Sheldon Park

34 papers receiving 1.4k citations

Peers

Sheldon Park
Comparison fields: 5 of 107
  • Structural Biology 28
  • Biophysics 93
  • Cell Biology 264
  • Molecular Biology 958
  • Radiology, Nuclear Medicine and Imaging 245
Replace Nobuyasu Koga with:
Nobuyasu Koga Japan
Steffen Frey Germany
Philippe Ringler Switzerland
John T. Ngo United States
Bartosz Różycki Poland
Kourosh Zolghadr Germany
Sander I. van Kasteren Netherlands
Ralph Wieneke Germany
Natalija Backmann Switzerland
Remco Sprangers Germany
Sheldon Park relative to Nobuyasu Koga Japan Nobuyasu Koga's profile →
Citations per field
00.5×1.6×
Nobuyasu Koga · 1×
Citations per year

Countries citing papers authored by Sheldon Park

Since Specialization
Citations

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

Fields of papers citing papers by Sheldon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013351
2 2020155
3 2016115
4 2012101
5 200593
6 200075
7 200466
8 201760
9 200854
10 201153
11 200639
12 201335
13 201431
14 201923
15 200819
16 200419
17 201813
18 200513
19 200913
20 201213

About Sheldon Park

Sheldon Park is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Organic Chemistry and Materials Chemistry, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Biotin and Related Studies (12 papers), Protein Structure and Dynamics (7 papers), Click Chemistry and Applications (7 papers), Enzyme Structure and Function (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Molecular Junctions and Nanostructures (4 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Structural Biology (28 citations), Biophysics (93 citations), Cell Biology (264 citations), Molecular Biology (958 citations) and Radiology, Nuclear Medicine and Imaging (245 citations). Sheldon Park has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Daniel Demonte, Christopher M. Dundas, Jeffery G. Saven, Kok Hong Lim, Heng Huang, Arnd Pralle, Gregory L. Verdine, Motonari Uesugi, Sriram Neelamegham and Eric T. Boder. Their work appears in journals such as Applied Microbiology and Biotechnology, Proteins Structure Function and Bioinformatics, Biotechnology and Bioengineering, Nature Communications and eLife.

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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