Luis Benı́tez-Bribiesca
- Molecular Biology
- Oncology top 10%
- Immunology top 10%
- Epidemiology
- Cancer Research top 10%
- Co-authors
- Félix Recillas‐TargaPatricia Ostrosky‐WegmanInti A. De La Rosa-VelázquezAlex K. WongLuis A. HerreraHéctor Rincón‐AranoMercedes Dávalos-SalasAlejandro Mohar
- Topics
- Protease and Inhibitor Mechanisms (8 papers)Cervical Cancer and HPV Research (7 papers)DNA Repair Mechanisms (6 papers)
- Cited by
- ImmunologyCancer ResearchAging
- Journals
- The LancetPEDIATRICSCancer Research
- Partner nations
- MexicoGermanyUnited States
In The Last Decade
Luis Benı́tez-Bribiesca
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 593
- Oncology 270
- Immunology 260
- Epidemiology 195
- Cancer Research 179
Countries citing papers authored by Luis Benı́tez-Bribiesca
This map shows the geographic impact of Luis Benı́tez-Bribiesca'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 Luis Benı́tez-Bribiesca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Benı́tez-Bribiesca more than expected).
Fields of papers citing papers by Luis Benı́tez-Bribiesca
This network shows the impact of papers produced by Luis Benı́tez-Bribiesca. 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 Luis Benı́tez-Bribiesca. The network helps show where Luis Benı́tez-Bribiesca may publish in the future.
Co-authorship network of co-authors of Luis Benı́tez-Bribiesca
This figure shows the co-authorship network connecting the top 25 collaborators of Luis Benı́tez-Bribiesca. A scholar is included among the top collaborators of Luis Benı́tez-Bribiesca 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 Luis Benı́tez-Bribiesca. Luis Benı́tez-Bribiesca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 34 | |
| 3 | 35 | |
| 4 | [RNA interference (RNAi) and its therapeutic potential in cancer]. | 9 |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 19 | |
| 8 | 21 | |
| 9 | 39 | |
| 10 | Virus del papiloma humano, cáncer de cérvix y las vacunas | 1 |
| 11 | 35 | |
| 12 | Analysis of PCNA, p53, and bcl–2 Expression in the Sequence Primary Acquired Melanosis–Conjunctival Melanoma | 1 |
| 13 | 19 | |
| 14 | 7 | |
| 15 | 14 | |
| 16 | 5 | |
| 17 | 31 | |
| 18 | 26 | |
| 19 | 4 | |
| 20 | 6 |
About Luis Benı́tez-Bribiesca
Luis Benı́tez-Bribiesca is a scholar working on Cancer Research, Oncology and Aging, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (8 papers), Cervical Cancer and HPV Research (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Immunology (260 citations), Cancer Research (179 citations) and Aging (19 citations). Luis Benı́tez-Bribiesca has collaborated with scholars based in Mexico, Germany and United States. Frequent co-authors include Félix Recillas‐Targa, Patricia Ostrosky‐Wegman, Inti A. De La Rosa-Velázquez, Alex K. Wong, Luis A. Herrera, Héctor Rincón‐Arano, Mercedes Dávalos-Salas, Alejandro Mohar, Lutz Gissmann and Joris Braspenning. Their work appears in journals such as The Lancet, PEDIATRICS and Cancer Research.
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.