Silke Häusser‐Kinzel

891 citations
17 papers · 647 indexed · h-index 15
Topics
Multiple Sclerosis Research Studies (13 papers)T-cell and B-cell Immunology (11 papers)Immunotherapy and Immune Responses (9 papers)

In The Last Decade

Silke Häusser‐Kinzel

16 papers receiving 645 citations

Peers

Silke Häusser‐Kinzel
Comparison fields: 5 of 60
  • Pathology and Forensic Medicine 409
  • Immunology 343
  • Neurology 182
  • Oncology 103
  • Neurology 101
Replace Sebastian Torke with:
Sebastian Torke Germany
Jamie van Langelaar Netherlands
Scott M. Wemlinger United States
Robert B. Ratts United States
Mirjam Korporal Germany
Ilan Kolkowitz United States
Feng-Jun Mei Japan
Yann Hyvert United States
Josette Padilla United States
Brigitte Fritz Germany
Silke Häusser‐Kinzel relative to Sebastian Torke Germany Sebastian Torke's profile →
Citations per field
00.5×3.1×
Sebastian Torke · 1×
Citations per year

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

17 of 17 papers shown
#WorkIndexed citations
1 0
2 14
3 8
4 53
5 21
6 25
7 60
8 95
9 30
10 24
11 76
12 16
13 61
14 41
15 81
16 24
17 18

About Silke Häusser‐Kinzel

Silke Häusser‐Kinzel is a scholar working on Pathology and Forensic Medicine, Immunology and Neurology, having authored 17 papers that have together received 647 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (13 papers), T-cell and B-cell Immunology (11 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (409 citations), Immunology (343 citations) and Neurology (101 citations). Silke Häusser‐Kinzel has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Martin S. Weber, Klaus Lehmann‐Horn, Wolfgang Brück, Sebastian Torke, Darius Häusler, Claude C.A. Bernard, Scott S. Zamvil, Martin Weber, Gildas Lepennetier and Martin Weber. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature reviews. Immunology and Annals of Neurology.

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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