World's Best Scientists 2026 revealed!

D-Index & Metrics

Microbiology

D-Index
59
Citations
16033
World Ranking
3229
National Ranking
87

Manuel Comabella publication distribution in Microbiology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Microbiology in 2026. The highlighted bar marks where Manuel Comabella sits on this spectrum.

55–64 publications: 8 scientists 65–74 publications: 29 scientists 75–84 publications: 55 scientists 85–94 publications: 112 scientists 95–104 publications: 137 scientists 105–114 publications: 190 scientists 115–124 publications: 235 scientists 125–134 publications: 234 scientists 135–144 publications: 288 scientists 145–154 publications: 265 scientists 155–164 publications: 264 scientists 165–174 publications: 253 scientists 175–184 publications: 276 scientists 185–194 publications: 190 scientists 195–204 publications: 234 scientists 205–214 publications: 208 scientists 215–224 publications: 198 scientists 225–234 publications: 155 scientists 235–244 publications: 161 scientists 245–254 publications: 160 scientists 255–264 publications: 146 scientists 265–274 publications: 139 scientists 275–284 publications: 148 scientists 285–294 publications: 115 scientists 295–304 publications: 96 scientists 305–314 publications: 88 scientists 315–324 publications: 106 scientists 325–334 publications: 65 scientists 335–344 publications: 76 scientists 345–354 publications: 64 scientists 355–364 publications: 62 scientists 365–374 publications: 65 scientists 375–384 publications: 61 scientists 385–394 publications: 34 scientists 395–404 publications: 44 scientists 405–414 publications: 36 scientists 415–424 publications: 35 scientists 425–434 publications: 29 scientists 435–444 publications: 33 scientists 445–454 publications: 34 scientists 455–464 publications: 25 scientists 465–474 publications: 26 scientists 475–484 publications: 20 scientists 485–494 publications: 19 scientists 495–504 publications: 16 scientists 505–514 publications: 17 scientists 515–524 publications: 23 scientists 525–534 publications: 14 scientists 535–544 publications: 14 scientists 545–554 publications: 18 scientists 555–564 publications: 12 scientists 565–574 publications: 7 scientists 575–584 publications: 9 scientists 585–594 publications: 9 scientists 595–604 publications: 9 scientists 605–614 publications: 7 scientists 615–624 publications: 9 scientists 625–634 publications: 7 scientists 635–644 publications: 4 scientists 645–654 publications: 5 scientists 655–664 publications: 6 scientists 665–674 publications: 7 scientists 675–678 publications: 3 scientists 679+ publications: 99 scientists
55 publications 679+

This scientist: 216 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 679 publications or more.

Manuel Comabella D-index placement in Microbiology in 2026

The chart shows the D-index (discipline H-index) distribution of Microbiology scientists ranked by Research.com in 2026. The highlighted bar marks where Manuel Comabella sits on this spectrum.

40 D-Index: 30 scientists 41 D-Index: 86 scientists 42 D-Index: 90 scientists 43 D-Index: 117 scientists 44 D-Index: 122 scientists 45 D-Index: 123 scientists 46 D-Index: 108 scientists 47 D-Index: 110 scientists 48 D-Index: 106 scientists 49 D-Index: 109 scientists 50 D-Index: 129 scientists 51 D-Index: 111 scientists 52 D-Index: 116 scientists 53 D-Index: 127 scientists 54 D-Index: 134 scientists 55 D-Index: 134 scientists 56 D-Index: 112 scientists 57 D-Index: 136 scientists 58 D-Index: 162 scientists 59 D-Index: 151 scientists 60 D-Index: 139 scientists 61 D-Index: 123 scientists 62 D-Index: 126 scientists 63 D-Index: 144 scientists 64 D-Index: 109 scientists 65 D-Index: 103 scientists 66 D-Index: 124 scientists 67 D-Index: 112 scientists 68 D-Index: 103 scientists 69 D-Index: 131 scientists 70 D-Index: 94 scientists 71 D-Index: 93 scientists 72 D-Index: 96 scientists 73 D-Index: 92 scientists 74 D-Index: 80 scientists 75 D-Index: 66 scientists 76 D-Index: 87 scientists 77 D-Index: 60 scientists 78 D-Index: 73 scientists 79 D-Index: 59 scientists 80 D-Index: 57 scientists 81 D-Index: 55 scientists 82 D-Index: 47 scientists 83 D-Index: 77 scientists 84 D-Index: 50 scientists 85 D-Index: 45 scientists 86 D-Index: 42 scientists 87 D-Index: 41 scientists 88 D-Index: 32 scientists 89 D-Index: 38 scientists 90 D-Index: 35 scientists 91 D-Index: 34 scientists 92 D-Index: 27 scientists 93 D-Index: 26 scientists 94 D-Index: 33 scientists 95 D-Index: 22 scientists 96 D-Index: 37 scientists 97 D-Index: 22 scientists 98 D-Index: 21 scientists 99 D-Index: 22 scientists 100 D-Index: 30 scientists 101 D-Index: 16 scientists 102 D-Index: 20 scientists 103 D-Index: 17 scientists 104 D-Index: 19 scientists 105 D-Index: 16 scientists 106 D-Index: 19 scientists 107 D-Index: 18 scientists 108 D-Index: 14 scientists 109 D-Index: 10 scientists 110 D-Index: 9 scientists 111 D-Index: 7 scientists 112 D-Index: 11 scientists 113 D-Index: 6 scientists 114 D-Index: 15 scientists 115 D-Index: 10 scientists 116 D-Index: 12 scientists 117 D-Index: 7 scientists 118 D-Index: 10 scientists 119 D-Index: 10 scientists 120 D-Index: 11 scientists 121 D-Index: 2 scientists 122 D-Index: 7 scientists 123 D-Index: 12 scientists 124 D-Index: 5 scientists 125 D-Index: 9 scientists 126 D-Index: 6 scientists 127+ D-Index: 95 scientists
40 D-Index 127+

