Giulia Guarguaglini

3.2k citations
47 papers · 2.5k indexed · 1 hit paper · h-index 24
  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics 33
    • Cellular transport and secretion 6
    • Nuclear Structure and Function 8
    • Genomics and Chromatin Dynamics 8
    • DNA Repair Mechanisms 7
    • Ubiquitin and proteasome pathways 6
  • Oncology top 5%
    • Cancer-related Molecular Pathways 7
  • Aging top 10%
  • Genetics top 10%
    • Neuroblastoma Research and Treatments 5

Giulia Guarguaglini

46 papers receiving 2.5k citations

Hit Papers

Ran Induces Spindle Assembly by Reversing the Inhibitory ...5012001202620092017100200300400500

Peers

Giulia Guarguaglini
Comparison fields: 5 of 91
  • Cell Biology 1.5k
  • Molecular Biology 2.1k
  • Oncology 467
  • Aging 19
  • Genetics 209
Replace Gerben Vader with:
Gerben Vader Netherlands
Libor Macůrek Czechia
Matthias Hoffmann Germany
Irene C. Waizenegger Austria
Oliver J. Gruß Germany
Yinghui Mao United States
Anthony Tighe United Kingdom
Guillermo de Cárcer Spain
Kirsten Mundt United Kingdom
Henning F. Horn United States
Giulia Guarguaglini relative to Gerben Vader Netherlands Gerben Vader's profile →
Citations per field
00.5×1.5×1.8×
Gerben Vader · 1×
Citations per year

Countries citing papers authored by Giulia Guarguaglini

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Guarguaglini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20232
3 20238
4 20237
5 20216
6 202015
7 202026
8 20207
9 201911
10 201831
11 201766
12 201615
13 201668
14 201249
15 201147
16 201067
17 200870
18 2004193
19 1999407
20 199813

About Giulia Guarguaglini

Giulia Guarguaglini is a scholar working on Cell Biology, Molecular Biology and Neurology, having authored 47 papers that have together received 2.5k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (33 papers), Nuclear Structure and Function (8 papers), Genomics and Chromatin Dynamics (8 papers), DNA Repair Mechanisms (7 papers), Cancer-related Molecular Pathways (7 papers), Cellular transport and secretion (6 papers), Ubiquitin and proteasome pathways (6 papers) and Neuroblastoma Research and Treatments (5 papers). The work is most often cited by research in Cell Biology (1.5k citations), Molecular Biology (2.1k citations) and Oncology (467 citations). Giulia Guarguaglini has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Patrizia Lavia, Oliver J. Gruß, Rafael E. Carazo‐Salas, Iain W. Mattaj, Italia Anna Asteriti, Maria De Luca, Alexandra Segref, Eric Karsenti, Eric Karsenti and Christoph Schatz.

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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