Remo D. Spescha

17 total papers · 601 total citations
11 papers, 402 citations indexed

About

Remo D. Spescha is a scholar working on Immunology, Neurology and Physiology. According to data from OpenAlex, Remo D. Spescha has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Neurology and 4 papers in Physiology. Recurrent topics in Remo D. Spescha's work include Atherosclerosis and Cardiovascular Diseases (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Remo D. Spescha is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Remo D. Spescha collaborates with scholars based in Switzerland, Sweden and United States. Remo D. Spescha's co-authors include Giovanni G. Camici, Thomas F. Lüscher, Alexander Akhmedov, Felix C. Tanner, Alexander Breitenstein, Yi Shi, Christine Lohmann, Stephan Sylvest Keller, Erik W. Holy and Roger M. Nitsch and has published in prestigious journals such as PLoS ONE, Hypertension and European Heart Journal.

In The Last Decade

Remo D. Spescha

11 papers receiving 396 citations

Author Peers

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

Author Last Decade Papers Cites
Remo D. Spescha 131 126 102 85 70 11 402
Tingting Xu 101 0.8× 159 1.3× 103 1.0× 51 0.6× 33 0.5× 18 442
Daniel Siuda 134 1.0× 137 1.1× 74 0.7× 58 0.7× 30 0.4× 10 359
Saizhu Wu 74 0.6× 168 1.3× 65 0.6× 55 0.6× 85 1.2× 20 427
Hye-Na Cha 130 1.0× 158 1.3× 60 0.6× 44 0.5× 97 1.4× 19 385
Rokhsana Mortuza 90 0.7× 161 1.3× 100 1.0× 30 0.4× 58 0.8× 9 374
Julia S. Jacobs 116 0.9× 254 2.0× 74 0.7× 29 0.3× 81 1.2× 16 427
Mengwei Sun 121 0.9× 191 1.5× 118 1.2× 37 0.4× 151 2.2× 13 435
Tatiana Bédarida 132 1.0× 178 1.4× 33 0.3× 34 0.4× 34 0.5× 8 359
Jieru Shen 50 0.4× 220 1.7× 48 0.5× 40 0.5× 60 0.9× 11 390
Ai-Li Xu 79 0.6× 180 1.4× 53 0.5× 39 0.5× 37 0.5× 12 365

Countries citing papers authored by Remo D. Spescha

Since Specialization
Citations

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

Fields of papers citing papers by Remo D. Spescha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Remo D. Spescha. 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 Remo D. Spescha. The network helps show where Remo D. Spescha may publish in the future.

Co-authorship network of co-authors of Remo D. Spescha

This figure shows the co-authorship network connecting the top 25 collaborators of Remo D. Spescha. A scholar is included among the top collaborators of Remo D. Spescha 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 Remo D. Spescha. Remo D. Spescha 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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