Thomas Kehrer

3.1k citations
10 papers · 375 · h-index 6

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 5
    • COVID-19 Clinical Research Studies 2
    • RNA Research and Splicing 2
    • Glycosylation and Glycoproteins Research 2

Thomas Kehrer

10 papers receiving 372 citations

Peers

Thomas Kehrer
Comparison fields: 5 of 61
  • Infectious Diseases 235
  • Animal Science and Zoology 48
  • Immunology 80
  • Molecular Biology 153
  • Computational Theory and Mathematics 35
Replace Yanxi Ji with:
Yanxi Ji China
Oded Danziger Israel
Thi Khanh Le France
Manuel Hayn Germany
Yanhua Wang United States
Yue Ma‐Lauer Germany
Adil Mohamed Canada
Wen Meng United States
Hasan Vatandaslar Switzerland
Gretel M. Torres United States
Thomas Kehrer relative to Yanxi Ji China Yanxi Ji's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas Kehrer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Kehrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Kehrer, 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 Thomas Kehrer Line = papers co-authored together Thomas Kehrer links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2021151
2 202180
3 202159
4 202043
5 202217
6 202110
7 20234
8 20214
9 19834
10
Biosynthesis of proteokeratan sulfate in the bovine cornea. 2) Isolation of subcellular membrane fragments from bovine cornea cells with keratan sulfate synthesizing activity.
19833

About Thomas Kehrer

Thomas Kehrer is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Organic Chemistry and Animal Science and Zoology, having authored 10 papers that have together received 375 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), interferon and immune responses (2 papers), Animal Virus Infections Studies (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Influenza Virus Research Studies (2 papers), RNA Research and Splicing (2 papers), Glycosylation and Glycoproteins Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (235 citations), Animal Science and Zoology (48 citations), Immunology (80 citations), Molecular Biology (153 citations) and Computational Theory and Mathematics (35 citations). Thomas Kehrer has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Adolfo Garcı́a-Sastre, Lisa Miorin, Christopher P. Ptak, Hualin Zhong, Ke Zhang, Zhijian J. Chen, Anil Kumar, Beatriz M. A. Fontoura, Tadashi Makio and Matthew A. Esparza. Their work appears in journals such as Molecular Therapy, Scientific Reports, Journal of Interferon & Cytokine Research, PLoS Pathogens and Clinical Chemistry and Laboratory Medicine (CCLM).

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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