Pedro J. Gonzalez‐Cabrera
- Molecular Biology top 5%
- Cell Biology top 5%
- Immunology top 10%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Hugh RosenMarta SannaSteven J BrownEuijung JoStuart M. CahalanTimothy HlaDavid MarsolaisAnthony S. Don
- Topics
- Sphingolipid Metabolism and Signaling (17 papers)Lipid Membrane Structure and Behavior (12 papers)Receptor Mechanisms and Signaling (12 papers)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Pedro J. Gonzalez‐Cabrera
27 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.6k
- Cell Biology 374
- Immunology 355
- Physiology 231
- Cellular and Molecular Neuroscience 175
Countries citing papers authored by Pedro J. Gonzalez‐Cabrera
This map shows the geographic impact of Pedro J. Gonzalez‐Cabrera'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 Pedro J. Gonzalez‐Cabrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro J. Gonzalez‐Cabrera more than expected).
Fields of papers citing papers by Pedro J. Gonzalez‐Cabrera
This network shows the impact of papers produced by Pedro J. Gonzalez‐Cabrera. 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 Pedro J. Gonzalez‐Cabrera. The network helps show where Pedro J. Gonzalez‐Cabrera may publish in the future.
Co-authorship network of co-authors of Pedro J. Gonzalez‐Cabrera
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro J. Gonzalez‐Cabrera. A scholar is included among the top collaborators of Pedro J. Gonzalez‐Cabrera 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 Pedro J. Gonzalez‐Cabrera. Pedro J. Gonzalez‐Cabrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 98 | |
| 2 | 45 | |
| 3 | 89 | |
| 4 | 21 | |
| 5 | 31 | |
| 6 | 65 | |
| 7 | 57 | |
| 8 | 103 | |
| 9 | 54 | |
| 10 | 72 | |
| 11 | 120 | |
| 12 | 336 | |
| 13 | 36 | |
| 14 | 36 | |
| 15 | 16 | |
| 16 | 34 | |
| 17 | 16 | |
| 18 | 52 | |
| 19 | 2 | |
| 20 | Selective inhibition of alpha1B-adrenergic receptor expression and function using a phosphorothioate antisense oligodeoxynucleotide. | 6 |
About Pedro J. Gonzalez‐Cabrera
Pedro J. Gonzalez‐Cabrera is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (17 papers), Lipid Membrane Structure and Behavior (12 papers) and Receptor Mechanisms and Signaling (12 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Cell Biology (374 citations) and Immunology (355 citations). Pedro J. Gonzalez‐Cabrera has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Hugh Rosen, Marta Sanna, Steven J Brown, Euijung Jo, Stuart M. Cahalan, Timothy Hla, David Marsolais, Anthony S. Don, Ian Parker and Sindy H. Wei. Their work appears in journals such as Journal of Biological Chemistry, Annual Review of Biochemistry and The FASEB Journal.
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.