Christopher E. Barbieri

12.0k citations
108 papers · 3.6k · h-index 33

Impact in

Papers in

Christopher E. Barbieri

100 papers receiving 3.6k citations

Peers

Christopher E. Barbieri
Comparison fields: 5 of 113
  • Cancer Research 844
  • Pulmonary and Respiratory Medicine 1.7k
  • Oncology 847
  • Molecular Biology 1.5k
  • Biotechnology 123
Replace Stephan Störkel with:
Stephan Störkel Germany
Tracy Curley United States
Jon Jones Germany
Shahnaz Begum United States
Sara Bravaccini Italy
Kirk J. Wojno United States
Leonard J. Appleman United States
Joseph Bucci Australia
Dongfeng Tan United States
Paola Gazzaniga Italy
Christopher E. Barbieri relative to Stephan Störkel Germany Stephan Störkel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Christopher E. Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Christopher E. Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher E. Barbieri. 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 Christopher E. Barbieri. The network helps show where Christopher E. Barbieri may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006191
2 2013185
3 2019175
4 2013166
5 2016165
6 2017164
7 2017143
8 2015138
9 2014118
10 2019118
11 2006102
12 201691
13 200790
14 201986
15 201884
16 201378
17 200368
18 200661
19 201459
20 200558

About Christopher E. Barbieri

Christopher E. Barbieri is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Oncology and Surgery, having authored 108 papers that have together received 3.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (41 papers), Prostate Cancer Treatment and Research (35 papers), Cancer, Lipids, and Metabolism (9 papers), Cancer-related Molecular Pathways (9 papers), Ubiquitin and proteasome pathways (8 papers), Cancer Genomics and Diagnostics (6 papers), Bladder and Urothelial Cancer Treatments (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (844 citations), Pulmonary and Respiratory Medicine (1.7k citations), Oncology (847 citations), Molecular Biology (1.5k citations) and Biotechnology (123 citations). Christopher E. Barbieri has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Jennifer A. Pietenpol, Mark A. Rubin, Andrea Sboner, Jonathan Shoag, Kimberly Brown, Mirjam Blattner, Francesca Demichelis, Deli Liu, Brian D. Robinson and Jim C. Hu. Their work appears in journals such as The Journal of Urology, Cancer Research, Urologic Oncology Seminars and Original Investigations, European Urology and Nature Communications.

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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