Christian Heuss

11 total papers · 755 total citations
9 papers, 609 citations indexed

About

Christian Heuss is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Christian Heuss has authored 9 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Christian Heuss's work include Neuroscience and Neuropharmacology Research (4 papers), Cellular transport and secretion (3 papers) and Receptor Mechanisms and Signaling (3 papers). Christian Heuss is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Cellular transport and secretion (3 papers) and Receptor Mechanisms and Signaling (3 papers). Christian Heuss collaborates with scholars based in Switzerland, United States and Canada. Christian Heuss's co-authors include Urs Gerber, Beat H. Gähwiler, Massimo Scanziani, Masahiro Mori, Markus U. Ehrengruber, Kenneth Lundström, Christophe Schweitzer, Sondra Schlesinger, Theo Schäfer and Heinrich Betz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and The Journal of Physiology.

In The Last Decade

Christian Heuss

9 papers receiving 584 citations

Author Peers

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

Author						Papers	Cites
Christian Heuss	339	333	132	95	76	9	609
Ayelet Katzoff	143 0.4×	251 0.8×	31 0.2×	55 0.6×	71 0.9×	11	515
Fumika Sakaue	254 0.7×	138 0.4×	91 0.7×	111 1.2×	14 0.2×	17	621
Robert Eason	304 0.9×	70 0.2×	122 0.9×	26 0.3×	211 2.8×	10	625
Karen Ho	222 0.7×	123 0.4×	48 0.4×	22 0.2×	37 0.5×	13	501
Michael V. Hogan	191 0.6×	203 0.6×	68 0.5×	33 0.3×	166 2.2×	14	568
Bilal R. Malik	245 0.7×	182 0.5×	21 0.2×	117 1.2×	19 0.3×	15	567
Carlotta Grumelli	221 0.7×	259 0.8×	51 0.4×	163 1.7×	12 0.2×	9	620
André Miguel Miranda	314 0.9×	94 0.3×	32 0.2×	68 0.7×	18 0.2×	14	564
Heidi Faber‐Zuschratter	106 0.3×	125 0.4×	165 1.3×	12 0.1×	78 1.0×	13	535
Bertil B. Fredholm	298 0.9×	280 0.8×	260 2.0×	23 0.2×	42 0.6×	14	559

Countries citing papers authored by Christian Heuss

Since Specialization

Citations

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

Fields of papers citing papers by Christian Heuss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Heuss

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