNA Research and Splicing 3
    • S100 Proteins and Annexins 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Skin and Cellular Biology Research 9
    • Cellular Mechanics and Interactions 3

N. Lieska

31 papers receiving 829 citations

Peers

N. Lieska
Comparison fields: 5 of 93
  • Cell Biology 327
  • Developmental Neuroscience 66
  • Molecular Biology 551
  • Neurology 56
  • Immunology and Allergy 36
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N. Lieska relative to Ryuji Kodama Japan Ryuji Kodama's profile →
Citations per field
00.5×1.5×
Ryuji Kodama · 1×
Citations per year

Countries citing papers authored by N. Lieska

Since Specialization
Citations

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

Fields of papers citing papers by N. Lieska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985139
2 1975136
3 1985103
4 200157
5 199343
6 198541
7 199434
8 199734
9 198033
10 198331
11 199228
12 198221
13 197721
14 198621
15 197617
16 199312
17 198211
18 197910
19 19949
20 19919

About N. Lieska

N. Lieska is a scholar working on Molecular Biology, Cell Biology, Surgery, Cardiology and Cardiovascular Medicine and Physiology, having authored 31 papers that have together received 865 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (9 papers), Connexins and lens biology (9 papers), RNA Research and Splicing (3 papers), S100 Proteins and Annexins (3 papers), Cellular Mechanics and Interactions (3 papers), Cardiovascular Effects of Exercise (3 papers), Physiological and biochemical adaptations (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cell Biology (327 citations), Developmental Neuroscience (66 citations), Molecular Biology (551 citations), Neurology (56 citations) and Immunology and Allergy (36 citations). N. Lieska has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include H. Maisel, Robert D. Goldman, Anne E. Goldman, Hsi‐Yuan Yang, J. Alcalá, George D. Pappas, A.E. Romero-Herrera, Hsiang‐Yu Yang, V. Kriho and Jonathan Jones. Their work appears in journals such as Ophthalmic Research, Muscle & Nerve, The Journal of Cell Biology, Current Eye Research and Experimental Eye Research.

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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