Giulia Fulci
Impact in
Papers in
-
- Protein Degradation and Inhibitors 4
- RNA Interference and Gene Delivery 4
- Viral Infectious Diseases and Gene Expression in Insects 4
- Oncology 19
- CAR-T cell therapy research 10
- Cancer-related Molecular Pathways 5
- Co-authors
- E. Antonio Chiocca (8 shared papers)Erwin G. Van Meir (7 shared papers)Ralph Weissleder (7 shared papers)Balveen Kaur (5 shared papers)Davide Gianni (4 shared papers)Jianjun Paul Tian (1 shared paper)Jin Wang (1 shared paper)Avner Friedman (1 shared paper)
- Journals
- Journal of Clinical Oncology (6 papers)Cancer Research (3 papers)Neoplasia (2 papers)Molecular Therapy (2 papers)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Giulia Fulci
39 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 86
- Genetics 1.0k
- Oncology 781
- Biotechnology 168
- Genetics 173
- Cancer Research 171
Countries citing papers authored by Giulia Fulci
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
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-authors
The 25 scholars most cited alongside Giulia Fulci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 287 | |
| 2 | 2006 | 162 | |
| 3 | 2007 | 142 | |
| 4 | 2007 | 137 | |
| 5 | 2000 | 113 | |
| 6 | 2004 | 96 | |
| 7 | 2000 | 90 | |
| 8 | 2017 | 82 | |
| 9 | 2006 | 72 | |
| 10 | 1998 | 70 | |
| 11 | 2013 | 70 | |
| 12 | Tumor cell targeting with antibody-avidin complexes and biotinylated tumor necrosis factor alpha. | 1997 | 64 |
| 13 | 2015 | 61 | |
| 14 | 2014 | 59 | |
| 15 | 2011 | 58 | |
| 16 | 2004 | 50 | |
| 17 | 2019 | 34 | |
| 18 | 2007 | 33 | |
| 19 | 2003 | 30 | |
| 20 | 2011 | 28 |
About Giulia Fulci
Giulia Fulci is a scholar working on Molecular Biology, Oncology, Genetics, Epidemiology and Hematology, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), CAR-T cell therapy research (10 papers), Multiple Myeloma Research and Treatments (6 papers), Cancer-related Molecular Pathways (5 papers), Herpesvirus Infections and Treatments (5 papers), Protein Degradation and Inhibitors (4 papers), RNA Interference and Gene Delivery (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Genetics (1.0k citations), Oncology (781 citations), Biotechnology (168 citations), Genetics (173 citations) and Cancer Research (171 citations). Giulia Fulci has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include E. Antonio Chiocca, Erwin G. Van Meir, Ralph Weissleder, Balveen Kaur, Davide Gianni, Jianjun Paul Tian, Jin Wang, Avner Friedman, Hiroaki Wakimoto and Nobuaki Ishii. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Neoplasia, Molecular Therapy and Magnetic Resonance in Medicine.
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.