Alexander S. Baier

7 papers receiving 380 citations

Hit Papers

Yeast surface display platform for rapid discovery of con...20182026202020232018100200300

Peers

Alexander S. Baier
Comparison fields: 5 of 59
  • Molecular Biology 308
  • Radiology, Nuclear Medicine and Imaging 219
  • Biotechnology 36
  • Immunology 33
  • Ecology 28
Replace Sarah Triest with:
Sarah Triest Belgium
Monica Berrondo United States
Marcin Wegrecki United States
Katrin Schmidthals Germany
Lorenz Chatwell Germany
Ilona Nudelman United States
Avinash Gill United States
Mary Christie Australia
Philipp Bräuer United Kingdom
Charlotte Rimbault Denmark
Alexander S. Baier relative to Sarah Triest Belgium Sarah Triest's profile →
Citations per field
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Sarah Triest · 1×
Citations per year

Countries citing papers authored by Alexander S. Baier

Since Specialization
Citations

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

Fields of papers citing papers by Alexander S. Baier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander S. Baier. 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 Alexander S. Baier. The network helps show where Alexander S. Baier may publish in the future.

Co-authorship network of co-authors of Alexander S. Baier

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

All Works

7 of 7 papers shown
#WorkIndexed citations
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2 1
3 12
4 3
5 2
6 15
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Yeast surface display platform for rapid discovery of conformationally selective nanobodiesbreakdown →
348

About Alexander S. Baier

Alexander S. Baier is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 383 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Genomics and Chromatin Dynamics (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (219 citations), Structural Biology (9 citations) and Molecular Biology (308 citations). Alexander S. Baier has collaborated with scholars based in United States, Estonia and Denmark. Frequent co-authors include Andrew C. Kruse, Conor McMahon, Roberta Pascolutti, Marcin Wegrecki, Sarah C. Erlandson, Søren G. F. Rasmussen, Aaron M. Ring, Sanduo Zheng, Daniel Hilger and Aashish Manglik. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Methods in enzymology on CD-ROM/Methods in enzymology.

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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