María-José Tormo

2.8k total citations
9 papers, 285 citations indexed

About

María-José Tormo is a scholar working on Public Health, Environmental and Occupational Health, Cancer Research and Molecular Biology. According to data from OpenAlex, María-José Tormo has authored 9 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 4 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in María-José Tormo's work include Carcinogens and Genotoxicity Assessment (4 papers), Nutritional Studies and Diet (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). María-José Tormo is often cited by papers focused on Carcinogens and Genotoxicity Assessment (4 papers), Nutritional Studies and Diet (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). María-José Tormo collaborates with scholars based in Spain, Italy and United States. María-José Tormo's co-authors include Carmen Navarro, Pilar Amiano, Aurelio Barricarte, María‐José Sánchez, Carlos A. González, Eva Ardanáz, Antonio Agudo, Miren Dorronsoro, Domingo Pérez-Flores and Nerea Larrañaga and has published in prestigious journals such as Stroke, Carcinogenesis and BMC Public Health.

In The Last Decade

María-José Tormo

9 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
María-José Tormo Spain	9	130	59	51	42	39	9	285
Tianqi Tan China	7	121 0.9×	45 0.8×	25 0.5×	43 1.0×	11 0.3×	14	361
Jake E. Thistle United States	9	34 0.3×	104 1.8×	16 0.3×	16 0.4×	34 0.9×	16	256
Junguo Zhang China	11	44 0.3×	34 0.6×	15 0.3×	35 0.8×	13 0.3×	30	308
César Hernández-Alcaraz Mexico	11	68 0.5×	32 0.5×	24 0.5×	45 1.1×	2 0.1×	23	273
Yuling Xing China	9	104 0.8×	49 0.8×	5 0.1×	17 0.4×	9 0.2×	17	239
Su-Fen Qi China	12	20 0.2×	50 0.8×	33 0.6×	71 1.7×	11 0.3×	20	315
Hui‐Hui Tan Singapore	9	124 1.0×	143 2.4×	9 0.2×	15 0.4×	84 2.2×	15	368
Chien‐Hsieh Chiang Taiwan	13	26 0.2×	209 3.5×	41 0.8×	37 0.9×	118 3.0×	27	426
Laudina Rodríguez Spain	10	154 1.2×	30 0.5×	58 1.1×	52 1.2×		14	454

Countries citing papers authored by María-José Tormo

Since Specialization

Citations

This map shows the geographic impact of María-José Tormo'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 María-José Tormo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María-José Tormo more than expected).

Fields of papers citing papers by María-José Tormo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María-José Tormo. 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 María-José Tormo. The network helps show where María-José Tormo may publish in the future.

Co-authorship network of co-authors of María-José Tormo

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

All Works

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9 of 9 papers shown

Agudo, Antonio, Marco Peluso, Armelle Munnia, et al.. (2017). Aromatic DNA adducts and breast cancer risk: a case-cohort study within the EPIC-Spain. Carcinogenesis. 38(7). 691–698. 16 indexed citations

Peluso, Marco, Leila Luján‐Barroso, María‐José Sánchez, et al.. (2014). Aromatic adducts and lung cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) Spanish cohort. Carcinogenesis. 35(9). 2047–2054. 11 indexed citations

Agudo, Antonio, Marco Peluso, Armelle Munnia, et al.. (2012). Aromatic DNA Adducts and Risk of Gastrointestinal Cancers: A Case–Cohort Study within the EPIC–Spain. Cancer Epidemiology Biomarkers & Prevention. 21(4). 685–692. 22 indexed citations

Huerta, José María, María‐Dolores Chirlaque, María-José Tormo, et al.. (2012). Physical Activity and Risk of Cerebrovascular Disease in the European Prospective Investigation Into Cancer and Nutrition-Spain Study. Stroke. 44(1). 111–118. 30 indexed citations

Gavrila, Diana, et al.. (2011). Prevalence of metabolic syndrome in Murcia Region, a southern European Mediterranean area with low cardiovascular risk and high obesity. BMC Public Health. 11(1). 562–562. 24 indexed citations

Agudo, Antonio, Fernando Goñi, Arsenio Etxeandia, et al.. (2009). Polychlorinated biphenyls in Spanish adults: Determinants of serum concentrations. Environmental Research. 109(5). 620–628. 106 indexed citations

Ibáñez, Raquel, Armelle Munnia, Antonio Agudo, et al.. (2005). Reliability of bulky DNA adducts measurement by the nuclease P1³²P-post-labelling technique. Biomarkers. 10(1). 1–9. 8 indexed citations

Valverde, Jesús Cerezo, María-José Tormo, Carmen Navarro, et al.. (2005). Prevalence of diabetes in Murcia (Spain): A Mediterranean area characterised by obesity. Diabetes Research and Clinical Practice. 71(2). 202–209. 25 indexed citations

García‐Fulgueiras, Ana, et al.. (1996). Prevalence of Hepatitis B and C Markers in the South-east of Spain: An Unlinked Community-based Serosurvey of 2,203 Adults. Scandinavian Journal of Infectious Diseases. 28(1). 17–20. 43 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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