Guillermo C. Rivera-Gonzalez
- Molecular Biology
- Rehabilitation top 1%
- Dermatology top 2%
- Immunology
- Genetics top 10%
- Co-authors
- Valerie HorsleyBrett A. ShookFrancesc López‐GiráldezRenee R. WaskoDamon A. ClarkRachel K. ZwickJack L. ArbiserKathryn Miller‐Jensen
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (4 papers)Single-cell and spatial transcriptomics (3 papers)Mesenchymal stem cell research (3 papers)
- Cited by
- RehabilitationDermatologyUrology
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Guillermo C. Rivera-Gonzalez
12 papers receiving 933 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 320
- Rehabilitation 284
- Dermatology 189
- Immunology 133
- Genetics 126
Countries citing papers authored by Guillermo C. Rivera-Gonzalez
This map shows the geographic impact of Guillermo C. Rivera-Gonzalez'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 Guillermo C. Rivera-Gonzalez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo C. Rivera-Gonzalez more than expected).
Fields of papers citing papers by Guillermo C. Rivera-Gonzalez
This network shows the impact of papers produced by Guillermo C. Rivera-Gonzalez. 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 Guillermo C. Rivera-Gonzalez. The network helps show where Guillermo C. Rivera-Gonzalez may publish in the future.
Co-authorship network of co-authors of Guillermo C. Rivera-Gonzalez
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo C. Rivera-Gonzalez. A scholar is included among the top collaborators of Guillermo C. Rivera-Gonzalez 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 Guillermo C. Rivera-Gonzalez. Guillermo C. Rivera-Gonzalez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 33 | |
| 3 | Dermal Adipocyte Lipolysis and Myofibroblast Conversion Are Required for Efficient Skin Repairbreakdown → | 196 |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 59 | |
| 7 | Myofibroblast proliferation and heterogeneity are supported by macrophages during skin repairbreakdown → | 382 |
| 8 | 89 | |
| 9 | 46 | |
| 10 | 12 | |
| 11 | 83 | |
| 12 | 26 | |
| 13 | 12 |
About Guillermo C. Rivera-Gonzalez
Guillermo C. Rivera-Gonzalez is a scholar working on Urology, Rehabilitation and Genetics, having authored 13 papers that have together received 946 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Single-cell and spatial transcriptomics (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Rehabilitation (284 citations), Dermatology (189 citations) and Urology (86 citations). Guillermo C. Rivera-Gonzalez has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Valerie Horsley, Brett A. Shook, Francesc López‐Giráldez, Renee R. Wasko, Damon A. Clark, Rachel K. Zwick, Jack L. Arbiser, Kathryn Miller‐Jensen, Henry C. Hsia and Biraja C. Dash. Their work appears in journals such as Science, Nucleic Acids Research and Nature Biotechnology.
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.