M. Bartolomé

1.0k total citations
19 papers, 739 citations indexed

About

M. Bartolomé is a scholar working on Epidemiology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, M. Bartolomé has authored 19 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in M. Bartolomé's work include Multiple Sclerosis Research Studies (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Herpesvirus Infections and Treatments (3 papers). M. Bartolomé is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Herpesvirus Infections and Treatments (3 papers). M. Bartolomé collaborates with scholars based in Spain, Cuba and Poland. M. Bartolomé's co-authors include Xavier Balanzó, Ignasi Bolíbar, Jordi Almirall, Pere Coll, Goretti Sauca, Bo Niklasson, Josép Vidal, V. De Las Heras, Rosa Arroyo-García and Elena Urcelay and has published in prestigious journals such as European Respiratory Journal, Journal of Neuroimmunology and Multiple Sclerosis Journal.

In The Last Decade

M. Bartolomé

17 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Bartolomé Spain 12 432 140 138 128 94 19 739
Jan Cato Holter Norway 13 241 0.6× 33 0.2× 64 0.5× 150 1.2× 166 1.8× 30 713
A. Parrot France 16 234 0.5× 38 0.3× 47 0.3× 107 0.8× 58 0.6× 65 896
Adrien Mirouse France 13 258 0.6× 18 0.1× 88 0.6× 92 0.7× 199 2.1× 33 749
Dariela Micheloud Spain 18 335 0.8× 143 1.0× 26 0.2× 150 1.2× 45 0.5× 48 780
Michael H. Ieong United States 12 186 0.4× 33 0.2× 102 0.7× 129 1.0× 32 0.3× 20 587
Robert S. Wimmer United States 10 182 0.4× 56 0.4× 41 0.3× 27 0.2× 35 0.4× 15 430
Heljä‐Marja Surcel Finland 13 173 0.4× 24 0.2× 111 0.8× 150 1.2× 142 1.5× 22 615
Maria Teresa Giordani Italy 17 664 1.5× 49 0.3× 116 0.8× 13 0.1× 29 0.3× 44 1.0k
Hiroshi Moro Japan 10 229 0.5× 31 0.2× 24 0.2× 72 0.6× 61 0.6× 38 412
Tim Orchard United Kingdom 4 638 1.5× 70 0.5× 33 0.2× 144 1.1× 50 0.5× 11 1.2k

Countries citing papers authored by M. Bartolomé

Since Specialization
Citations

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

Fields of papers citing papers by M. Bartolomé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Bartolomé. 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 M. Bartolomé. The network helps show where M. Bartolomé may publish in the future.

Co-authorship network of co-authors of M. Bartolomé

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

All Works

19 of 19 papers shown
1.
2.
Garrido‐Cano, Iris, Juan Antonio Carbonell‐Asins, Cristina Peña, et al.. (2023). 74P Transcriptomic profile identifies biological differences in very young women with breast cancer. ESMO Open. 8(1). 101297–101297. 1 indexed citations
3.
García‐Montojo, Marta, et al.. (2011). Human herpesvirus 6 and effectiveness of interferon beta 1b in multiple sclerosis patients. European Journal of Neurology. 18(8). 1027–1035. 20 indexed citations
4.
Bartolomé, M., et al.. (2010). Esclerosis concéntrica de Baló. Neurología. 26(2). 125–127.
5.
Vandenbroeck, Koen, Iraide Alloza, Bhairavi Swaminathan, et al.. (2010). Validation of IRF5 as multiple sclerosis risk gene: putative role in interferon beta therapy and human herpes virus-6 infection. Genes and Immunity. 12(1). 40–45. 30 indexed citations
6.
Márquez, Ana, María Carmen Cénit, Niroshika Keppetipola, et al.. (2009). Effect of BSN-MST1 locus on inflammatory bowel disease and multiple sclerosis susceptibility. Genes and Immunity. 10(7). 631–635. 16 indexed citations
7.
Álvarez‐Lafuente, Roberto, Alfonso Martínez, Marta García‐Montojo, et al.. (2009). MHC2TA rs4774C and HHV‐6A active replication in multiple sclerosis patients. European Journal of Neurology. 17(1). 129–135. 27 indexed citations
8.
García‐Montojo, Marta, María Inmaculada Domínguez‐Mozo, V. De Las Heras, et al.. (2009). Neutralizing antibodies, MxA expression and MMP‐9/TIMP‐1 ratio as markers of bioavailability of interferon‐beta treatment in multiple sclerosis patients: a two‐year follow‐up study. European Journal of Neurology. 17(3). 470–478. 8 indexed citations
9.
García‐Montojo, Marta, et al.. (2009). CD46 expression and HHV-6 infection in patients with multiple sclerosis. Acta Neurologica Scandinavica. 120(4). 246–250. 9 indexed citations
10.
Blanco‐Kelly, Fiona, V. De Las Heras, M. Bartolomé, et al.. (2009). Glypican 5 is an interferon-beta response gene: a replication study. Multiple Sclerosis Journal. 15(8). 913–917. 39 indexed citations
11.
Keppetipola, Niroshika, Bárbara Dema, María Carmen Cénit, et al.. (2008). IL23R: a susceptibility locus for celiac disease and multiple sclerosis?. Genes and Immunity. 9(4). 289–293. 51 indexed citations
12.
García‐Montojo, Marta, V. De Las Heras, María Inmaculada Domínguez‐Mozo, et al.. (2008). Herpesviruses and human endogenous retroviral sequences in the cerebrospinal fluid of multiple sclerosis patients. Multiple Sclerosis Journal. 14(5). 595–601. 61 indexed citations
13.
Álvarez‐Lafuente, Roberto, Marta García‐Montojo, V. De Las Heras, M. Bartolomé, & Rosa Arroyo-García. (2007). Interferon‐beta treatment and active replication of the JC virus in relapsing‐remitting multiple sclerosis patients. European Journal of Neurology. 14(2). 233–236. 12 indexed citations
14.
Martı́nez, Antonio, et al.. (2007). FcRL3 and multiple sclerosis pathogenesis: Role in autoimmunity?. Journal of Neuroimmunology. 189(1-2). 132–136. 26 indexed citations
15.
Martínez, Alfonso, et al.. (2007). The 795CT polymorphism in osteopontin gene is not associated with multiple sclerosis in a Spanish population. Multiple Sclerosis Journal. 13(2). 250–252. 8 indexed citations
16.
Martínez, Alfonso, V. De Las Heras, M. Bartolomé, et al.. (2006). An IFNG polymorphism is associated with interferon-beta response in Spanish MS patients. Journal of Neuroimmunology. 173(1-2). 196–199. 26 indexed citations
17.
Bartolomé, M., Jordi Almirall, J. Morera, et al.. (2004). A population-based study of the costs of care for community-acquired pneumonia. European Respiratory Journal. 23(4). 610–616. 62 indexed citations
18.
Almirall, Jordi, Ignasi Bolíbar, Josép Vidal, et al.. (2000). Epidemiology of community-acquired pneumonia in adults: a population-based study. European Respiratory Journal. 15(4). 757–763. 333 indexed citations
19.
Bartolomé, M., et al.. (1995). Central Hypoventilation Syndrome Associated with Ganglioneuroblastoma. European Journal of Pediatric Surgery. 5(5). 292–294. 10 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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