Lia Panman

1.5k citations
16 papers · 1.1k · h-index 13

Impact in

Papers in

    • Pluripotent Stem Cells Research 6
    • Developmental Biology and Gene Regulation 5
    • CRISPR and Genetic Engineering 3
    • Congenital heart defects research 2
    • Hedgehog Signaling Pathway Studies 2
    • Nuclear Receptors and Signaling 2

Lia Panman

16 papers receiving 1.1k citations

Peers

Lia Panman
Comparison fields: 5 of 83
  • Developmental Biology 96
  • Developmental Neuroscience 77
  • Cellular and Molecular Neuroscience 276
  • Molecular Biology 790
  • Genetics 159
Replace Dawn Zinyk with:
Dawn Zinyk Canada
Qimin Gu United States
Sohyun Ahn United States
Joris Andrieux France
Dafe Uwanogho United Kingdom
P. H. Francis‐West United Kingdom
Jinsuke Nishino Japan
Alice Goldenberg France
Eva Reissmann Sweden
David C. Martinelli United States
Lia Panman relative to Dawn Zinyk Canada Dawn Zinyk's profile →
Citations per field
00.5×1.5×2.5×
Dawn Zinyk · 1×
Citations per year

Countries citing papers authored by Lia Panman

Since Specialization
Citations

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

Fields of papers citing papers by Lia Panman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2004294
2 2010134
3 2004115
4 2014112
5 201197
6 200688
7 201154
8 201841
9 200339
10 201838
11 200528
12 201325
13 202121
14 20239
15 20208
16 20112

About Lia Panman

Lia Panman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Biology, Cell Biology and Developmental Neuroscience, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Developmental Biology and Gene Regulation (5 papers), Congenital limb and hand anomalies (3 papers), CRISPR and Genetic Engineering (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Congenital heart defects research (2 papers), Nuclear Receptors and Signaling (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Developmental Biology (96 citations), Developmental Neuroscience (77 citations), Cellular and Molecular Neuroscience (276 citations), Molecular Biology (790 citations) and Genetics (159 citations). Lia Panman has collaborated with scholars based in United Kingdom, Sweden and Netherlands. Frequent co-authors include Rolf Zeller, Aimée Zúñiga, Odyssé Michos, Kristina Vintersten, Konstantin Beier, Thomas Perlmann, Johan Ericson, Eliza Joodmardi, Nikolaos Volakakis and Antonella Galli. Their work appears in journals such as Development, Stem Cells, Nature Communications, BMC 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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