Sebastian Schulz

6.6k total citations · 3 hit papers
57 papers, 2.5k citations indexed

About

Sebastian Schulz is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Sebastian Schulz has authored 57 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Infectious Diseases, 15 papers in Molecular Biology and 14 papers in Immunology. Recurrent topics in Sebastian Schulz's work include SARS-CoV-2 and COVID-19 Research (22 papers), COVID-19 Clinical Research Studies (15 papers) and SARS-CoV-2 detection and testing (9 papers). Sebastian Schulz is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (22 papers), COVID-19 Clinical Research Studies (15 papers) and SARS-CoV-2 detection and testing (9 papers). Sebastian Schulz collaborates with scholars based in Germany, United States and Australia. Sebastian Schulz's co-authors include Hans‐Martin Jäck, Markus Hoffmann, Stefan Pöhlmann, Luise Graichen, Amy Kempf, Martin Sebastian Winkler, Nadine Krüger, Inga Nehlmeier, Georg M. N. Behrens and Anna-Sophie Moldenhauer and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Sebastian Schulz

57 papers receiving 2.4k citations

Hit Papers

SARS-CoV-2 variants B.1.351 and P.1 escape from neutraliz... 2021 2026 2022 2024 2021 2021 2024 100 200 300 400 500

Peers

Sebastian Schulz
Comparison fields: 5 of 112
  • Infectious Diseases 1.5k
  • Molecular Biology 624
  • Immunology 344
  • Endocrinology, Diabetes and Metabolism 311
  • Surgery 301
Replace Jianying Liu with:
Jianying Liu China
Huihui Mou United States
Christine Korteweg China
Gerald Wirnsberger Austria
Xing Wu China
Martin Sebastian Winkler Germany
Jing Lu China
Vanessa Monteil Sweden
Pin Yü China
Jianying Liu China View profile →
Citations per field, relative to Sebastian Schulz
Sebastian Schulz · 1×
Citations per year, relative to Sebastian Schulz
Sebastian Schulz · 1×

Countries citing papers authored by Sebastian Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Schulz

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 2
4 3
5 9
6 2
7 1
8 162
9 29
10 56
11 5
12
SARS-CoV-2 variants B.1.351 and P.1 escape from neutralizing antibodies breakdown →
563
13 22
14 12
15 19
16 52
17 33
18 30
19 45
20 31

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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