Jorge Meléndez-Zajgla
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 20
- Protease and Inhibitor Mechanisms 11
- NF-κB Signaling Pathways 10
- Molecular Biology top 5%
- Cell death mechanisms and regulation 22
- RNA modifications and cancer 11
- RNA Research and Splicing 11
- Oncology top 5%
- Cancer Cells and Metastasis 11
- Cancer-related Molecular Pathways 10
- Obstetrics and Gynecology top 5%
- Immunology top 10%
- Co-authors
- Vilma MaldonadoMagali EspinosaKarla Vázquez-SantillánGisela Ceballos‐CancinoFloria LizárragaGustavo Ulises Martinez‐RuízArturo OrtegaLuis del Pozo‐Yauner
- Journals
- Journal of Biological Chemistry (1 paper)PLoS ONE (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- MexicoUnited StatesSpain
In The Last Decade
Jorge Meléndez-Zajgla
119 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 120
- Cancer Research 897
- Molecular Biology 1.5k
- Oncology 582
- Obstetrics and Gynecology 103
- Immunology 264
Countries citing papers authored by Jorge Meléndez-Zajgla
This map shows the geographic impact of Jorge Meléndez-Zajgla'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 Jorge Meléndez-Zajgla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Meléndez-Zajgla more than expected).
Fields of papers citing papers by Jorge Meléndez-Zajgla
This network shows the impact of papers produced by Jorge Meléndez-Zajgla. 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 Jorge Meléndez-Zajgla. The network helps show where Jorge Meléndez-Zajgla may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jorge Meléndez-Zajgla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 25 | |
| 10 | 2018 | 19 | |
| 11 | 2016 | 9 | |
| 12 | 2016 | 4 | |
| 13 | 2015 | 34 | |
| 14 | 2011 | 8 | |
| 15 | 2010 | 5 | |
| 16 | Células troncales cancerosas ¿Clave para curar el cáncer? | 2008 | 1 |
| 17 | Método modificado para clonación de células adherentes de mamifero | 2007 | 2 |
| 18 | 2004 | 19 | |
| 19 | 2004 | 17 | |
| 20 | Caspasas: moléculas inductoras de apoptosis | 2003 | 6 |
About Jorge Meléndez-Zajgla
Jorge Meléndez-Zajgla is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 123 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (22 papers), Cancer-related molecular mechanisms research (20 papers), Protease and Inhibitor Mechanisms (11 papers), RNA modifications and cancer (11 papers), Cancer Cells and Metastasis (11 papers), RNA Research and Splicing (11 papers), Cancer-related Molecular Pathways (10 papers) and NF-κB Signaling Pathways (10 papers). The work is most often cited by research in Cancer Research (897 citations), Molecular Biology (1.5k citations) and Oncology (582 citations). Jorge Meléndez-Zajgla has collaborated with scholars based in Mexico, United States and Spain. Frequent co-authors include Vilma Maldonado, Magali Espinosa, Vilma Maldonado, Karla Vázquez-Santillán, Gisela Ceballos‐Cancino, Floria Lizárraga, Gustavo Ulises Martinez‐Ruíz, Arturo Ortega, Luis del Pozo‐Yauner and Alfredo García-Venzor. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Biochemistry.
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.