Michaël Maes

1.4k total papers · 82.4k total citations
1.0k papers, 62.4k citations indexed

About

Michaël Maes is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Michaël Maes has authored 1.0k papers receiving a total of 62.4k indexed citations (citations by other indexed papers that have themselves been cited), including 481 papers in Biological Psychiatry, 330 papers in Behavioral Neuroscience and 294 papers in Psychiatry and Mental health. Recurrent topics in Michaël Maes's work include Tryptophan and brain disorders (481 papers), Stress Responses and Cortisol (330 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (114 papers). Michaël Maes is often cited by papers focused on Tryptophan and brain disorders (481 papers), Stress Responses and Cortisol (330 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (114 papers). Michaël Maes collaborates with scholars based in Thailand, Australia and Belgium. Michaël Maes's co-authors include Michael Berk, Marta Kubera, Eugène Bosmans, George Anderson, Herbert Y. Meltzer, Gerwyn Morris, Simon Scharpé, Günter Kenis, Marieke Wichers and André F. Carvalho and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and PLoS ONE.

In The Last Decade

Michaël Maes

1.0k papers receiving 60.4k citations

Hit Papers

Peripheral cytokine and c... 1995 2026 2005 2015 2017 2013 2005 2010 2010 250 500 750 1000
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Peripheral cytokine and chemokine alterations in depression: a meta‐analysis of 82 studies
    2017 1.1k citations Cristiano A. Köhler, Michaël Maes et al. Acta Psychiatrica Scandinavica profile →
  2. So depression is an inflammatory disease, but where does the inflammation come from?
    2013 1.0k citations Michael Berk, Lana J. Williams et al. BMC Medicine profile →
  3. Cytokines and major depression
    2005 949 citations Marieke Wichers, Michaël Maes et al. Progress in Neuro-Psychopharmacology and Biological Psychiatry profile →
  4. Pathways underlying neuroprogression in bipolar disorder: Focus on inflammation, oxidative stress and neurotrophic factors
    2010 928 citations Michael Berk, Ana C. Andreazza et al. Neuroscience & Biobehavioral Reviews profile →
  5. A review on the oxidative and nitrosative stress (O&NS) pathways in major depression and their possible contribution to the (neuro)degenerative processes in that illness
    2010 924 citations Michaël Maes, Piotr Gałecki et al. Progress in Neuro-Psychopharmacology and Biological Psychiatry profile →
  6. Evidence for an immune response in major depression: A review and hypothesis
    1995 799 citations Michaël Maes Progress in Neuro-Psychopharmacology and Biological Psychiatry profile →
  7. The inflammatory & neurodegenerative (I&ND) hypothesis of depression: leads for future research and new drug developments in depression
    2008 717 citations Michaël Maes, Jens Noraberg et al. Metabolic Brain Disease profile →
  8. Mechanistic explanations how cell-mediated immune activation, inflammation and oxidative and nitrosative stress pathways and their sequels and concomitants play a role in the pathophysiology of unipolar depression
    2011 675 citations Brian E. Leonard, Michaël Maes Neuroscience & Biobehavioral Reviews profile →
  9. THE EFFECTS OF PSYCHOLOGICAL STRESS ON HUMANS: INCREASED PRODUCTION OF PRO-INFLAMMATORY CYTOKINES AND Th1-LIKE RESPONSE IN STRESS-INDUCED ANXIETY
    1998 630 citations Michaël Maes, Cai Song et al. Cytokine profile →
  10. INCREASED SERUM IL-6 AND IL-1 RECEPTOR ANTAGONIST CONCENTRATIONS IN MAJOR DEPRESSION AND TREATMENT RESISTANT DEPRESSION
    1997 572 citations Michaël Maes, Eugène Bosmans et al. Cytokine profile →
  11. The new ‘5-HT’ hypothesis of depression: Cell-mediated immune activation induces indoleamine 2,3-dioxygenase, which leads to lower plasma tryptophan and an increased synthesis of detrimental tryptophan catabolites (TRYCATs), both of which contribute to the onset of depression
    2010 547 citations Michaël Maes, Marta Kubera et al. Progress in Neuro-Psychopharmacology and Biological Psychiatry profile →
  12. Increased plasma concentrations of interleukin-6, soluble interleukin-6, soluble interleukin-2 and transferrin receptor in major depression
    1995 513 citations Michaël Maes, Herbert Y. Meltzer et al. Journal of Affective Disorders profile →
  13. Major Depression and Activation of The Inflammatory Response System
    1999 508 citations Michaël Maes Advances in experimental medicine and biology profile →
  14. Redox regulation of the immune response
    2022 307 citations Gerwyn Morris, Maria Gevezova et al. profile →
  15. Incidence, prevalence, and global burden of schizophrenia - data, with critical appraisal, from the Global Burden of Disease (GBD) 2019
    2023 173 citations Marco Solmi, André F. Carvalho et al. Molecular Psychiatry profile →
  16. Persistent SARS-CoV-2 Infection, EBV, HHV-6 and Other Factors May Contribute to Inflammation and Autoimmunity in Long COVID
    2023 76 citations Michaël Maes et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michaël Maes 28.3k 19.2k 14.1k 9.8k 7.3k 1.0k 62.4k
Michael Berk 15.8k 0.6× 6.5k 0.3× 22.5k 1.6× 9.3k 1.0× 8.3k 1.1× 1.4k 67.6k
Charles B. Nemeroff 14.7k 0.5× 24.5k 1.3× 10.3k 0.7× 11.1k 1.1× 5.6k 0.8× 975 76.8k
Andrew H. Miller 19.5k 0.7× 18.3k 1.0× 5.6k 0.4× 4.2k 0.4× 3.8k 0.5× 344 43.3k
Timothy G. Dinan 19.1k 0.7× 9.5k 0.5× 6.2k 0.4× 34.2k 3.5× 17.7k 2.4× 638 64.0k
Carmine M. Pariante 12.5k 0.4× 13.0k 0.7× 6.4k 0.5× 3.7k 0.4× 2.7k 0.4× 493 37.7k
John F. Cryan 22.0k 0.8× 11.2k 0.6× 4.9k 0.3× 42.2k 4.3× 21.4k 2.9× 743 78.9k
Brenda W.J.H. Penninx 10.1k 0.4× 9.5k 0.5× 10.5k 0.7× 4.0k 0.4× 11.7k 1.6× 986 73.5k
George P. Chrousos 6.8k 0.2× 25.4k 1.3× 6.2k 0.4× 11.3k 1.2× 15.4k 2.1× 1.4k 96.5k
Dennis S. Charney 15.6k 0.6× 15.8k 0.8× 16.0k 1.1× 6.8k 0.7× 3.5k 0.5× 583 84.2k
John H. Krystal 11.7k 0.4× 6.5k 0.3× 11.3k 0.8× 7.7k 0.8× 3.4k 0.5× 650 59.9k

Countries citing papers authored by Michaël Maes

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Maes

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

All Works

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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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