Olga T. Schubert

84 total papers · 4.2k total citations
28 papers, 1.8k citations indexed

About

Olga T. Schubert is a scholar working on Molecular Biology, Infectious Diseases and Spectroscopy. According to data from OpenAlex, Olga T. Schubert has authored 28 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Infectious Diseases and 8 papers in Spectroscopy. Recurrent topics in Olga T. Schubert's work include Tuberculosis Research and Epidemiology (9 papers), RNA and protein synthesis mechanisms (8 papers) and Advanced Proteomics Techniques and Applications (8 papers). Olga T. Schubert is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), RNA and protein synthesis mechanisms (8 papers) and Advanced Proteomics Techniques and Applications (8 papers). Olga T. Schubert collaborates with scholars based in Switzerland, United States and Germany. Olga T. Schubert's co-authors include Ruedi Aebersold, Ben C. Collins, George Rosenberger, Hannes Röst, Teresa Cortes, Ludovic Gillet, Douglas B. Young, Graham Rose, Kristine B. Arnvig and Iñaki Comas and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Olga T. Schubert

27 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Olga T. Schubert 1.2k 430 422 360 199 28 1.8k
Claire Delahunty 1.4k 1.1× 200 0.5× 291 0.7× 235 0.7× 103 0.5× 28 2.2k
Daniel R. Boutz 1.5k 1.3× 190 0.4× 231 0.5× 143 0.4× 244 1.2× 33 2.2k
Emanuele Alpi 1.6k 1.3× 153 0.4× 491 1.2× 164 0.5× 149 0.7× 14 2.3k
Ejvind Mørtz 993 0.8× 164 0.4× 537 1.3× 132 0.4× 105 0.5× 27 1.7k
Paul Ajuh 1.5k 1.2× 114 0.3× 164 0.4× 153 0.4× 125 0.6× 36 1.9k
Rafael Saavedra 904 0.7× 155 0.4× 173 0.4× 380 1.1× 218 1.1× 46 2.2k
Ajit S. Bhown 986 0.8× 158 0.4× 105 0.2× 257 0.7× 195 1.0× 56 2.0k
A. John 1.1k 0.9× 385 0.9× 59 0.1× 188 0.5× 381 1.9× 25 2.0k
David H. Perlman 953 0.8× 81 0.2× 469 1.1× 190 0.5× 62 0.3× 20 1.4k
Mercedes Pardo 1.5k 1.2× 261 0.6× 74 0.2× 194 0.5× 117 0.6× 41 2.0k

Countries citing papers authored by Olga T. Schubert

Since Specialization
Citations

This map shows the geographic impact of Olga T. Schubert'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 Olga T. Schubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga T. Schubert more than expected).

Fields of papers citing papers by Olga T. Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olga T. Schubert. 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 Olga T. Schubert. The network helps show where Olga T. Schubert may publish in the future.

Co-authorship network of co-authors of Olga T. Schubert

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

All Works

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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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