This scientist: 59 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 127 D-Index or more.

Overview

Manuel Comabella is affiliated with the Vall d'Hebron Institut de Recerca in Spain. Their research focuses primarily on medical science, with an emphasis on pathology and forensic medicine, neurology, molecular biology, immunology, and oncology. The majority of their work centers on multiple sclerosis research studies, peripheral neuropathies and disorders, and related fields such as cytokine signaling pathways, neuroinflammation, and immune cell mechanisms.

The scientist has an extensive publication record, contributing notably to journals specializing in neurology and immunology. Frequent venues for their work include Multiple Sclerosis Journal, Neurology Neuroimmunology & Neuroinflammation, Neurology, Frontiers in Immunology, and Journal of Neuroimmunology.

Their recent published papers exemplify a focus on biomarkers and clinical applications in neurological disorders, as well as multiple sclerosis progression and related immune responses. Selected recent works include:

  • Neurofilaments as biomarkers in neurological disorders - towards clinical application, 2024, Nature Reviews Neurology
  • Association of Early Progression Independent of Relapse Activity With Long-term Disability After a First Demyelinating Event in Multiple Sclerosis, 2022, JAMA Neurology
  • Serum neurofilament light as a biomarker in progressive multiple sclerosis, 2020, Neurology
  • COVID-19 in multiple sclerosis patients: susceptibility, severity risk factors and serological response, 2020, European Journal of Neurology
  • NLRP3 inflammasome as prognostic factor and therapeutic target in primary progressive multiple sclerosis patients, 2020, Brain

Collaboration plays a significant role in their research activities. Frequent coauthors include Xavier Montalbán, Luciana Midaglia, Jordi Río, Mar Tintoré, and Georgina Arrambide. These collaborations reflect sustained joint efforts in studying neurological disorders, especially multiple sclerosis.

The main scientific topics addressed in their work comprise:

  • Multiple Sclerosis Research Studies
  • Peripheral Neuropathies and Disorders
  • Polyomavirus and related diseases
  • Cytokine Signaling Pathways and Interactions
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Studies on Chitinases and Chitosanases
  • T-cell and B-cell Immunology

Manuel Comabella's publication portfolio spans a range of subfields that include 68 publications in pathology and forensic medicine, 39 in neurology, 31 in molecular biology, 28 in immunology, and 22 in oncology. Their ongoing research contributes to the understanding of disease biomarkers, immune mechanisms, and the clinical progression of neurological conditions, particularly multiple sclerosis.

Best Publications

  • Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

    Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer

  • Neurofilaments as biomarkers in neurological disorders

    Michael Khalil;Charlotte E. Teunissen;Markus Otto;Fredrik Piehl

  • Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility

    Unknown

  • A consensus protocol for the standardization of cerebrospinal fluid collection and biobanking

    Charlotte Teunissen;Axel Petzold;Jeffrey L. Bennett;Frode S. Berven

  • Defining high, medium and low impact prognostic factors for developing multiple sclerosis

    Mar Tintore;Àlex Rovira;Jordi Río;Susana Otero-Romero

  • Do oligoclonal bands add information to MRI in first attacks of multiple sclerosis

    M Tintoré;A Rovira;J Río;C Tur

  • Defining the response to interferon-β in relapsing-remitting multiple sclerosis patients

    Jordi Río;Carlos Nos;Mar Tintoré;Nieves Téllez

  • Baseline MRI predicts future attacks and disability in clinically isolated syndromes.

