Veronica Biga

474 citations
14 papers · 284 · h-index 8

Impact in

Papers in

    • Pluripotent Stem Cells Research 6
    • Single-cell and spatial transcriptomics 3
    • Developmental Biology and Gene Regulation 3
    • Gene Regulatory Network Analysis 3
    • Microtubule and mitosis dynamics 2

Veronica Biga

12 papers receiving 279 citations

Peers

Veronica Biga
Comparison fields: 5 of 59
  • Developmental Neuroscience 23
  • Biophysics 23
  • Molecular Biology 209
  • Cell Biology 42
  • Aging 4
Replace Michael Strasser with:
Michael Strasser Germany
Mark R. Verardo United States
Edgar Cardenas De La Hoz Belgium
Peter Berube United States
Xiaoguang Li China
Aurélien Rizk France
Arnaud Gelas United States
Cindy M. Nguyen United States
Linjing Fang United States
Tommaso Biancalani United States
Veronica Biga relative to Michael Strasser Germany Michael Strasser's profile →
Citations per field
00.5×1.6×
Michael Strasser · 1×
Citations per year

Countries citing papers authored by Veronica Biga

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Biga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201462
2 201945
3 200845
4 201634
5 202025
6 201823
7 202120
8 202118
9 20226
10 20154
11 20251
12 20241
13 20250
14 20250

About Veronica Biga

Veronica Biga is a scholar working on Molecular Biology, Cell Biology, Biophysics, Statistical and Nonlinear Physics and Biomedical Engineering, having authored 14 papers that have together received 284 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Single-cell and spatial transcriptomics (3 papers), Developmental Biology and Gene Regulation (3 papers), Gene Regulatory Network Analysis (3 papers), Cell Image Analysis Techniques (2 papers), stochastic dynamics and bifurcation (2 papers), 3D Printing in Biomedical Research (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Developmental Neuroscience (23 citations), Biophysics (23 citations), Molecular Biology (209 citations), Cell Biology (42 citations) and Aging (4 citations). Veronica Biga has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Daniel Coca, Nancy Papalopulu, Tudor Barbu, Viorel Barbu, Ivana Barbaric, Peter W. Andrews, Cerys Manning, Jochen Kursawe, Mark Jones and Dylan Stavish. Their work appears in journals such as Stem Cell Reports, Biology Open, The EMBO Journal, iScience and Nature Communications.

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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