Jasper N. Prüßmann

9 total papers · 480 total citations
5 papers, 323 citations indexed

About

Jasper N. Prüßmann is a scholar working on Immunology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Jasper N. Prüßmann has authored 5 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Jasper N. Prüßmann's work include Autoimmune Bullous Skin Diseases (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Urticaria and Related Conditions (2 papers). Jasper N. Prüßmann is often cited by papers focused on Autoimmune Bullous Skin Diseases (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Urticaria and Related Conditions (2 papers). Jasper N. Prüßmann collaborates with scholars based in Germany, United States and Poland. Jasper N. Prüßmann's co-authors include Mauro Di Pilato, V. Mani, Esteban Carrizosa, Francesco Marangoni, Thorsten R. Mempel, Aleksandra J. Ozga, Martin Thelen, Shivashankar Othy, Matteo Ligorio and Alexandra–Chloé Villani and has published in prestigious journals such as Nature, Cell and The Journal of Pathology.

In The Last Decade

Jasper N. Prüßmann

5 papers receiving 320 citations

Author Peers

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

Author Last Decade Papers Cites
Jasper N. Prüßmann 218 139 65 47 43 5 323
Linda M. Hartkamp 206 0.9× 133 1.0× 98 1.5× 32 0.7× 24 0.6× 8 350
Clifford R. Restaino 174 0.8× 94 0.7× 140 2.2× 37 0.8× 17 0.4× 5 338
Alessandra Jales 144 0.7× 137 1.0× 118 1.8× 41 0.9× 16 0.4× 6 329
Daniela Vorholt 225 1.0× 96 0.7× 137 2.1× 29 0.6× 29 0.7× 6 347
Emily Penman 262 1.2× 141 1.0× 98 1.5× 54 1.1× 19 0.4× 8 365
María Isabel Palomero 125 0.6× 81 0.6× 104 1.6× 44 0.9× 10 0.2× 6 291
Eva Grundschober 129 0.6× 110 0.8× 89 1.4× 25 0.5× 21 0.5× 6 276
Winnie Yao 222 1.0× 150 1.1× 153 2.4× 18 0.4× 48 1.1× 4 365
D Soto 75 0.3× 164 1.2× 194 3.0× 80 1.7× 32 0.7× 6 351
Ulrike Wiesner 199 0.9× 101 0.7× 67 1.0× 29 0.6× 23 0.5× 6 350

Countries citing papers authored by Jasper N. Prüßmann

Since Specialization
Citations

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

Fields of papers citing papers by Jasper N. Prüßmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jasper N. Prüßmann. 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 Jasper N. Prüßmann. The network helps show where Jasper N. Prüßmann may publish in the future.

Co-authorship network of co-authors of Jasper N. Prüßmann

This figure shows the co-authorship network connecting the top 25 collaborators of Jasper N. Prüßmann. A scholar is included among the top collaborators of Jasper N. Prüßmann 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 Jasper N. Prüßmann. Jasper N. Prüßmann 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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