Giulia Paci

668 citations
15 papers · 493 · h-index 8

Impact in

Papers in

    • Nuclear Structure and Function 5
    • RNA Research and Splicing 5
    • Advanced Biosensing Techniques and Applications 5
    • Advanced biosensing and bioanalysis techniques 3
    • Advanced Fluorescence Microscopy Techniques 4

Giulia Paci

13 papers receiving 490 citations

Peers

Giulia Paci
Comparison fields: 5 of 72
  • Biophysics 63
  • Structural Biology 9
  • Molecular Biology 385
  • Organic Chemistry 115
  • Virology 17
Replace Jun Hee Kang with:
Jun Hee Kang Germany
Chi‐Wang Lin United States
Anne Pettikiriarachchi Australia
Katrin Schmidthals Germany
Marion Fillies Germany
Anna Rutkowska Germany
Dave Trinel France
Stefan Reinke Germany
Abram Calderon Germany
Daniel L. Parton United Kingdom
Giulia Paci relative to Jun Hee Kang Germany Jun Hee Kang's profile →
Citations per field
00.5×2.8×
Jun Hee Kang · 1×
Citations per year

Countries citing papers authored by Giulia Paci

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Paci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2016125
2 2019107
3 201781
4 202164
5 202038
6 201634
7 202116
8 201610
9 20186
10 20176
11 20222
12 20212
13 20251
14 20171
15 20200

About Giulia Paci

Giulia Paci is a scholar working on Molecular Biology, Biophysics, Organic Chemistry, Nutrition and Dietetics and Biomedical Engineering, having authored 15 papers that have together received 493 indexed citations. Recurring topics across this work include Nuclear Structure and Function (5 papers), RNA Research and Splicing (5 papers), Advanced Biosensing Techniques and Applications (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Trace Elements in Health (2 papers), Click Chemistry and Applications (2 papers) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Biophysics (63 citations), Structural Biology (9 citations), Molecular Biology (385 citations), Organic Chemistry (115 citations) and Virology (17 citations). Giulia Paci has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Edward A. Lemke, Gemma Estrada Girona, Giorgia Celetti, Virginia VanDelinder, George D. Bachand, Péter Kele, Eszter Kozma, Sofya Mikhaleva, Ivana Nikić and Christine Koehler. Their work appears in journals such as The Journal of Cell Biology, Chemical Communications, Seminars in Cell and Developmental Biology, Development and Journal of Cell Science.

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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