Silke Häusser‐Kinzel

21 total papers · 878 total citations
16 papers, 633 citations indexed

About

Silke Häusser‐Kinzel is a scholar working on Immunology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Silke Häusser‐Kinzel has authored 16 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 13 papers in Pathology and Forensic Medicine and 4 papers in Neurology. Recurrent topics in Silke Häusser‐Kinzel's work include Multiple Sclerosis Research Studies (13 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (9 papers). Silke Häusser‐Kinzel is often cited by papers focused on Multiple Sclerosis Research Studies (13 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (9 papers). Silke Häusser‐Kinzel collaborates with scholars based in Germany, United States and Australia. Silke Häusser‐Kinzel's co-authors include Martin S. Weber, Klaus Lehmann‐Horn, Wolfgang Brück, Sebastian Torke, Darius Häusler, Claude C.A. Bernard, Scott S. Zamvil, Martin Weber, Martin Weber and Gildas Lepennetier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature reviews. Immunology and Annals of Neurology.

In The Last Decade

Silke Häusser‐Kinzel

16 papers receiving 631 citations

Author Peers

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

Author Last Decade Papers Cites
Silke Häusser‐Kinzel 400 341 182 103 96 16 633
Jamie van Langelaar 277 0.7× 323 0.9× 72 0.4× 103 1.0× 110 1.1× 14 559
Rikke Ratzer 427 1.1× 280 0.8× 148 0.8× 131 1.3× 71 0.7× 22 702
M. Cossburn 493 1.2× 173 0.5× 240 1.3× 120 1.2× 45 0.5× 17 684
Anna R. Tröscher 230 0.6× 219 0.6× 146 0.8× 69 0.7× 204 2.1× 14 657
Sarah Rasia 400 1.0× 134 0.4× 188 1.0× 111 1.1× 99 1.0× 13 567
Etsuji Saji 388 1.0× 210 0.6× 184 1.0× 57 0.6× 207 2.2× 15 708
Nicole Heijmans 329 0.8× 322 0.9× 77 0.4× 101 1.0× 136 1.4× 18 638
Roger D. Stone 396 1.0× 203 0.6× 136 0.7× 91 0.9× 86 0.9× 19 716
Wolfgang Brueck 222 0.6× 275 0.8× 88 0.5× 61 0.6× 130 1.4× 13 635
Andrea Viehöver 232 0.6× 304 0.9× 74 0.4× 135 1.3× 65 0.7× 10 645

Countries citing papers authored by Silke Häusser‐Kinzel

Since Specialization
Citations

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

Fields of papers citing papers by Silke Häusser‐Kinzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silke Häusser‐Kinzel. 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 Silke Häusser‐Kinzel. The network helps show where Silke Häusser‐Kinzel may publish in the future.

Co-authorship network of co-authors of Silke Häusser‐Kinzel

This figure shows the co-authorship network connecting the top 25 collaborators of Silke Häusser‐Kinzel. A scholar is included among the top collaborators of Silke Häusser‐Kinzel 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 Silke Häusser‐Kinzel. Silke Häusser‐Kinzel 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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