Manuel Comabella

22.8k total citations · 2 hit papers
202 papers, 8.9k citations indexed

About

Manuel Comabella is a scholar working on Pathology and Forensic Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Manuel Comabella has authored 202 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Pathology and Forensic Medicine, 66 papers in Immunology and 59 papers in Molecular Biology. Recurrent topics in Manuel Comabella's work include Multiple Sclerosis Research Studies (123 papers), Immunotherapy and Immune Responses (31 papers) and Peripheral Neuropathies and Disorders (27 papers). Manuel Comabella is often cited by papers focused on Multiple Sclerosis Research Studies (123 papers), Immunotherapy and Immune Responses (31 papers) and Peripheral Neuropathies and Disorders (27 papers). Manuel Comabella collaborates with scholars based in Spain, United States and Germany. Manuel Comabella's co-authors include Xavier Montalbán, Jordi Río, Mar Tintoré, Carlos Nos, Àlex Rovira, Jaume Sastre‐Garriga, Samia J. Khoury, Joaquín Castilló, Charlotte E. Teunissen and Jens Kühle and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Bioinformatics.

In The Last Decade

Manuel Comabella

198 papers receiving 8.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neurofilaments as biomarkers in neurological disorders

2018 1.3k citations Michael Khalil, Charlotte E. Teunissen et al. Nature Reviews Neurology profile →
Defining high, medium and low impact prognostic factors for developing multiple sclerosis

2015 358 citations Mar Tintoré, Àlex Rovira et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manuel Comabella Spain	47	5.0k	2.3k	2.2k	2.0k	1.8k	202	8.9k
Finn Sellebjerg Denmark	54	6.0k 1.2×	2.5k 1.1×	1.7k 0.8×	3.4k 1.7×	1.7k 0.9×	315	10.3k
Olaf Stüve United States	57	6.4k 1.3×	2.6k 1.1×	1.9k 0.9×	3.3k 1.6×	1.7k 0.9×	251	11.5k
Stephen L. Hauser United States	44	5.6k 1.1×	1.7k 0.8×	1.7k 0.8×	3.1k 1.5×	1.6k 0.9×	98	10.4k
Bernd C. Kieseier Germany	58	4.8k 1.0×	4.3k 1.8×	1.9k 0.9×	2.5k 1.2×	1.2k 0.7×	274	11.6k
Anthony T. Reder United States	48	4.4k 0.9×	1.6k 0.7×	1.5k 0.7×	1.8k 0.9×	1.3k 0.7×	160	7.3k
Orhan Aktaş Germany	53	4.7k 0.9×	3.2k 1.4×	2.6k 1.2×	1.9k 0.9×	1.5k 0.8×	208	10.4k
Alastair Compston United Kingdom	45	6.1k 1.2×	1.7k 0.7×	2.9k 1.3×	3.3k 1.6×	1.6k 0.9×	128	12.0k
Bruce Cree United States	61	8.3k 1.6×	3.5k 1.5×	3.2k 1.4×	2.7k 1.3×	2.1k 1.2×	279	13.0k
Peter Rieckmann Germany	64	6.8k 1.3×	2.9k 1.2×	2.2k 1.0×	3.1k 1.5×	1.8k 1.0×	266	13.1k
Alfred Sandrock United States	30	5.3k 1.1×	2.1k 0.9×	1.3k 0.6×	1.6k 0.8×	1.3k 0.7×	59	8.3k

Countries citing papers authored by Manuel Comabella

Since Specialization

Citations

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

Fields of papers citing papers by Manuel Comabella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Comabella

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

All Works

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20 of 20 papers shown

Malhotra, Sunny, Agustín Pappolla, Luisa María Villar, et al.. (2023). Increased NLRP3 Inflammasome Activation and Pyroptosis in Patients With Multiple Sclerosis With Fingolimod Treatment Failure. Neurology Neuroimmunology & Neuroinflammation. 10(3). 17 indexed citations

Malhotra, Sunny, Luciana Midaglia, Nikolaos A. Patsopoulos, et al.. (2023). TheCYP24A1gene variant rs2762943 is associated with low serum 1,25‐dihydroxyvitamin D levels in multiple sclerosis patients. European Journal of Neurology. 30(8). 2401–2410. 2 indexed citations

Comabella, Manuel, Mar Tintoré, Augusto Sao Avilés, et al.. (2022). Increased cytomegalovirus immune responses at disease onset are protective in the long-term prognosis of patients with multiple sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 94(3). 173–180. 7 indexed citations

Fissolo, Nicolás, Clara Matute‐Blanch, Carme Costa, et al.. (2021). CSF SERPINA3 Levels Are Elevated in Patients With Progressive MS. Neurology Neuroimmunology & Neuroinflammation. 8(2). 22 indexed citations

