Jorge Meléndez-Zajgla

14.9k total citations
123 papers, 2.5k citations indexed

About

Jorge Meléndez-Zajgla is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jorge Meléndez-Zajgla has authored 123 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 52 papers in Cancer Research and 36 papers in Oncology. Recurrent topics in Jorge Meléndez-Zajgla's work include Cell death mechanisms and regulation (22 papers), Cancer-related molecular mechanisms research (20 papers) and Protease and Inhibitor Mechanisms (11 papers). Jorge Meléndez-Zajgla is often cited by papers focused on Cell death mechanisms and regulation (22 papers), Cancer-related molecular mechanisms research (20 papers) and Protease and Inhibitor Mechanisms (11 papers). Jorge Meléndez-Zajgla collaborates with scholars based in Mexico, United States and Spain. Jorge Meléndez-Zajgla's 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 and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Oncogene.

In The Last Decade

Jorge Meléndez-Zajgla

119 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jorge Meléndez-Zajgla Mexico 28 1.5k 897 582 299 264 123 2.5k
Vilma Maldonado Mexico 24 1.2k 0.8× 725 0.8× 497 0.9× 213 0.7× 193 0.7× 88 1.9k
Hua Jiang China 27 1.4k 0.9× 627 0.7× 620 1.1× 257 0.9× 460 1.7× 125 2.5k
Rong Cong China 21 1.3k 0.9× 726 0.8× 417 0.7× 218 0.7× 411 1.6× 92 2.4k
Yi Zhu China 38 1.9k 1.2× 1.0k 1.1× 778 1.3× 334 1.1× 468 1.8× 144 3.6k
Rachana Agarwal United States 26 1.6k 1.1× 1.2k 1.3× 447 0.8× 320 1.1× 195 0.7× 55 3.1k
Carlos Fernández-Patrón Canada 30 966 0.6× 672 0.7× 394 0.7× 177 0.6× 236 0.9× 63 2.5k
Shizhong Bu China 30 1.5k 1.0× 626 0.7× 298 0.5× 250 0.8× 197 0.7× 86 2.6k
Amelia Casamassimi Italy 34 1.7k 1.1× 494 0.6× 436 0.7× 283 0.9× 220 0.8× 91 3.1k
Phillip Kantharidis Australia 31 2.6k 1.7× 1.3k 1.5× 506 0.9× 303 1.0× 300 1.1× 64 4.3k

