Guenter Gisselmann

10 total papers · 625 total citations
9 papers, 482 citations indexed

About

Guenter Gisselmann is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Guenter Gisselmann has authored 9 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sensory Systems, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Nutrition and Dietetics. Recurrent topics in Guenter Gisselmann's work include Olfactory and Sensory Function Studies (5 papers), Ion Channels and Receptors (5 papers) and Neurobiology and Insect Physiology Research (3 papers). Guenter Gisselmann is often cited by papers focused on Olfactory and Sensory Function Studies (5 papers), Ion Channels and Receptors (5 papers) and Neurobiology and Insect Physiology Research (3 papers). Guenter Gisselmann collaborates with scholars based in Germany and Pakistan. Guenter Gisselmann's co-authors include Hanns Hatt, Muhammad Azhar Sherkheli, Angela K. Vogt-Eisele, Johannes Panten, Gabriele Vielhaber, Olaf Kletke, Julia F. Doerner, Heike Benecke, Anna Schmidt and Cornelia Hummel and has published in prestigious journals such as PLoS ONE, British Journal of Pharmacology and Frontiers in Pharmacology.

In The Last Decade

Guenter Gisselmann

9 papers receiving 471 citations

Author Peers

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

Author						Papers	Cites
Guenter Gisselmann	341	136	127	86	86	9	482
Muhammad Azhar Sherkheli	290 0.9×	109 0.8×	81 0.6×	102 1.2×	102 1.2×	20	522
Eri Kawabata-Shoda	283 0.8×	76 0.6×	156 1.2×	91 1.1×	23 0.3×	7	539
Fergal N McNamara	155 0.5×	238 1.8×	88 0.7×	204 2.4×	29 0.3×	9	502
Carin Hoffmeister	146 0.4×	61 0.4×	26 0.2×	167 1.9×	42 0.5×	12	482
Kar-Chan Choong	322 0.9×	212 1.6×	38 0.3×	59 0.7×	19 0.2×	6	539
Nicole Schöbel	183 0.5×	143 1.1×	135 1.1×	106 1.2×	44 0.5×	13	506
Marja Saarnilehto	377 1.1×	135 1.0×	32 0.3×	58 0.7×	17 0.2×	8	497
Mika Munari	351 1.0×	139 1.0×	78 0.6×	265 3.1×	13 0.2×	6	546
Asako Shima	206 0.6×	121 0.9×	72 0.6×	65 0.8×	37 0.4×	5	415
Hidetsugu Okada	196 0.6×	132 1.0×	99 0.8×	222 2.6×	13 0.2×	7	538

Countries citing papers authored by Guenter Gisselmann

Since Specialization

Citations

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

Fields of papers citing papers by Guenter Gisselmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guenter Gisselmann

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