G. Jungkunz

36 total papers · 864 total citations
25 papers, 652 citations indexed

About

G. Jungkunz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, G. Jungkunz has authored 25 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 8 papers in Pharmacology. Recurrent topics in G. Jungkunz's work include Neurotransmitter Receptor Influence on Behavior (6 papers), Receptor Mechanisms and Signaling (6 papers) and Treatment of Major Depression (6 papers). G. Jungkunz is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (6 papers), Receptor Mechanisms and Signaling (6 papers) and Treatment of Major Depression (6 papers). G. Jungkunz collaborates with scholars based in Germany, United Kingdom and Slovenia. G. Jungkunz's co-authors include Peter Riederer, Klaus‐Peter Lesch, Michael Knapp, Myrte Strik, W. Gsell, Susanne Jatzke, G. Stöber, Armin Heils, Jobst Meyer and Olga Okladnova and has published in prestigious journals such as Biological Psychiatry, Journal of Affective Disorders and Psychopharmacology.

In The Last Decade

G. Jungkunz

24 papers receiving 632 citations

Author Peers

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

Author						Papers	Cites
G. Jungkunz	398	212	183	158	95	25	652
Sixun Yu	210 0.5×	227 1.1×	108 0.6×	149 0.9×	89 0.9×	31	785
Hiroshi Mitsushio	467 1.2×	284 1.3×	125 0.7×	50 0.3×	56 0.6×	22	708
Manuela Di Benedetto	323 0.8×	309 1.5×	77 0.4×	63 0.4×	88 0.9×	20	565
Ru Band Lu	190 0.5×	221 1.0×	242 1.3×	65 0.4×	105 1.1×	17	709
Joel E. Kleinman	313 0.8×	253 1.2×	347 1.9×	77 0.5×	59 0.6×	13	743
Jasmin Bartl	298 0.7×	224 1.1×	138 0.8×	97 0.6×	335 3.5×	27	773
D.L. Murphy	289 0.7×	123 0.6×	180 1.0×	129 0.8×	63 0.7×	26	691
K.E. Vanover	448 1.1×	309 1.5×	191 1.0×	87 0.6×	34 0.4×	23	700
Ana Hitri	387 1.0×	204 1.0×	129 0.7×	79 0.5×	37 0.4×	30	586
Lilah Toker	200 0.5×	305 1.4×	137 0.7×	152 1.0×	111 1.2×	27	749

Countries citing papers authored by G. Jungkunz

Since Specialization

Citations

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

Fields of papers citing papers by G. Jungkunz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Jungkunz

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