David J. Figueroa
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Oncology top 5%
- Immunology top 5%
- Physiology top 5%
- Co-authors
- Christopher P. AustinKonstantin PetrukhinJilly F. EvansWen LiMichael L. MetzkerC. Thomas CaskeyElisabeth A. MinthornDebra J. Gilbert
- Topics
- Asthma and respiratory diseases (6 papers)Renal cell carcinoma treatment (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Genetics
- Partner nations
- United StatesUnited KingdomChile
In The Last Decade
David J. Figueroa
43 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 2.0k
- Cellular and Molecular Neuroscience 758
- Oncology 568
- Immunology 557
- Physiology 551
Countries citing papers authored by David J. Figueroa
This map shows the geographic impact of David J. Figueroa'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 J. Figueroa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Figueroa more than expected).
Fields of papers citing papers by David J. Figueroa
This network shows the impact of papers produced by David J. Figueroa. 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 J. Figueroa. The network helps show where David J. Figueroa may publish in the future.
Co-authorship network of co-authors of David J. Figueroa
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Figueroa. A scholar is included among the top collaborators of David J. Figueroa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Figueroa. David J. Figueroa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 38 | |
| 4 | 187 | |
| 5 | Characterization of a Novel PERK Kinase Inhibitor with Antitumor and Antiangiogenic Activitybreakdown → | 364 |
| 6 | 15 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 147 | |
| 10 | 31 | |
| 11 | 15 | |
| 12 | 35 | |
| 13 | 19 | |
| 14 | 225 | |
| 15 | 233 | |
| 16 | 70 | |
| 17 | Identification of the gene responsible for Best macular dystrophybreakdown → | 541 |
| 18 | 21 | |
| 19 | 251 | |
| 20 | 146 |
About David J. Figueroa
David J. Figueroa is a scholar working on Physiology, Hematology and Immunology, having authored 44 papers that have together received 3.8k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (6 papers), Renal cell carcinoma treatment (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Ophthalmology (478 citations), Cellular and Molecular Neuroscience (758 citations) and Biochemistry (234 citations). David J. Figueroa has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Christopher P. Austin, Konstantin Petrukhin, Jilly F. Evans, Wen Li, Michael L. Metzker, C. Thomas Caskey, Elisabeth A. Minthorn, Debra J. Gilbert, Neal G. Copeland and Robert J. Gould. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.
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.