Michael Riedel

13.4k total citations · 2 hit papers
219 papers, 9.7k citations indexed

About

Michael Riedel is a scholar working on Psychiatry and Mental health, Pharmacology and Clinical Psychology. According to data from OpenAlex, Michael Riedel has authored 219 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Psychiatry and Mental health, 45 papers in Pharmacology and 34 papers in Clinical Psychology. Recurrent topics in Michael Riedel's work include Schizophrenia research and treatment (80 papers), Treatment of Major Depression (40 papers) and Bipolar Disorder and Treatment (39 papers). Michael Riedel is often cited by papers focused on Schizophrenia research and treatment (80 papers), Treatment of Major Depression (40 papers) and Bipolar Disorder and Treatment (39 papers). Michael Riedel collaborates with scholars based in Germany, United States and Canada. Michael Riedel's co-authors include Norbert Müller, Markus Schwarz, Manfred Ackenheil, Peter E. Light, Hans‐Jürgen Möller, Sandra Dehning, Michael Obermeier, Ilja Spellmann, Florian Seemüller and Wolfgang Gäebel and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and PLoS ONE.

In The Last Decade

Michael Riedel

219 papers receiving 9.4k citations

Hit Papers

align trajectories sort by overperformance

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.

The cyclooxygenase-2 inhibitor celecoxib has therapeutic effects in major depression: results of a double-blind, randomized, placebo controlled, add-on pilot study to reboxetine

2006 628 citations Norbert Müller, Markus Schwarz et al. profile →
Maturation of Human Embryonic Stem Cell–Derived Pancreatic Progenitors Into Functional Islets Capable of Treating Pre-existing Diabetes in Mice

2012 428 citations Michael Riedel et al. profile →

Author Peers

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

Author						Papers	Cites
Michael Riedel	3.5k	2.5k	1.8k	1.3k	1.3k	219	9.7k
Wagner F. Gattaz	6.1k 1.7×	1.9k 0.8×	2.5k 1.4×	350 0.3×	1.6k 1.3×	387	14.5k
Elisa Brietzke	4.3k 1.2×	4.4k 1.8×	1.5k 0.9×	277 0.2×	2.2k 1.7×	274	12.1k
Hiroshi Kunugi	2.9k 0.8×	3.0k 1.2×	4.2k 2.3×	364 0.3×	1.6k 1.2×	446	15.7k
Tung‐Ping Su	3.4k 1.0×	1.5k 0.6×	785 0.4×	345 0.3×	1.3k 1.0×	281	9.6k
Keith L. Davis	2.4k 0.7×	547 0.2×	1.7k 0.9×	472 0.4×	842 0.7×	238	9.2k
Richard Jed Wyatt	4.3k 1.2×	1.2k 0.5×	1.3k 0.7×	811 0.6×	1.4k 1.1×	193	11.0k
Manfred Uhr	1.2k 0.3×	2.3k 0.9×	1.7k 1.0×	236 0.2×	1.1k 0.8×	199	10.2k
Markus Schwarz	3.4k 1.0×	5.8k 2.4×	2.7k 1.5×	267 0.2×	668 0.5×	230	12.3k
Mario Maj	4.5k 1.3×	1.3k 0.5×	553 0.3×	319 0.2×	3.9k 3.1×	301	11.7k
Alasdair M. Barr	2.0k 0.6×	754 0.3×	1.5k 0.8×	315 0.2×	665 0.5×	222	7.5k

Countries citing papers authored by Michael Riedel

Since Specialization

Citations

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

Fields of papers citing papers by Michael Riedel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Riedel

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Riedel. A scholar is included among the top collaborators of Michael Riedel 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 Michael Riedel. Michael Riedel 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

Seemüller, Florian, Rebecca Schennach, Richard Musil, et al.. (2023). A factor analytic comparison of three commonly used depression scales (HAMD, MADRS, BDI) in a large sample of depressed inpatients. BMC Psychiatry. 23(1). 548–548. 26 indexed citations

Seemüller, Florian, Richard Musil, Rebecca Schennach, et al.. (2021). Chronic vs non-chronic depression in psychiatric inpatient care - Data from a large naturalistic multicenter trial. Journal of Affective Disorders. 299. 73–84. 6 indexed citations

Kautzky, Alexander, Markus Dold, Lucie Bartova, et al.. (2020). Combining machine learning algorithms for prediction of antidepressant treatment response. Acta Psychiatrica Scandinavica. 143(1). 36–49. 33 indexed citations

