P. Gass

2.4k total citations
35 papers, 2.0k citations indexed

About

P. Gass is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, P. Gass has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Cellular and Molecular Neuroscience and 10 papers in Behavioral Neuroscience. Recurrent topics in P. Gass's work include Stress Responses and Cortisol (10 papers), Nuclear Receptors and Signaling (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). P. Gass is often cited by papers focused on Stress Responses and Cortisol (10 papers), Nuclear Receptors and Signaling (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). P. Gass collaborates with scholars based in Germany, United States and Italy. P. Gass's co-authors include Marika Kiessling, Thomas Herdegen, R Bravo, G. Schütz, Wolfgang Schmid, M. Zimmermann, Sabine Chourbaji, Klaus H. Kaestner, Christof Dormann and Barbara Vollmayr and has published in prestigious journals such as Nature, The EMBO Journal and The Journal of Comparative Neurology.

In The Last Decade

P. Gass

35 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Gass Germany 23 911 828 356 270 239 35 2.0k
Florence Rage France 27 922 1.0× 1.0k 1.3× 499 1.4× 455 1.7× 282 1.2× 49 2.6k
Therese Pham Sweden 21 643 0.7× 598 0.7× 401 1.1× 441 1.6× 255 1.1× 31 2.1k
Mimi A. Trinh United States 7 568 0.6× 1.0k 1.2× 214 0.6× 200 0.7× 344 1.4× 7 1.9k
Hiroshi Maeno Japan 20 962 1.1× 852 1.0× 189 0.5× 173 0.6× 336 1.4× 44 1.8k
Hans-Peter Lipp Switzerland 18 1.4k 1.5× 1.1k 1.3× 352 1.0× 305 1.1× 255 1.1× 21 2.5k
Sabine M. Hölter Germany 32 1.5k 1.6× 1.0k 1.2× 367 1.0× 145 0.5× 437 1.8× 79 3.0k
Shunwei Zhu Sweden 17 578 0.6× 403 0.5× 247 0.7× 171 0.6× 230 1.0× 25 1.4k
Minae Niwa Japan 27 893 1.0× 862 1.0× 260 0.7× 92 0.3× 208 0.9× 56 2.0k
Daniel S. Lorrain United States 32 1.3k 1.4× 1.0k 1.3× 292 0.8× 268 1.0× 419 1.8× 61 3.3k
Dragoš Inta Germany 26 776 0.9× 523 0.6× 369 1.0× 413 1.5× 161 0.7× 73 1.9k

Countries citing papers authored by P. Gass

Since Specialization
Citations

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

Fields of papers citing papers by P. Gass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Gass

This figure shows the co-authorship network connecting the top 25 collaborators of P. Gass. A scholar is included among the top collaborators of P. Gass 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 P. Gass. P. Gass 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.
2.
Schmidt, Michaela, Christiane Brandwein, Alessia Luoni, et al.. (2015). Morc1 knockout evokes a depression-like phenotype in mice. Behavioural Brain Research. 296. 7–14. 19 indexed citations
3.
Richter, S. Helene, P. Gass, & Johannes Fuß. (2014). Resting Is Rusting. The Neuroscientist. 20(4). 313–325. 52 indexed citations
4.
Filipović, Dragana, Jelena Zlatković, P. Gass, & Dragoš Inta. (2013). The differential effects of acute vs. chronic stress and their combination on hippocampal parvalbumin and inducible heat shock protein 70 expression. Neuroscience. 236. 47–54. 71 indexed citations
5.
6.
Chourbaji, Sabine, Natascha Pfeiffer, Christof Dormann, et al.. (2010). The suitability of 129SvEv mice for studying depressive-like behaviour: Both males and females develop learned helplessness. Behavioural Brain Research. 211(1). 105–110. 12 indexed citations
7.
Brinks, Vera, S. Berger, P. Gass, E. R. de Kloet, & Melly S. Oitzl. (2009). Mineralocorticoid receptors in control of emotional arousal and fear memory. Hormones and Behavior. 56(2). 232–238. 52 indexed citations
8.
Chourbaji, Sabine, et al.. (2005). Learned helplessness: Validity and reliability of depressive-like states in mice. Brain Research Protocols. 16(1-3). 70–78. 163 indexed citations
9.
Mantamadiotis, Theo, et al.. (2000). Normal neuronal plasticity in CREB-deficient mouse strains. European Journal of Neuroscience. 12. 30–30. 1 indexed citations
10.
Monaghan, A. Paula, et al.. (1997). Defective limbic system in mice lacking the tailless gene. Nature. 390(6659). 515–517. 151 indexed citations
11.
Gass, P., C. Bruehl, Thomas Herdegen, et al.. (1997). Induction of FOS and JUN proteins during focal epilepsy: congruences with and differences to [14C]deoxyglucose metabolism. Molecular Brain Research. 46(1-2). 177–184. 23 indexed citations
12.
Fritze, K., Christoph Wießner, Niels Kuster, et al.. (1997). Effect of global system for mobile communication microwave exposure on the genomic response of the rat brain. Neuroscience. 81(3). 627–639. 102 indexed citations
13.
Rossner, Moritz J., Jan Dörr, P. Gass, Markus H. Schwab, & Klaus‐Armin Nave. (1997). SHARPs: mammalian enhancer-of-split- and hairy-related proteins coupled to neuronal stimulation.. PubMed. 10(3-4). 460–75. 107 indexed citations
14.
Gass, P., et al.. (1996). Transient expression of the mitogen-activated protein kinase phosphatase MKP-1 (3CH134/ERP1) in the rat brain after limbic epilepsy. Molecular Brain Research. 41(1-2). 74–80. 24 indexed citations
15.
Gass, P., Peter Prior, & Marika Kiessling. (1995). Correlation between seizure intensity and stress protein expression after limbic epilepsy in the rat brain. Neuroscience. 65(1). 27–36. 76 indexed citations
16.
Schmid, Wolfgang, et al.. (1995). Effects of kainic acid induced seizures on immediate early gene expression in mice with a targeted mutation of the CREB gene. Brain Research. 681(1-2). 8–14. 15 indexed citations
17.
Herdegen, Thomas, Marika Kiessling, Sylvia Bele, et al.. (1993). The KROX-20 transcription factor in the rat central and peripheral nervous systems: novel expression pattern of an immediate early gene-encoded protein. Neuroscience. 57(1). 41–52. 43 indexed citations
18.
Gass, P., Thomas Herdegen, R Bravo, & Marika Kiessling. (1993). Induction and suppression of immediate early genes in specific rat brain regions by the non-competitive N-methyl-d-aspartate receptor antagonist MK-801. Neuroscience. 53(3). 749–758. 128 indexed citations
19.
Herdegen, Thomas, Jürgen Sandkühler, P. Gass, et al.. (1993). JUN, FOS, KROX, and CREB transcription factor proteins in the rat cortex: Basal expression and induction by spreading depression and epileptic seizures. The Journal of Comparative Neurology. 333(2). 271–288. 130 indexed citations
20.
Schwechheimer, K., P. Gass, & H. H. Berlet. (1992). Expression of oligodendroglia and Schwann cell markers in human nervous system tumors. Acta Neuropathologica. 83(3). 283–291. 23 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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