Fernando López‐Casillas
- Molecular Biology top 2%
- Oncology top 5%
- Cell Biology top 2%
- Immunology and Allergy top 1%
- Cancer Research top 5%
- Co-authors
- Joan MassaguéJeffrey L. WranaSela CheifetzValentı́n MendozaJanet AndresWilliam S. LaneJacqueline DoodyLiliana Attisano
- Topics
- TGF-β signaling in diseases (31 papers)Biotin and Related Studies (9 papers)Adipose Tissue and Metabolism (9 papers)
- Partner nations
- MexicoUnited StatesCanada
In The Last Decade
Fernando López‐Casillas
80 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 3.3k
- Oncology 839
- Cell Biology 681
- Immunology and Allergy 530
- Cancer Research 483
Countries citing papers authored by Fernando López‐Casillas
This map shows the geographic impact of Fernando López‐Casillas'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 Fernando López‐Casillas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando López‐Casillas more than expected).
Fields of papers citing papers by Fernando López‐Casillas
This network shows the impact of papers produced by Fernando López‐Casillas. 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 Fernando López‐Casillas. The network helps show where Fernando López‐Casillas may publish in the future.
Co-authorship network of co-authors of Fernando López‐Casillas
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando López‐Casillas. A scholar is included among the top collaborators of Fernando López‐Casillas 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 Fernando López‐Casillas. Fernando López‐Casillas 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 | 1 | |
| 3 | 10 | |
| 4 | 29 | |
| 5 | 18 | |
| 6 | 46 | |
| 7 | 9 | |
| 8 | 65 | |
| 9 | 57 | |
| 10 | Gaceta Medica de Mexico | 65 |
| 11 | 123 | |
| 12 | Receptores y funciones del TGF-beta, una citocina crucial en la cicatrización. | 1 |
| 13 | 26 | |
| 14 | 123 | |
| 15 | 26 | |
| 16 | 12 | |
| 17 | 21 | |
| 18 | 59 | |
| 19 | 22 | |
| 20 | 8 |
About Fernando López‐Casillas
Fernando López‐Casillas is a scholar working on Cell Biology, Immunology and Allergy and Parasitology, having authored 82 papers that have together received 4.8k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (31 papers), Biotin and Related Studies (9 papers) and Adipose Tissue and Metabolism (9 papers). The work is most often cited by research in Immunology and Allergy (530 citations), Molecular Biology (3.3k citations) and Cell Biology (681 citations). Fernando López‐Casillas has collaborated with scholars based in Mexico, United States and Canada. Frequent co-authors include Joan Massagué, Jeffrey L. Wrana, Sela Cheifetz, Valentı́n Mendoza, Janet Andres, William S. Lane, Jacqueline Doody, Liliana Attisano, Ki-Han Kim and Joaquı́n Arribas. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.