Carol Beth Post

13.7k citations
99 papers · 3.8k indexed · h-index 35

Impact in

  • Virology top 5%
    • Protein Structure and Dynamics
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms

Papers in

Carol Beth Post

97 papers receiving 3.7k citations

Peers

Carol Beth Post
Comparison fields: 5 of 137
  • Virology 208
  • Molecular Biology 2.1k
  • Infectious Diseases 561
  • Spectroscopy 385
  • Physical and Theoretical Chemistry 199
Replace Patricia C Weber with:
Patricia C Weber United States
Pietro Roversi United Kingdom
Peter J. Bond Singapore
Gerald Zon United States
G.L. Taylor United Kingdom
Alexandre Urzhumtsev France
Per A. Bullough United Kingdom
Gijs A. van der Marel Netherlands
Marat Mustyakimov United States
Craig M. Ogata United States
Carol Beth Post relative to Patricia C Weber United States Patricia C Weber's profile →
Citations per field
00.5×1.6×
Patricia C Weber · 1×
Citations per year

Countries citing papers authored by Carol Beth Post

Since Specialization
Citations

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

Fields of papers citing papers by Carol Beth Post

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol Beth Post. 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 Carol Beth Post. The network helps show where Carol Beth Post may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20235
4 202311
5 20206
6 201915
7 201911
8 20187
9 201587
10 20127
11 200494
12 200219
13 199919
14 19967
15 199565
16 19943
17 19936
18 199033
19 198915
20 198921

About Carol Beth Post

Carol Beth Post is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Biophysics, having authored 99 papers that have together received 3.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (38 papers), Enzyme Structure and Function (22 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), RNA and protein synthesis mechanisms (12 papers), Spectroscopy and Quantum Chemical Studies (10 papers), DNA and Nucleic Acid Chemistry (8 papers), Advanced NMR Techniques and Applications (7 papers) and Bacteriophages and microbial interactions (7 papers). The work is most often cited by research in Virology (208 citations), Molecular Biology (2.1k citations), Infectious Diseases (561 citations), Spectroscopy (385 citations) and Physical and Theoretical Chemistry (199 citations). Carol Beth Post has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Bruno H. Zimm, Richard Kühn, Lixin Ma, Christopher T. Jones, Zhigang Zhou, Elif Özkırımlı, Martin Karplus, John W. Burgner, Donald K. Phelps and Robert L. Geahlen. Their work appears in journals such as Biochemistry, Journal of Chemical Theory and Computation, Proceedings of the National Academy of Sciences, Protein Science and Biopolymers.

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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