Daniel LaSala
Impact in
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- Hormonal Regulation and Hypertension
- Adrenal Hormones and Disorders
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Protein Kinase Regulation and GTPase Signaling 2
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- Hormonal Regulation and Hypertension 4
- Co-authors
- Paul M. Steed (4 shared papers)William C. Boyar (2 shared papers)Kirk Clark (2 shared papers)Arco Y. Jeng (4 shared papers)Lauren G. Monovich (2 shared papers)Walter R. Perkins (5 shared papers)David Cipolla (6 shared papers)Benjamin Mugrage (1 shared paper)
- Journals
- Frontiers in Pharmacology (2 papers)Journal of Medicinal Chemistry (2 papers)BioTechniques (1 paper)Analytical Biochemistry (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Daniel LaSala
17 papers receiving 449 citations
Peers
Comparison fields: 5 of 72
- Endocrinology, Diabetes and Metabolism 120
- Pharmacology 49
- Biochemistry 27
- Cell Biology 52
- Molecular Biology 206
Countries citing papers authored by Daniel LaSala
This map shows the geographic impact of Daniel LaSala'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 LaSala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel LaSala more than expected).
Fields of papers citing papers by Daniel LaSala
This network shows the impact of papers produced by Daniel LaSala. 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 LaSala. The network helps show where Daniel LaSala may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel LaSala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 105 | |
| 2 | 2007 | 82 | |
| 3 | 2014 | 47 | |
| 4 | 2023 | 38 | |
| 5 | 2018 | 37 | |
| 6 | 2013 | 36 | |
| 7 | 2009 | 31 | |
| 8 | 2015 | 23 | |
| 9 | 1999 | 15 | |
| 10 | 1998 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2017 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 2 | |
| 17 | 2019 | 2 |
About Daniel LaSala
Daniel LaSala is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Oncology and Pharmacology, having authored 17 papers that have together received 477 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Peptidase Inhibition and Analysis (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Protease and Inhibitor Mechanisms (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Apelin-related biomedical research (2 papers) and Silk-based biomaterials and applications (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (120 citations), Pharmacology (49 citations), Biochemistry (27 citations), Cell Biology (52 citations) and Molecular Biology (206 citations). Daniel LaSala has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Paul M. Steed, William C. Boyar, Kirk Clark, Arco Y. Jeng, Lauren G. Monovich, Walter R. Perkins, David Cipolla, Benjamin Mugrage, Zhengming Du and Rubén Tommasi. Their work appears in journals such as Frontiers in Pharmacology, Journal of Medicinal Chemistry, BioTechniques, Analytical Biochemistry and Bioorganic & Medicinal Chemistry Letters.
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.