David A. Proia

4.4k citations
57 papers · 2.6k · h-index 31

Impact in

  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • Heat shock proteins research
    • ATP Synthase and ATPases Research
    • Ubiquitin and proteasome pathways

Papers in

    • Heat shock proteins research 34
    • ATP Synthase and ATPases Research 10
    • Ubiquitin and proteasome pathways 5
    • Protein Degradation and Inhibitors 5
    • Renal and related cancers 3

David A. Proia

57 papers receiving 2.6k citations

Peers

David A. Proia
Comparison fields: 5 of 93
  • Oncology 846
  • Molecular Biology 1.8k
  • Cancer Research 310
  • Aging 30
  • Cell Biology 251
Replace Takehiko Dohi with:
Takehiko Dohi United States
Jessie Villanueva United States
Marzia Pennati Italy
Manik Chatterjee Germany
James Hulit United States
Phillip Buckhaults United States
Nicolas Dumaz France
Elżbieta Izbicka United States
Jagadish C. Ghosh United States
Rudolf Nenutil Czechia
David A. Proia relative to Takehiko Dohi United States Takehiko Dohi's profile →
Citations per field
00.5×1.5×1.8×
Takehiko Dohi · 1×
Citations per year

Countries citing papers authored by David A. Proia

Since Specialization
Citations

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

Fields of papers citing papers by David A. Proia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Proia. 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 David A. Proia. The network helps show where David A. Proia may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015277
2 2011184
3 2013175
4 2007138
5 2006114
6 2012102
7 201496
8 201489
9 201283
10 201480
11 201371
12 201165
13 201264
14 201562
15 201457
16 201457
17 201554
18 201353
19 201250
20 201649

About David A. Proia

David A. Proia is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Genetics and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 2.6k indexed citations. Recurring topics across this work include Heat shock proteins research (34 papers), ATP Synthase and ATPases Research (10 papers), Computational Drug Discovery Methods (7 papers), Ubiquitin and proteasome pathways (5 papers), Protein Degradation and Inhibitors (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Effects of Radiation Exposure (4 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Oncology (846 citations), Molecular Biology (1.8k citations), Cancer Research (310 citations), Aging (30 citations) and Cell Biology (251 citations). David A. Proia has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Richard C. Bates, Charlotte Kuperwasser, Jim Sang, Suqin He, Donald L. Smith, Manuel Sequeira, Chaohua Zhang, Jaime Acquaviva, Yumiko Wada and Matthias Dobbelstein. Their work appears in journals such as Clinical Cancer Research, Molecular Cancer Therapeutics, Cancer Research, PLoS ONE and Investigational New Drugs.

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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