William P. Bozza

601 citations
15 papers · 452 · h-index 12

Impact in

Papers in

    • Ubiquitin and proteasome pathways 4
    • Cell death mechanisms and regulation 3
    • DNA Repair Mechanisms 2
    • RNA Interference and Gene Delivery 2
    • Cancer-related Molecular Pathways 2

William P. Bozza

15 papers receiving 447 citations

Peers

William P. Bozza
Comparison fields: 5 of 79
  • Immunology 97
  • Biotechnology 39
  • Oncology 95
  • Molecular Biology 250
  • Cardiology and Cardiovascular Medicine 56
Replace Jamil W. Talhouk with:
Jamil W. Talhouk United States
Susan Cannon‐Carlson United States
Anastasiya V. Lipatova Russia
Hiroko Toyota Japan
Leslie A. Rivera Rosado United States
Albert E. Schmelzer United States
Wilma Dormeyer Germany
Tarikere Gururaja United States
Jumi A. Shin Canada
Priya Vishnubhotla United States
William P. Bozza relative to Jamil W. Talhouk United States Jamil W. Talhouk's profile →
Citations per field
00.5×10×15×18.7×
Jamil W. Talhouk · 1×
Citations per year

Countries citing papers authored by William P. Bozza

Since Specialization
Citations

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

Fields of papers citing papers by William P. Bozza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William P. Bozza. 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 William P. Bozza. The network helps show where William P. Bozza may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201479
2 201573
3 201965
4 202047
5 201139
6 201826
7 201822
8 201418
9 201517
10 201216
11 202114
12 201111
13 202110
14 20148
15 20127

About William P. Bozza

William P. Bozza is a scholar working on Molecular Biology, Oncology, Cell Biology, Neurology and Immunology, having authored 15 papers that have together received 452 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Cell death mechanisms and regulation (3 papers), DNA Repair Mechanisms (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), RNA Interference and Gene Delivery (2 papers), Cancer-related Molecular Pathways (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (97 citations), Biotechnology (39 citations), Oncology (95 citations), Molecular Biology (250 citations) and Cardiology and Cardiovascular Medicine (56 citations). William P. Bozza has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Baolin Zhang, Zhihao Zhuang, Leslie A. Rivera Rosado, Julianne D. Twomey, Baolin Zhang, William H. Tolleson, K. Melodi McSweeney, Su-Ryun Kim, Liqun Zhao and Junjun Chen. Their work appears in journals such as Oncotarget, Drug Resistance Updates, Biochemistry, Analytical Biochemistry and Drug Discovery Today.

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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