Susan M. Baxter

568 total citations
18 papers, 455 citations indexed

About

Susan M. Baxter is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Susan M. Baxter has authored 18 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Genetics. Recurrent topics in Susan M. Baxter's work include DNA and Nucleic Acid Chemistry (3 papers), RNA and protein synthesis mechanisms (3 papers) and Machine Learning in Bioinformatics (2 papers). Susan M. Baxter is often cited by papers focused on DNA and Nucleic Acid Chemistry (3 papers), RNA and protein synthesis mechanisms (3 papers) and Machine Learning in Bioinformatics (2 papers). Susan M. Baxter collaborates with scholars based in United States. Susan M. Baxter's co-authors include Jacquelyn S. Fetrow, Stephanie J. Reisinger, Melanie Nelson, Jeffrey A. Speir, Stacy T. Knutson, Michael D. Forman, Stephen Cammer, Paul S. Masters, Christoph Hauer and Gary W. Ashley and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Susan M. Baxter

18 papers receiving 441 citations

Peers

Susan M. Baxter
Comparison fields: 5 of 80
  • Molecular Biology 361
  • Materials Chemistry 61
  • Cell Biology 53
  • Genetics 38
  • Spectroscopy 35
Replace David E. Konerding with:
David E. Konerding United States
Steven J. Rysavy United States
Olav Zimmermann Germany
Sergiy Avilov France
Lars Packschies Germany
Luc Canard France
Gert Vriend United Kingdom
Benjamin J. Stapley United Kingdom
Elisa Cilia Belgium
Guoying Qi United Kingdom
David E. Konerding United States View profile →
Citations per field, relative to Susan M. Baxter
Susan M. Baxter · 1×
Citations per year, relative to Susan M. Baxter
Susan M. Baxter · 1×

Countries citing papers authored by Susan M. Baxter

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Baxter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Baxter. 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 Susan M. Baxter. The network helps show where Susan M. Baxter may publish in the future.

Co-authorship network of co-authors of Susan M. Baxter

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 62
2 23
3 41
4 21
5 44
6 14
7 7
8
Sequence- and structure-based protein function prediction from genomic information.
17
9 12
10 13
11 30
12 55
13 38
14 7
15 10
16 27
17
Sequence-dependent oligonucleotide-target duplex stabilities: rules from empirical studies with a set of twenty-mers.
21
18 13

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026