David M. Valenzuela
- Molecular Biology top 0.2%
- Immunology top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
- Physiology top 0.5%
- Oncology top 1%
- Co-authors
- George D. YancopoulosAndrew MurphyDavid J. GlassTrevor N. StittThomas M. DeChiaraWilliam PoueymirouRichard A. FlavellMargaret Karow
- Topics
- Immune Cell Function and Interaction (10 papers)Angiogenesis and VEGF in Cancer (9 papers)Pluripotent Stem Cells Research (8 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
David M. Valenzuela
110 papers receiving 21.5k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 11.3k
- Immunology 4.2k
- Cellular and Molecular Neuroscience 3.9k
- Physiology 3.3k
- Oncology 2.4k
Countries citing papers authored by David M. Valenzuela
This map shows the geographic impact of David M. Valenzuela'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 M. Valenzuela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Valenzuela more than expected).
Fields of papers citing papers by David M. Valenzuela
This network shows the impact of papers produced by David M. Valenzuela. 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 M. Valenzuela. The network helps show where David M. Valenzuela may publish in the future.
Co-authorship network of co-authors of David M. Valenzuela
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Valenzuela. A scholar is included among the top collaborators of David M. Valenzuela 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 M. Valenzuela. David M. Valenzuela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 41 | |
| 4 | 61 | |
| 5 | 62 | |
| 6 | 126 | |
| 7 | 358 | |
| 8 | 154 | |
| 9 | 28 | |
| 10 | 472 | |
| 11 | 16 | |
| 12 | 26 | |
| 13 | Interleukin-22 but Not Interleukin-17 Provides Protection to Hepatocytes during Acute Liver Inflammationbreakdown → | 522 |
| 14 | 154 | |
| 15 | 186 | |
| 16 | 131 | |
| 17 | Identification of Ubiquitin Ligases Required for Skeletal Muscle Atrophybreakdown → | 2828 |
| 18 | 163 | |
| 19 | 80 | |
| 20 | trkB encodes a functional receptor for brain-derived neurotrophic factor and neurotrophin-3 but not nerve growth factorbreakdown → | 722 |
About David M. Valenzuela
David M. Valenzuela is a scholar working on Immunology, Molecular Biology and Endocrine and Autonomic Systems, having authored 110 papers that have together received 21.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Angiogenesis and VEGF in Cancer (9 papers) and Pluripotent Stem Cells Research (8 papers). The work is most often cited by research in Geriatrics and Gerontology (1.5k citations), Developmental Neuroscience (936 citations) and Cellular and Molecular Neuroscience (3.9k citations). David M. Valenzuela has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include George D. Yancopoulos, Andrew Murphy, David J. Glass, Trevor N. Stitt, Thomas M. DeChiara, William Poueymirou, Richard A. Flavell, Margaret Karow, Sean Stevens and Esther Latres. Their work appears in journals such as Nature, Science and Cell.
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.