Paul Cozzi

3.6k citations
67 papers · 3.1k · h-index 31

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 2%
    • Cancer Cells and Metastasis

Papers in

Paul Cozzi

65 papers receiving 3.0k citations

Peers

Paul Cozzi
Comparison fields: 5 of 116
  • Cancer Research 537
  • Oncology 883
  • Pulmonary and Respiratory Medicine 743
  • Hepatology 137
  • Molecular Biology 1.1k
Replace So Dug Lim with:
So Dug Lim South Korea
Leonard J. Appleman United States
Shunsuke Kagawa Japan
Qifeng Wang China
Joseph Bucci Australia
Ingo B. Runnebaum Germany
Kokichi Sugano Japan
Sachiyo Nomura Japan
Angela F. Drew United States
Zahra Madjd Iran
Paul Cozzi relative to So Dug Lim South Korea So Dug Lim's profile →
Citations per field
00.5×3.3×
So Dug Lim · 1×
Citations per year

Countries citing papers authored by Paul Cozzi

Since Specialization
Citations

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

Fields of papers citing papers by Paul Cozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013327
2 2014267
3 2009231
4 2013161
5 2015155
6 2014135
7 2005111
8 2014108
9 199594
10 200788
11 200171
12 201270
13 201270
14 199869
15 200663
16 201763
17 199456
18 201053
19 201550
20 201450

About Paul Cozzi

Paul Cozzi is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Epidemiology and Cancer Research, having authored 67 papers that have together received 3.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (13 papers), Cancer Cells and Metastasis (8 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Glycosylation and Glycoproteins Research (5 papers), Immunotherapy and Immune Responses (5 papers), Peptidase Inhibition and Analysis (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Cancer Research (537 citations), Oncology (883 citations), Pulmonary and Respiratory Medicine (743 citations), Hepatology (137 citations) and Molecular Biology (1.1k citations). Paul Cozzi has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Yong Li, Peter Graham, Jie Ni, Joseph Bucci, John H. Kearsley, Jingli Hao, David L. Morris, Lei Chang, Warick Delprado and Pamela J. Russell. Their work appears in journals such as The Journal of Urology, Current Cancer Drug Targets, The Prostate, Critical Reviews in Oncology/Hematology and BMC Urology.

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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