Anna Baccei

962 citations
7 papers · 710 · 1 hit paper · h-index 6

Impact in

    • Renal and related cancers
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering

Papers in

    • Pluripotent Stem Cells Research 4
    • CRISPR and Genetic Engineering 3
    • Advanced biosensing and bioanalysis techniques 2
    • Renal and related cancers 2
    • RNA Research and Splicing 1

Anna Baccei

7 papers receiving 703 citations

Anna Baccei's Hit Papers

Modelling kidney disease with CRISPR-mutant kidney organoids derived from human pluripotent epiblast spheroids 2015 · 567 citations
5670+3+7Years since publication100200300400500

Peers

Anna Baccei
Comparison fields: 5 of 64
  • Molecular Biology 634
  • Aging 12
  • Nephrology 41
  • Business and International Management 11
  • Pulmonary and Respiratory Medicine 166
Replace Kate Wagner with:
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Anna Baccei relative to Kate Wagner United Kingdom Kate Wagner's profile →
Citations per field
00.5×5.9×
Kate Wagner · 1×
Citations per year

Countries citing papers authored by Anna Baccei

Since Specialization
Citations

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

Fields of papers citing papers by Anna Baccei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Modelling kidney disease with CRISPR-mutant kidney organoids derived from human pluripotent epiblast spheroids
Hit paper breakdown →
2015567
2 201376
3 201420
4 201620
5 201815
6 20167
7 20145

About Anna Baccei

Anna Baccei is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Clinical Biochemistry and Genetics, having authored 7 papers that have together received 710 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Renal and related cancers (2 papers), MicroRNA in disease regulation (1 paper), Cell Image Analysis Techniques (1 paper), RNA Research and Splicing (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Molecular Biology (634 citations), Aging (12 citations), Nephrology (41 citations), Business and International Management (11 citations) and Pulmonary and Respiratory Medicine (166 citations). Anna Baccei has collaborated with scholars based in United States and Canada. Frequent co-authors include Paul H. Lerou, Junjie Lu, Michael R. Hughes, Joseph V. Bonventre, Ryan Vander Werff, M. Todd Valerius, Craig R. Brooks, Benjamin Freedman, Vishesh Agrawal and Kelly M. McNagny. Their work appears in journals such as Nature Communications, Stem Cells and Development, Cell Reports, Stem Cells and PLoS ONE.

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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