Daniel V. LaBarbera
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
- Natural Antidiabetic Agents Studies
- Toxicology top 5%
Papers in
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- Cancer therapeutics and mechanisms 7
- Oncology 17
- Cancer Cells and Metastasis 9
- Cancer-related Molecular Pathways 4
- Co-authors
- J. Mark Petrash (8 shared papers)Byong Hoon Yoo (5 shared papers)Brian G. Reid (4 shared papers)Qiong Zhou (22 shared papers)Linfeng Li (7 shared papers)Diganta Kalita (1 shared paper)David G. Holm (1 shared paper)Sastry S. Jayanty (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (6 papers)International Journal of Molecular Sciences (4 papers)SLAS DISCOVERY (4 papers)Oncogene (3 papers)Marine Drugs (2 papers)
- Partner nations
- United StatesHungaryBrazil
In The Last Decade
Daniel V. LaBarbera
53 papers receiving 1.9k citations
Daniel V. LaBarbera's Hit Papers
Peers
Comparison fields: 5 of 108
- Endocrinology, Diabetes and Metabolism 460
- Toxicology 65
- Oncology 477
- Biochemistry 100
- Biophysics 95
Countries citing papers authored by Daniel V. LaBarbera
This map shows the geographic impact of Daniel V. LaBarbera'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 Daniel V. LaBarbera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel V. LaBarbera more than expected).
Fields of papers citing papers by Daniel V. LaBarbera
This network shows the impact of papers produced by Daniel V. LaBarbera. 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 Daniel V. LaBarbera. The network helps show where Daniel V. LaBarbera may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel V. LaBarbera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic Analysis of 779 Advanced Differentiated and Anaplastic Thyroid Cancers Hit paper breakdown → | 2018 | 384 |
| 2 | 2012 | 202 | |
| 3 | 2018 | 191 | |
| 4 | 2011 | 109 | |
| 5 | 2015 | 92 | |
| 6 | 2012 | 91 | |
| 7 | 2012 | 45 | |
| 8 | 2014 | 44 | |
| 9 | 2013 | 44 | |
| 10 | 2021 | 43 | |
| 11 | 2018 | 43 | |
| 12 | 2012 | 42 | |
| 13 | 2006 | 39 | |
| 14 | 2014 | 36 | |
| 15 | 2004 | 35 | |
| 16 | 2014 | 34 | |
| 17 | 2009 | 33 | |
| 18 | 2017 | 29 | |
| 19 | 2007 | 29 | |
| 20 | 2020 | 26 |
About Daniel V. LaBarbera
Daniel V. LaBarbera is a scholar working on Molecular Biology, Oncology, Biotechnology, Cell Biology and Organic Chemistry, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Aldose Reductase and Taurine (8 papers), Marine Sponges and Natural Products (7 papers), Cancer therapeutics and mechanisms (7 papers), Advanced Glycation End Products research (5 papers), Synthesis and Biological Activity (4 papers), Cassava research and cyanide (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (460 citations), Toxicology (65 citations), Oncology (477 citations), Biochemistry (100 citations) and Biophysics (95 citations). Daniel V. LaBarbera has collaborated with scholars based in United States, Hungary and Brazil. Frequent co-authors include J. Mark Petrash, Byong Hoon Yoo, Brian G. Reid, Qiong Zhou, Linfeng Li, Diganta Kalita, David G. Holm, Sastry S. Jayanty, Jessica Ponder and Kun‐Che Chang. Their work appears in journals such as Journal of Medicinal Chemistry, International Journal of Molecular Sciences, SLAS DISCOVERY, Oncogene and Marine 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.