Comabella, Manuel, Margareta A. Clarke, Sabine Schaedelin, et al.. (2021). CSF chitinase 3-like 1 is associated with iron rims in patients with a first demyelinating event. Multiple Sclerosis Journal. 28(1). 71–81. 20 indexed citations

Lünemann, Jan D., Sunny Malhotra, Mari L. Shinohara, Xavier Montalbán, & Manuel Comabella. (2021). Targeting Inflammasomes to Treat Neurological Diseases. Annals of Neurology. 90(2). 177–188. 60 indexed citations

Liu, Yawei, Jeppe Romme Christensen, Cecilie Ammitzbøll, et al.. (2021). Transcriptome and Function of Novel Immunosuppressive Autoreactive Invariant Natural Killer T Cells That Are Absent in Progressive Multiple Sclerosis. Neurology Neuroimmunology & Neuroinflammation. 8(6). 4 indexed citations

Midaglia, Luciana, Jaume Sastre‐Garriga, Agustín Pappolla, et al.. (2021). The frequency and characteristics of MS misdiagnosis in patients referred to the multiple sclerosis centre of Catalonia. Multiple Sclerosis Journal. 27(6). 913–921. 21 indexed citations

Otero‐Romero, Susana, Pere Carbonell‐Mirabent, Luciana Midaglia, et al.. (2021). Oral contraceptives do not modify the risk of a second attack and disability accrual in a prospective cohort of women with a clinically isolated syndrome and early multiple sclerosis. Multiple Sclerosis Journal. 28(6). 950–957. 9 indexed citations

10.

Khalil, Michael, Charlotte E. Teunissen, Markus Otto, et al.. (2018). Neurofilaments as biomarkers in neurological disorders. Nature Reviews Neurology. 14(10). 577–589. 1305 indexed citations breakdown →

11.

Fissolo, Nicolás, Laura Cervera‐Carles, Alberto Lleó, et al.. (2018). Cerebrospinal fluid mitochondrial DNA levels in patients with multiple sclerosis. Multiple Sclerosis Journal. 25(11). 1535–1538. 9 indexed citations

12.

Malhotra, Sunny, Melissa Sorosina, Jordi Río, et al.. (2017). NLRP3 polymorphisms and response to interferon-beta in multiple sclerosis patients. Multiple Sclerosis Journal. 24(11). 1507–1510. 8 indexed citations

13.

Deleidi, Michela, David Pitt, Kedar Mahajan, et al.. (2015). Concise Review: Modeling Multiple Sclerosis With Stem Cell Biological Platforms: Toward Functional Validation of Cellular and Molecular Phenotypes in Inflammation-Induced Neurodegeneration. Stem Cells Translational Medicine. 4(3). 252–260. 17 indexed citations

14.

Costa, Carme, Manuel Comabella, & Xavier Montalbán. (2012). Tratamiento de enfermedades neurológicas basado en células madre. Medicina Clínica. 139(5). 208–214. 1 indexed citations

15.

Comabella, Manuel & Koen Vandenbroeck. (2011). Pharmacogenomics and Multiple Sclerosis: Moving Toward Individualized Medicine. Current Neurology and Neuroscience Reports. 11(5). 484–491. 23 indexed citations

16.

Rodríguez, José, Miguel López‐Botet, Elvira Munteis, et al.. (2011). Natural killer cell phenotype and clinical response to interferon-beta therapy in multiple sclerosis. Clinical Immunology. 141(3). 348–356. 55 indexed citations

17.

Comabella, Manuel, Xavier Montalbán, Christian Münz, & Jan D. Lünemann. (2010). Targeting dendritic cells to treat multiple sclerosis. Nature Reviews Neurology. 6(9). 499–507. 59 indexed citations

18.

Vandenbroeck, Koen & Manuel Comabella. (2010). Single-Nucleotide Polymorphisms in Response to Interferon-Beta Therapy in Multiple Sclerosis. Journal of Interferon & Cytokine Research. 30(10). 727–732. 12 indexed citations

19.

Comabella, Manuel, David W. Craig, Carlos Morcillo-Suárez, et al.. (2009). Genome-wide Scan of 500 000 Single-Nucleotide Polymorphisms Among Responders and Nonresponders to Interferon Beta Therapy in Multiple Sclerosis. Archives of Neurology. 66(8). 972–8. 83 indexed citations

20.

Caillier, Stacy J., Xavier Montalbán, Pablo Villoslada, et al.. (2008). Genome-Wide Pharmacogenomic Analysis of the Response to Interferon Beta Therapy in Multiple Sclerosis. Archives of Neurology. 65(3). 337–44. 118 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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