Paolo Tarantino

5.6k citations
128 papers · 3.2k indexed · 7 hit papers · h-index 28

Paolo Tarantino

118 papers receiving 3.2k citations

Hit Papers

The Journey of Antibody–Dru...652020202620222024100200300400

Peers

Paolo Tarantino
Comparison fields: 5 of 113
  • Oncology 2.3k
  • Cancer Research 777
  • Radiology, Nuclear Medicine and Imaging 1000
  • Pulmonary and Respiratory Medicine 826
  • Genetics 148
Replace Valentina Boni with:
Valentina Boni Spain
Philippe Aftimos Belgium
Binghe Xu China
Zefei Jiang China
Susan Galbraith United States
Julia A. Beaver United States
Paul Frankel United States
Guido Lammering Netherlands
Hisato Kawakami Japan
Yoichi Naito Japan
Paolo Tarantino relative to Valentina Boni Spain Valentina Boni's profile →
Citations per field
00.5×2.9×
Valentina Boni · 1×
Citations per year

Countries citing papers authored by Paolo Tarantino

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Tarantino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20254
4 20242
5 20242
6 20244
7
The Journey of Antibody–Drug Conjugates: Lessons Learned from 40 Years of Developmentbreakdown →
202465
8 20247
9 202321
10 20230
11 202321
12 202345
13 202316
14 202310
15 202319
16 20231
17 202241
18 202128
19 20215
20 201888

About Paolo Tarantino

Paolo Tarantino is a scholar working on Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 128 papers that have together received 3.2k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (71 papers), Monoclonal and Polyclonal Antibodies Research (36 papers), Advanced Breast Cancer Therapies (32 papers), Breast Cancer Treatment Studies (28 papers), Cancer Treatment and Pharmacology (18 papers), Cancer Immunotherapy and Biomarkers (15 papers), CAR-T cell therapy research (14 papers) and Cancer Genomics and Diagnostics (11 papers). The work is most often cited by research in Oncology (2.3k citations), Cancer Research (777 citations) and Radiology, Nuclear Medicine and Imaging (1000 citations). Paolo Tarantino has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Giuseppe Curigliano, Sara M. Tolaney, Chiara Corti, Stefania Morganti, Dario Trapani, Emanuela Ferraro, Federica Giugliano, Javier Cortés, Fabrice André and Antonio Marra. Their work appears in journals such as ESMO Open, Journal of Clinical Oncology, European Journal of Cancer, Cancer Treatment Reviews and Cancers.

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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