Michael Schnoor

3.7k citations
81 papers · 2.7k indexed · h-index 29

Michael Schnoor

79 papers receiving 2.7k citations

Peers

Michael Schnoor
Comparison fields: 5 of 120
  • Immunology and Allergy 281
  • Immunology 709
  • Neurology 187
  • Cell Biology 358
  • Molecular Biology 1.2k
Replace Jeffrey R. Weidner with:
Jeffrey R. Weidner United States
Sergio Catz United States
Michelle R. Lennartz United States
Arthur J. Verhoeven Netherlands
Alirio J. Melendez Singapore
Marco van Eijk Netherlands
Lynn Williams United Kingdom
Jennifer Major United States
Kaoru Hazeki Japan
Jana Staňková Canada
Michael Schnoor relative to Jeffrey R. Weidner United States Jeffrey R. Weidner's profile →
Citations per field
00.5×10×13.4×
Jeffrey R. Weidner · 1×
Citations per year

Countries citing papers authored by Michael Schnoor

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schnoor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael Schnoor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Schnoor Line = papers co-authored together Michael Schnoor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20235
3 20234
4 202111
5 202119
6 202014
7 20206
8 201923
9 201925
10 201826
11 2018165
12 2017143
13 201623
14 2014107
15 201314
16 2011133
17 201034
18 20098
19 2008236
20 200476

About Michael Schnoor

Michael Schnoor is a scholar working on Immunology and Allergy, Hematology and Neurology, having authored 81 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (22 papers), Immune Response and Inflammation (12 papers), Cellular Mechanics and Interactions (10 papers), Barrier Structure and Function Studies (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Inflammatory Bowel Disease (8 papers), Amoebic Infections and Treatments (7 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Immunology and Allergy (281 citations), Immunology (709 citations) and Neurology (187 citations). Michael Schnoor has collaborated with scholars based in Mexico, Germany and United States. Frequent co-authors include Stefan Lorkowski, Klemens Rottner, Hilda Vargas‐Robles, Abigail Betanzos, Horst Robenek, Paul Cullen, David Troyer, Eduardo Vadillo, Alí Francisco Citalán‐Madrid and Theresia E. B. Stradal. Their work appears in journals such as Journal of Leukocyte Biology, Journal of Visualized Experiments, The Journal of Immunology, Tissue Barriers and Scientific Reports.

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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