Peter von Wussow

71 total papers · 1.9k total citations
44 papers, 1.3k citations indexed

About

Peter von Wussow is a scholar working on Immunology, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peter von Wussow has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 15 papers in Rheumatology and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peter von Wussow's work include Monoclonal and Polyclonal Antibodies Research (15 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (8 papers). Peter von Wussow is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (15 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (8 papers). Peter von Wussow collaborates with scholars based in Germany, United States and Switzerland. Peter von Wussow's co-authors include D Jakschies, H. Deicher, H. Deicher, Michel A. Horisberger, Heinz‐Kurt Hochkeppel, Frank Hartmann, H. Deicher, Marzenna Wiranowska-Stewart, William E. Stewart and Chris D. Platsoucas and has published in prestigious journals such as Blood, The Journal of Immunology and Hepatology.

In The Last Decade

Peter von Wussow

43 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Peter von Wussow 648 317 287 239 232 44 1.3k
María Francisca González‐Escribano 718 1.1× 165 0.5× 497 1.7× 139 0.6× 335 1.4× 62 1.6k
Marie‐Christine Jacob 563 0.9× 326 1.0× 272 0.9× 332 1.4× 137 0.6× 66 1.4k
Nathalie Balandraud 533 0.8× 330 1.0× 943 3.3× 247 1.0× 177 0.8× 56 1.8k
Pascale Loiseau 749 1.2× 177 0.6× 303 1.1× 247 1.0× 209 0.9× 45 1.6k
Jean‐Claude Bensa 580 0.9× 223 0.7× 254 0.9× 123 0.5× 95 0.4× 48 1.2k
T. Sasazuki 572 0.9× 164 0.5× 150 0.5× 145 0.6× 138 0.6× 36 1.2k
Thierry Lazure 493 0.8× 330 1.0× 380 1.3× 199 0.8× 116 0.5× 67 1.5k
Angela Gause 505 0.8× 238 0.8× 296 1.0× 415 1.7× 109 0.5× 65 1.2k
A. Bootello 575 0.9× 186 0.6× 235 0.8× 652 2.7× 211 0.9× 54 1.5k
Laurence Ménard 1.1k 1.7× 253 0.8× 184 0.6× 151 0.6× 190 0.8× 26 1.6k

Countries citing papers authored by Peter von Wussow

Since Specialization
Citations

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

Fields of papers citing papers by Peter von Wussow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter von Wussow. 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 Peter von Wussow. The network helps show where Peter von Wussow may publish in the future.

Co-authorship network of co-authors of Peter von Wussow

This figure shows the co-authorship network connecting the top 25 collaborators of Peter von Wussow. A scholar is included among the top collaborators of Peter von Wussow 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 Peter von Wussow. Peter von Wussow 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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