Katja Maino

1.5k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Katja Maino is a scholar working on Psychiatry and Mental health, Pharmacology and Biological Psychiatry. According to data from OpenAlex, Katja Maino has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Psychiatry and Mental health, 3 papers in Pharmacology and 3 papers in Biological Psychiatry. Recurrent topics in Katja Maino's work include Schizophrenia research and treatment (6 papers), Tryptophan and brain disorders (3 papers) and Treatment of Major Depression (3 papers). Katja Maino is often cited by papers focused on Schizophrenia research and treatment (6 papers), Tryptophan and brain disorders (3 papers) and Treatment of Major Depression (3 papers). Katja Maino collaborates with scholars based in Germany, Austria and United States. Katja Maino's co-authors include Michael Riedel, Norbert Müller, Werner Kissling, Markus Schwarz, Stefan Leucht, Stephan Heres, Ilja Spellmann, Sandra Dehning, John M. Davis and H-J Möller and has published in prestigious journals such as American Journal of Psychiatry, Psychological Medicine and Molecular Psychiatry.

In The Last Decade

Katja Maino

9 papers receiving 1.0k citations

Hit Papers

The cyclooxygenase-2 inhibitor celecoxib has therapeutic ... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katja Maino Germany 7 554 429 328 170 122 9 1.1k
Ilja Spellmann Germany 21 707 1.3× 501 1.2× 581 1.8× 222 1.3× 164 1.3× 36 1.7k
J.M. Olivares Spain 25 325 0.6× 106 0.2× 1.1k 3.4× 225 1.3× 111 0.9× 96 2.0k
A. Klimke Germany 22 225 0.4× 113 0.3× 709 2.2× 247 1.5× 114 0.9× 79 1.7k
Krzysztof Kus Poland 18 130 0.2× 167 0.4× 113 0.3× 106 0.6× 42 0.3× 108 1.1k
Bruno Agustini Australia 13 285 0.5× 224 0.5× 203 0.6× 101 0.6× 79 0.6× 23 915
Romain Colle France 19 336 0.6× 180 0.4× 168 0.5× 238 1.4× 82 0.7× 84 1.2k
David M. Marks United States 15 126 0.2× 131 0.3× 345 1.1× 220 1.3× 80 0.7× 29 953
Alexander Kautzky Austria 27 384 0.7× 109 0.3× 457 1.4× 635 3.7× 82 0.7× 83 1.8k
Heidi J. Wehring United States 21 146 0.3× 60 0.1× 484 1.5× 105 0.6× 47 0.4× 49 1.2k
Daniel K. Hall‐Flavin United States 24 228 0.4× 88 0.2× 320 1.0× 351 2.1× 36 0.3× 47 1.7k

Countries citing papers authored by Katja Maino

Since Specialization
Citations

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

Fields of papers citing papers by Katja Maino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Maino

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

All Works

9 of 9 papers shown
1.
Heres, Stephan, et al.. (2012). Patients' acceptance of the deltoid application of risperidone long-acting injection. European Neuropsychopharmacology. 22(12). 897–901. 7 indexed citations
2.
Mendel, Rosmarie, Eva Traut‐Mattausch, Eva Jonas, et al.. (2011). Confirmation bias: why psychiatrists stick to wrong preliminary diagnoses. Psychological Medicine. 41(12). 2651–2659. 60 indexed citations
3.
Kissling, Werner, et al.. (2009). Long-term observation of patients successfully switched to risperidone long-acting injectable: A retrospective, naturalistic 18-month mirror-image study of hospitalization rates and therapy costs. International Journal of Psychiatry in Clinical Practice. 14(1). 53–62. 18 indexed citations
4.
Musil, Richard, Ilja Spellmann, Michael Riedel, et al.. (2008). SNAP-25 gene polymorphisms and weight gain in schizophrenic patients. Journal of Psychiatric Research. 42(12). 963–970. 30 indexed citations
5.
Maino, Katja, et al.. (2007). T- and B-lymphocytes in patients with schizophrenia in acute psychotic episode and the course of the treatment. Psychiatry Research. 152(2-3). 173–180. 59 indexed citations
7.
Müller, Norbert, Markus Schwarz, Sandra Dehning, et al.. (2006). 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. Molecular Psychiatry. 11(7). 680–684. 628 indexed citations breakdown →
8.
Schwarz, Markus, Sandra Dehning, Anja Cerovecki, et al.. (2006). P.2.c.030 The COX-2 inhibitor celecoxib has therapeutic effects in major depression:results of a double-blind, placebo controlled, add-on study to reboxetine. European Neuropsychopharmacology. 16. S329–S329. 1 indexed citations
9.
Musil, Richard, Ilja Spellmann, Michael Riedel, et al.. (2006). P.3.c.035 SNAP-25 gene polymorphisms and weight gain in schizophrenic patients treated with atypical antipsychotics. European Neuropsychopharmacology. 16. S415–S415. 6 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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