Countries citing papers authored by Jorge Meléndez-Zajgla

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jorge Meléndez-Zajgla

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Meléndez-Zajgla. A scholar is included among the top collaborators of Jorge Meléndez-Zajgla 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 Jorge Meléndez-Zajgla. Jorge Meléndez-Zajgla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gutiérrez, Humberto, Humberto Garcia‐Ortíz, Lorena Orozco, et al.. (2025). A Pilot Study: Contrasting Genomic Profiles of Lung Adenocarcinoma Between Patients of European and Latin American Ancestry. International Journal of Molecular Sciences. 26(10). 4865–4865.
2.
Espinosa, Magali, Gretel Mendoza‐Almanza, Gisela Ceballos‐Cancino, et al.. (2024). Decoding LINC00052 role in breast cancer by bioinformatic and experimental analyses. RNA Biology. 21(1). 601–611. 2 indexed citations
3.
García-Venzor, Alfredo, Karla Vázquez-Santillán, Gretel Mendoza‐Almanza, et al.. (2024). Transcriptomic Changes in Cisplatin-Resistant MCF-7 Cells. International Journal of Molecular Sciences. 25(7). 3820–3820. 4 indexed citations
4.
González-Curiel, Irma, et al.. (2023). Gene Expression Behavior of a Set of Genes in Platelet and Tissue Samples from Patients with Breast Cancer. International Journal of Molecular Sciences. 24(9). 8348–8348. 5 indexed citations
5.
Mercado, Gabriela, Jorge Meléndez-Zajgla, Rodrigo Barquera, et al.. (2023). Germline mutations in pediatric cancer cohort with mixed‐ancestry Mexicans. Molecular Genetics & Genomic Medicine. 12(1). e2332–e2332.
6.
Domínguez-Rosado, Ismael, et al.. (2022). Pancreatic Cancer Cells Induce MicroRNA Deregulation in Platelets. International Journal of Molecular Sciences. 23(19). 11438–11438. 6 indexed citations
7.
Maldonado, Vilma, et al.. (2022). Regulation of the Cancer Stem Phenotype by Long Non-Coding RNAs. Cells. 11(15). 2352–2352. 10 indexed citations
8.
Meléndez-Zajgla, Jorge, et al.. (2021). CRISPR-Cas: la nueva herramienta para diagnosticar enfermedades infecciosas. Revista Digital Universitaria. 22(5). 1 indexed citations
9.
García-Venzor, Alfredo, et al.. (2021). SARS-CoV-2 Direct Detection Without RNA Isolation With Loop-Mediated Isothermal Amplification (LAMP) and CRISPR-Cas12. Frontiers in Medicine. 8. 627679–627679. 41 indexed citations
10.
Meléndez-Zajgla, Jorge, et al.. (2021). The Use of Zebrafish Xenotransplant Assays to Analyze the Role of lncRNAs in Breast Cancer. Frontiers in Oncology. 11. 687594–687594. 6 indexed citations
11.
Vázquez-Santillán, Karla, et al.. (2020). Adipose-derived mesenchymal stem cells promote the malignant phenotype of cervical cancer. Scientific Reports. 10(1). 14205–14205. 25 indexed citations
12.
Meléndez-Zajgla, Jorge, Thalia Pacheco‐Fernández, Miriam Rodríguez‐Sosa, et al.. (2019). Changes in the transcriptome profile of breast cancer cells grown as spheroids. Biochemical and Biophysical Research Communications. 516(4). 1258–1264. 9 indexed citations
13.
Vázquez-Santillán, Karla, et al.. (2016). TIMP4 Modulates ER-α Signalling in MCF7 Breast Cancer Cells. Folia Biologica. 62(2). 75–81. 4 indexed citations
14.
Maldonado, Vilma, et al.. (2016). Probenecid Sensitizes Neuroblastoma Cancer Stem Cells to Cisplatin. Cancer Investigation. 34(3). 155–166. 9 indexed citations
15.
Morales‐Bárcenas, Rocío, Yolanda I. Chirino, Yesennia Sánchez-Pérez, et al.. (2015). Particulate matter (PM10) induces metalloprotease activity and invasion in airway epithelial cells. Toxicology Letters. 237(3). 167–173. 34 indexed citations
16.
Meléndez-Zajgla, Jorge, et al.. (2008). Células troncales cancerosas ¿Clave para curar el cáncer?. CIENCIA & DESARROLLO. 34(224). 26–31. 1 indexed citations
17.
Maldonado, Vilma & Jorge Meléndez-Zajgla. (2007). Método modificado para clonación de células adherentes de mamifero. 32(2). 70–72. 2 indexed citations
18.
Lizárraga, Floria, Vilma Maldonado, & Jorge Meléndez-Zajgla. (2004). Tissue inhibitor of metalloproteinases-2 growth-stimulatory activity is mediated by nuclear factor-kappa B in A549 lung epithelial cells. The International Journal of Biochemistry & Cell Biology. 36(8). 1655–1663. 19 indexed citations
19.
Maldonado, Vilma, et al.. (2003). Caspasas: moléculas inductoras de apoptosis. Gaceta Médica de México. 139(5). 493–499. 6 indexed citations
20.
Dueñas‐González, Alfonso, et al.. (2001). Weekly Cisplatin/Low-Dose Gemcitabine Combination for Advanced and Recurrent Cervical Carcinoma. American Journal of Clinical Oncology. 24(2). 201–203. 15 indexed citations

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.

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