Giulia Fulci

2.7k citations
40 papers · 1.9k indexed · h-index 23
Topics
Virus-based gene therapy research (16 papers)CAR-T cell therapy research (10 papers)RNA Interference and Gene Delivery (5 papers)

In The Last Decade

Giulia Fulci

36 papers receiving 1.9k citations

Peers

Giulia Fulci
Comparison fields: 5 of 90
  • Genetics 1.0k
  • Molecular Biology 898
  • Oncology 857
  • Epidemiology 272
  • Immunology 263
Replace Tomotsugu Ichikawa with:
Tomotsugu Ichikawa Japan
Victor W. van Beusechem Netherlands
Amin Hajitou United Kingdom
Dirk M. Nettelbeck Germany
Joanne T. Douglas United States
Dea Nagy United States
Toshihiro Mineta Japan
Thomas C. Harding United States
Sushrusha Nayak United States
Antonina Rait United States
Giulia Fulci relative to Tomotsugu Ichikawa Japan Tomotsugu Ichikawa's profile →
Citations per field
00.5×1.5×
Tomotsugu Ichikawa · 1×
Citations per year

Countries citing papers authored by Giulia Fulci

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Fulci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Fulci

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Fulci. A scholar is included among the top collaborators of Giulia Fulci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giulia Fulci. Giulia Fulci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 11
3 8
4 4
5 34
6 11
7 59
8 23
9 29
10 57
11 135
12 72
13 50
14 95
15 30
16 89
17 113
18 20
19 69
20
Tumor cell targeting with antibody-avidin complexes and biotinylated tumor necrosis factor alpha.
64

About Giulia Fulci

Giulia Fulci is a scholar working on Oncology, Genetics and Hematology, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), CAR-T cell therapy research (10 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Genetics (1.0k citations), Oncology (857 citations) and Biotechnology (191 citations). Giulia Fulci has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include E. Antonio Chiocca, Erwin G. Van Meir, Ralph Weissleder, Balveen Kaur, Davide Gianni, Jin Wang, Jianjun Paul Tian, Avner Friedman, Hiroaki Wakimoto and Nobuaki Ishii. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Clinical Oncology.

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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