Jana Podhorná

2.0k total citations
32 papers, 1.5k citations indexed

About

Jana Podhorná is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Jana Podhorná has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 12 papers in Psychiatry and Mental health and 9 papers in Cognitive Neuroscience. Recurrent topics in Jana Podhorná's work include Neurotransmitter Receptor Influence on Behavior (11 papers), Neuroendocrine regulation and behavior (8 papers) and Memory and Neural Mechanisms (7 papers). Jana Podhorná is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (11 papers), Neuroendocrine regulation and behavior (8 papers) and Memory and Neural Mechanisms (7 papers). Jana Podhorná collaborates with scholars based in Germany, Canada and United States. Jana Podhorná's co-authors include Franco Borsini, Donatella Marazziti, Richard E. Brown, Michael Didriksen, Uwe Reuter, Piero Barbanti, Hans‐Christoph Diener, Carl Dahlöf, Keith B.J. Franklin and Kaj Blennow and has published in prestigious journals such as Brain Research, Neuroscience & Biobehavioral Reviews and British Journal of Pharmacology.

In The Last Decade

Jana Podhorná

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jana Podhorná Germany 16 513 489 331 297 280 32 1.5k
Rubem Carlos Araújo Guedes Brazil 25 824 1.6× 321 0.7× 435 1.3× 436 1.5× 376 1.3× 139 2.3k
Monique L. Smith United States 16 495 1.0× 320 0.7× 388 1.2× 197 0.7× 364 1.3× 28 1.3k
Roberto Coccurello Italy 30 557 1.1× 176 0.4× 630 1.9× 272 0.9× 602 2.1× 73 2.3k
Francisco Navarrete Spain 28 1.0k 2.0× 172 0.4× 239 0.7× 357 1.2× 289 1.0× 95 2.4k
Nikolay Lukoyanov Portugal 22 770 1.5× 160 0.3× 294 0.9× 500 1.7× 239 0.9× 47 1.7k
Changhai Cui United States 16 795 1.5× 230 0.5× 205 0.6× 304 1.0× 663 2.4× 20 1.8k
Ágnes Rimanóczy Hungary 25 460 0.9× 250 0.5× 271 0.8× 152 0.5× 386 1.4× 59 1.5k
Antonio Caprioli Italy 25 530 1.0× 175 0.4× 403 1.2× 333 1.1× 327 1.2× 38 1.5k
Fabrício A. Pamplona Brazil 24 1.1k 2.2× 245 0.5× 239 0.7× 675 2.3× 242 0.9× 44 2.1k
Mark Egli United States 18 1.0k 2.0× 121 0.2× 404 1.2× 318 1.1× 379 1.4× 33 2.0k

Countries citing papers authored by Jana Podhorná

Since Specialization
Citations

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

Fields of papers citing papers by Jana Podhorná

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Podhorná

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

All Works

20 of 20 papers shown
1.
Fleischhacker, W. Wolfgang, Jana Podhorná, Yihua Zhao, et al.. (2021). Efficacy and safety of the novel glycine transporter inhibitor BI 425809 once daily in patients with schizophrenia: a double-blind, randomised, placebo-controlled phase 2 study. The Lancet Psychiatry. 8(3). 191–201. 96 indexed citations
2.
Kharawala, Saifuddin, et al.. (2021). The relationship between cognition and functioning in schizophrenia: A semi-systematic review. Schizophrenia Research Cognition. 27. 100217–100217. 70 indexed citations
3.
4.
Podhorná, Jana, et al.. (2020). Alzheimer’s Diagnosis: Real-World Physician Behavior Across Countries. Advances in Therapy. 37(2). 883–893. 16 indexed citations
5.
Lewczuk, Piotr, Natalia Ermann, Ulf Andréasson, et al.. (2018). Plasma neurofilament light as a potential biomarker of neurodegeneration in Alzheimer’s disease. Alzheimer s Research & Therapy. 10(1). 71–71. 230 indexed citations
6.
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Brenner, Stefanie S., et al.. (2012). Pharmacokinetics of the CGRP-receptor antagonist BI44370 during and between migraine attacks. British Journal of Clinical Pharmacology. 73(2). 320–320.
8.
Brecht, Stephan, et al.. (2010). Efficacy and Safety of Duloxetine 60 mg and 120 mg Daily in Patients Hospitalized for Severe Depression. The Journal of Clinical Psychiatry. 72(8). 1086–1094. 13 indexed citations
9.
Geist, Marie Aavang, Christiane Volbracht, Jana Podhorná, Jeppe Falsig, & Marcel Leist. (2007). Wide spectrum modulation by KP-544 in models relevant for neuronal survival. Neuroreport. 18(6). 571–575. 3 indexed citations
10.
Podhorná, Jana & Michael Didriksen. (2005). Performance of male C57BL/6J mice and Wistar rats in the water maze following various schedules of phencyclidine treatment. Behavioural Pharmacology. 16(1). 25–34. 29 indexed citations
11.
12.
Laurent, Vincent & Jana Podhorná. (2004). Subchronic phencyclidine treatment impairs performance of C57BL/6 mice in the attentional set-shifting task. Behavioural Pharmacology. 15(2). 141–148. 34 indexed citations
13.
Podhorná, Jana & Richard E. Brown. (2002). Strain differences in activity and emotionality do not account for differences in learning and memory performance between C57BL/6 and DBA/2 mice. Genes Brain & Behavior. 1(2). 96–110. 112 indexed citations
14.
Podhorná, Jana, Scott McCabe, & Richard E. Brown. (2002). Male and female C57BL/6 mice respond differently to diazepam challenge in avoidance learning tasks. Pharmacology Biochemistry and Behavior. 72(1-2). 13–21. 25 indexed citations
15.
Podhorná, Jana & M Kršiak. (2000). Behavioural effects of a benzodiazepine receptor partial agonist, Ro 19-8022, in the social conflict test in mice. Behavioural Pharmacology. 11(2). 143–151. 13 indexed citations
16.
Podhorná, Jana & Richard E. Brown. (2000). Interactions between N-methyl-d-aspartate and nitric oxide in the modulation of ultrasonic vocalizations of infant rats. European Journal of Pharmacology. 408(3). 265–271. 9 indexed citations
17.
Podhorná, Jana & Keith B.J. Franklin. (2000). Pontine Tegmentum Lesions Increase Anxiety-Like Behavior in Rats. Pharmacology Biochemistry and Behavior. 65(2). 267–273. 15 indexed citations
18.
Podhorná, Jana & Keith B.J. Franklin. (1999). Long-lasting increase in anxiety after electrolytic lesions of the pedunculopontine tegmental nucleus.. Behavioral Neuroscience. 113(3). 550–557. 11 indexed citations
19.
Podhorná, Jana & Keith B.J. Franklin. (1998). Lesions of the pedunclopontine tegmental nucleus increase anxiety in rats. Neuroreport. 9(8). 1783–1786. 14 indexed citations
20.
Kršiak, M, Jana Podhorná, & Klaus A. Miczek. (1998). Aggressive and social behavior after alprazolam withdrawal: experimental therapy with Ro 19-8022. Neuroscience & Biobehavioral Reviews. 23(2). 155–161. 10 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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