Musil, Richard, Florian Seemüller, Sebastian Meyer, et al.. (2017). Subtypes of depression and their overlap in a naturalistic inpatient sample of major depressive disorder. International Journal of Methods in Psychiatric Research. 27(1). 33 indexed citations

Seemüller, Florian, Rebecca Schennach, Andreas Mayr, et al.. (2012). Akathisia and Suicidal Ideation in First-Episode Schizophrenia. Journal of Clinical Psychopharmacology. 32(5). 694–698. 27 indexed citations

Musil, Richard, Peter Zill, Florian Seemüller, et al.. (2012). Genetics of emergent suicidality during antidepressive treatment—Data from a naturalistic study on a large sample of inpatients with a major depressive episode. European Neuropsychopharmacology. 23(7). 663–674. 18 indexed citations

Severus, Emanuel, Florian Seemüller, Michael Berger, et al.. (2012). Mirroring everyday clinical practice in clinical trial design: a new concept to improve the external validity of randomized double-blind placebo-controlled trials in the pharmacological treatment of major depression. BMC Medicine. 10(1). 67–67. 8 indexed citations

Severus, Emanuel, Ilya Lipkovich, Florian Seemüller, et al.. (2011). The potential role of Marginal Structural Models (MSMs) in testing the effectiveness of antidepressants in the treatment of patients with major depression in everyday clinical practice. The World Journal of Biological Psychiatry. 14(5). 386–395. 2 indexed citations

Riedel, Michael, Hans‐Jürgen Möller, Michael Obermeier, et al.. (2011). Clinical predictors of response and remission in inpatients with depressive syndromes. Journal of Affective Disorders. 133(1-2). 137–149. 62 indexed citations

10.

Musil, Richard, Markus Schwarz, Michael Riedel, et al.. (2011). Elevated macrophage migration inhibitory factor and decreased transforming growth factor-beta levels in major depression — No influence of celecoxib treatment. Journal of Affective Disorders. 134(1-3). 217–225. 102 indexed citations

11.

Schennach-Wolff, Rebecca, Michael Obermeier, Florian Seemüller, et al.. (2010). Does Clinical Judgment of Baseline Severity and Changes in Psychopathology Depend on the Patient Population?. Journal of Clinical Psychopharmacology. 30(6). 726–731. 26 indexed citations

12.

Riedel, Michael, Hans‐Jürgen Möller, Michael Obermeier, et al.. (2010). Response and remission criteria in major depression – A validation of current practice. Journal of Psychiatric Research. 44(15). 1063–1068. 223 indexed citations

13.

Seemüller, Florian, Michael Riedel, Michael Obermeier, et al.. (2010). Outcomes of 1014 naturalistically treated inpatients with major depressive episode. European Neuropsychopharmacology. 20(5). 346–355. 57 indexed citations

14.

Henkel, V., Florian Seemüller, Michael Obermeier, et al.. (2010). Relationship between Baseline Severity of Depression and Antidepressant Treatment Outcome. Pharmacopsychiatry. 44(1). 27–32. 17 indexed citations

15.

Seemüller, Florian, Sandra Dittmann, Heinz Grunze, et al.. (2009). Are atypical depression and bipolar depression the same. Bipolar Disorders. 1 indexed citations

16.

Henkel, Verena, Florian Seemüller, Michael Obermeier, et al.. (2008). Does early improvement triggered by antidepressants predict response/remission? — Analysis of data from a naturalistic study on a large sample of inpatients with major depression. Journal of Affective Disorders. 115(3). 439–449. 139 indexed citations

17.

Jäger, Markus, Michael Riedel, Max Schmauß, et al.. (2008). Depression during an acute episode of schizophrenia or schizophreniform disorder and its impact on treatment response. Psychiatry Research. 158(3). 297–305. 22 indexed citations

18.

Müller, Norbert, Rebecca Schennach, Michael Riedel, & Hans‐Jürgen Möller. (2008). Duloxetine in the treatment of major psychiatric and neuropathic disorders. Expert Review of Neurotherapeutics. 8(4). 527–536. 22 indexed citations

19.

Pogarell, Oliver, Gabriele Poepperl, Christoph Mulert, et al.. (2005). SERT and DAT availabilities under citalopram treatment in obsessive–compulsive disorder (OCD). European Neuropsychopharmacology. 15(5). 521–524. 36 indexed citations

20.

Riedel, Michael, et al.. (2003). Aripiprazol - Führt ein neuer wirkungsmechanismus zu einer neuen qualität in der schizophrenie-therapie?. 10(2). 46–54. 1 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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