Claudio Gemperle

510 total citations
8 papers, 416 citations indexed

About

Claudio Gemperle is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Claudio Gemperle has authored 8 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Claudio Gemperle's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Immune Response and Inflammation (3 papers) and Immune cells in cancer (2 papers). Claudio Gemperle is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Immune Response and Inflammation (3 papers) and Immune cells in cancer (2 papers). Claudio Gemperle collaborates with scholars based in Switzerland, Austria and Germany. Claudio Gemperle's co-authors include Martin Hersberger, Mattia Schmid, Nicole Rimann, Jacqueline Marti-Jaun, Viola Günther, Daniel R. Carvalho, Sabine Scholl‐Bürgi, Daniela Karall, Martina Huemer and James D. Weisfeld‐Adams and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Atherosclerosis.

In The Last Decade

Claudio Gemperle

8 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Gemperle Switzerland 8 161 122 117 103 72 8 416
Ian R. Riley United States 7 128 0.8× 232 1.9× 104 0.9× 148 1.4× 39 0.5× 8 448
Charlotte Jouvène United States 9 97 0.6× 125 1.0× 90 0.8× 99 1.0× 29 0.4× 11 339
Martina Barbara Schaefer Germany 13 115 0.7× 165 1.4× 138 1.2× 38 0.4× 37 0.5× 20 462
Roberta De Matteis United Kingdom 8 104 0.6× 126 1.0× 66 0.6× 91 0.9× 27 0.4× 9 335
Laurel L. Ballantyne Canada 12 65 0.4× 28 0.2× 199 1.7× 60 0.6× 25 0.3× 17 400
Kiyoko Matsui Japan 4 114 0.7× 74 0.6× 53 0.5× 16 0.2× 118 1.6× 5 425
Bochra Tourki United States 10 62 0.4× 59 0.5× 132 1.1× 43 0.4× 25 0.3× 15 296
Stephen J. Kirtland United Kingdom 10 66 0.4× 144 1.2× 131 1.1× 92 0.9× 18 0.3× 18 454
Robin Doyle United States 6 66 0.4× 155 1.3× 88 0.8× 53 0.5× 30 0.4× 8 404
Leonardo Gómez Rosso Argentina 15 57 0.4× 45 0.4× 117 1.0× 17 0.2× 110 1.5× 39 565

Countries citing papers authored by Claudio Gemperle

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Gemperle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Gemperle

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

All Works

8 of 8 papers shown
1.
Gemperle, Claudio, Mattia Schmid, Nicole Rimann, et al.. (2021). Resolvin D1 reduces inflammation in co-cultures of primary human macrophages and adipocytes by triggering macrophages. Prostaglandins Leukotrienes and Essential Fatty Acids. 174. 102363–102363. 13 indexed citations
2.
Huemer, Martina, Daniel R. Carvalho, Jaime Moritz Brum, et al.. (2016). Clinical phenotype, biochemical profile, and treatment in 19 patients with arginase 1 deficiency. Journal of Inherited Metabolic Disease. 39(3). 331–340. 30 indexed citations
3.
Schmid, Mattia, Claudio Gemperle, Nicole Rimann, & Martin Hersberger. (2016). Resolvin D1 Polarizes Primary Human Macrophages toward a Proresolution Phenotype through GPR32. The Journal of Immunology. 196(8). 3429–3437. 84 indexed citations
4.
Schmid, Mattia, et al.. (2015). ChemR23, the Receptor for Chemerin and Resolvin E1, Is Expressed and Functional on M1 but Not on M2 Macrophages. The Journal of Immunology. 194(5). 2330–2337. 132 indexed citations
5.
Schmid, Mattia, et al.. (2014). Low dose aspirin is associated with plasma chemerin levels and may reduce adipose tissue inflammation. Atherosclerosis. 235(2). 256–262. 27 indexed citations
6.
Gemperle, Claudio, et al.. (2012). Regulation of the Formyl Peptide Receptor 1 (FPR1) Gene in Primary Human Macrophages. PLoS ONE. 7(11). e50195–e50195. 37 indexed citations
7.
Gemperle, Claudio, et al.. (2012). Expression and regulation of 12/15-lipoxygenases in human primary macrophages. Atherosclerosis. 225(1). 121–127. 63 indexed citations
8.
Schmid, Mattia, et al.. (2012). Characterization of the Promoter and the Transcriptional Regulation of the Lipoxin A4 Receptor (FPR2/ALX) Gene in Human Monocytes and Macrophages. The Journal of Immunology. 188(4). 1856–1867. 30 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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