Leslie Saurer

1.1k total citations
18 papers, 740 citations indexed

About

Leslie Saurer is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Leslie Saurer has authored 18 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Leslie Saurer's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (7 papers) and Inflammation biomarkers and pathways (4 papers). Leslie Saurer is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (7 papers) and Inflammation biomarkers and pathways (4 papers). Leslie Saurer collaborates with scholars based in Switzerland, Germany and United States. Leslie Saurer's co-authors include Christoph Mueller, Benjamin Weber, Artur Summerfield, Kenneth C. McCullough, Silvia Rihs, Nina Dickgreber, Mirjam Schenk, Caroline Buri, Peter U. Reber and Thomas Schaffner and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Immunology.

In The Last Decade

Leslie Saurer

17 papers receiving 721 citations

Peers

Leslie Saurer
Comparison fields: 5 of 82
  • Immunology 487
  • Molecular Biology 157
  • Surgery 150
  • Oncology 107
  • Genetics 91
Replace Danielle D. Kish with:
Danielle D. Kish United States
Daniel Seidel Germany
Lara S. Dungan Ireland
Rosa V. Garcia Canada
Ingrid Jurickova United States
Michael Judo United States
Benedetta Mattioli Italy
Lisa Richter Germany
Masahiro Ohsuga Japan
Rachel L. Robson United Kingdom
Danielle D. Kish United States View profile →
Citations per field, relative to Leslie Saurer
Leslie Saurer · 1×
Citations per year, relative to Leslie Saurer
Leslie Saurer · 1×

Countries citing papers authored by Leslie Saurer

Since Specialization
Citations

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

Fields of papers citing papers by Leslie Saurer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie Saurer. 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 Leslie Saurer. The network helps show where Leslie Saurer may publish in the future.

Co-authorship network of co-authors of Leslie Saurer

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie Saurer. A scholar is included among the top collaborators of Leslie Saurer 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 Leslie Saurer. Leslie Saurer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 43
2 79
3 22
4 29
5 91
6 28
7 51
8 30
9 58
10 0
11 111
12 12
13 36
14 21
15 16
16 5
17 2
18 106

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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