Vincent Caggiano

4.9k citations
55 papers · 3.8k indexed · 1 hit paper · h-index 23

Vincent Caggiano

55 papers receiving 3.6k citations

Hit Papers

Descriptive analysis of estrogen receptor (ER)‐negative, ...1.6k200720262013201950010001.5k

Peers

Vincent Caggiano
Comparison fields: 5 of 123
  • Cancer Research 1.8k
  • Oncology 2.5k
  • Pathology and Forensic Medicine 603
  • Genetics 658
  • Pulmonary and Respiratory Medicine 579
Replace Daniel Rea with:
Daniel Rea United Kingdom
A. Rubagotti Italy
Francesco Boccardo Italy
Xiaoyan Li China
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Vincent Caggiano relative to Daniel Rea United Kingdom Daniel Rea's profile →
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Citations per year

Countries citing papers authored by Vincent Caggiano

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Caggiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20195
3 201828
4 201720
5 201742
6 201621
7 201133
8 201067
9 2009259
10 200988
11 2008145
12
Descriptive analysis of estrogen receptor (ER)‐negative, progesterone receptor (PR)‐negative, and HER2‐negative invasive breast cancer, the so‐called triple‐negative phenotypebreakdown →
20071645
13 2005268
14 2001113
15 199854
16 19926
17 19922
18 19919
19 199012
20 198812

About Vincent Caggiano

Vincent Caggiano is a scholar working on Cancer Research, Oncology and Hematology, having authored 55 papers that have together received 3.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (24 papers), Global Cancer Incidence and Screening (12 papers), Breast Lesions and Carcinomas (8 papers), HER2/EGFR in Cancer Research (7 papers), Multiple Myeloma Research and Treatments (6 papers), BRCA gene mutations in cancer (5 papers), Advanced Breast Cancer Therapies (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Cancer Research (1.8k citations), Oncology (2.5k citations) and Pathology and Forensic Medicine (603 citations). Vincent Caggiano has collaborated with scholars based in United States and South Africa. Frequent co-authors include Carol Parise, Katrina Bauer, Monica Brown, Rosemary D. Cress, Walter T. Linde‐Zwirble, Richard V. Weiss, Alex Tsodikov, Patricia McGrath, Malcolm R. MacKenzie and Rafael Bornstein. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Critical Reviews in Oncology/Hematology, American Journal of Hematology and The Breast Journal.

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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