    M. Tintoré;A. Rovira;J. Río;C. Nos

  • Consensus guidelines for lumbar puncture in patients with neurological diseases

    Sebastiaan Engelborghs;Ellis Niemantsverdriet;Hanne Struyfs;Kaj Blennow

  • Conversion from clinically isolated syndrome to multiple sclerosis: A large multicentre study

    J. Kuhle;G. Disanto;R. Dobson;R. Adiutori

  • New diagnostic criteria for multiple sclerosis: application in first demyelinating episode.

    M. Tintoré;A. Rovira;J. Río;C. Nos

  • Cerebrospinal fluid chitinase 3-like 1 levels are associated with conversion to multiple sclerosis

    Manuel Comabella;Marta Fernández;Roland Martin;Stephanie Rivera-Vallvé

  • Multicentre comparison of a diagnostic assay: aquaporin-4 antibodies in neuromyelitis optica

    Patrick Waters;Markus Reindl;Albert Saiz;Kathrin Schanda

  • Measures in the first year of therapy predict the response to interferon beta in MS.

    J Río;J Castilló;A Rovira;M Tintoré

  • Body fluid biomarkers in multiple sclerosis.

    Manuel Comabella;Xavier Montalban

  • Elevated Epstein–Barr virus‐encoded nuclear antigen‐1 immune responses predict conversion to multiple sclerosis

    Jan D. Lünemann;Mar Tintoré;Brady Messmer;Brady Messmer;Till Strowig

  • Elevated interleukin-12 in progressive multiple sclerosis correlates with disease activity and is normalized by pulse cyclophosphamide therapy

    Manuel Comabella;Konstantine Balashov;Shohreh Issazadeh;Derek Smith

  • A type I interferon signature in monocytes is associated with poor response to interferon-β in multiple sclerosis

    M. Comabella;J. D. Lünemann;J. Río;A. Sánchez

  • A consensus protocol for the standardisation of cerebrospinal fluid collection and biobanking

    Charlotte E. Teunissen;Axel Petzold;Jeffrey L. Bennett;Frode S. Berven

  • Transcription-Based Prediction of Response to IFNβ Using Supervised Computational Methods

    Sergio E Baranzini;Parvin Mousavi;Jordi Rio;Stacy J Caillier

  • Brainstem lesions in clinically isolated syndromes.

    M. Tintore;A. Rovira;G. Arrambide;R. Mitjana

  • Plasma osteopontin levels in multiple sclerosis.

    Manuel Comabella;Imma Pericot;Robert Goertsches;Carlos Nos

  • Chitinase 3-like 1: prognostic biomarker in clinically isolated syndromes

    Ester Cantó;Mar Tintoré;Luisa M Villar;Carme Costa

  • Genome-Wide Pharmacogenomic Analysis of the Response to Interferon Beta Therapy in Multiple Sclerosis

    Esther Byun;Stacy J. Caillier;Xavier Montalban;Pablo Villoslada

  • Immunopathogenesis of multiple sclerosis

    Manuel Comabella;Samia J. Khoury

  • FoxA1 directs the lineage and immunosuppressive properties of a novel regulatory T cell population in EAE and MS

    Yawei Liu;Robert Carlsson;Manuel Comabella;Jun Yang Wang

  • Consensus definitions and application guidelines for control groups in cerebrospinal fluid biomarker studies in multiple sclerosis

    Charlotte Teunissen;Til Menge;Ayse Altintas;José C Álvarez-Cermeño

  • Network-based multiple sclerosis pathway analysis with GWAS data from 15,000 cases and 30,000 controls

    Sergio E. Baranzini;Pouya Khankhanian;Nikolaos A. Patsopoulos;Michael Li

  • Tumor necrosis factor alpha (TNF-α), anti-TNF-α and demyelination revisited: an ongoing story.

    Ana Caminero;Manuel Comabella;Xavier Montalban

  • Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk

    Mitja Mitrovič;Nikolaos A. Patsopoulos;Ashley H. Beecham;Theresa Dankowski

Frequent Co-Authors

Xavier Montalban
Xavier Montalban Autonomous University of Barcelona
Alex Rovira
Alex Rovira Autonomous University of Barcelona
Jorge R. Oksenberg
Jorge R. Oksenberg University of California, San Francisco
José Antonio del Río
José Antonio del Río University of Barcelona
Bernhard Hemmer
Bernhard Hemmer Technical University of Munich
Finn Sellebjerg
Finn Sellebjerg Copenhagen University Hospital
Frauke Zipp
Frauke Zipp Johannes Gutenberg University of Mainz
Roland Martin
Roland Martin University of Zurich
Hanne F. Harbo
Hanne F. Harbo Oslo University Hospital
Daniela Galimberti
Daniela Galimberti University of Milan

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