Daniel R. Studelska

1.2k citations
32 papers · 982 · h-index 18

Impact in

  • Biophysics top 5%
    • Electron Spin Resonance Studies
    • Proteoglycans and glycosaminoglycans research

Papers in

    • Biochemical and Molecular Research 7
    • Glycosylation and Glycoproteins Research 3
    • Protein Structure and Dynamics 3
    • Advanced NMR Techniques and Applications 6

Daniel R. Studelska

31 papers receiving 943 citations

Peers

Daniel R. Studelska
Comparison fields: 5 of 102
  • Biophysics 81
  • Cell Biology 213
  • Spectroscopy 220
  • Behavioral Neuroscience 26
  • Molecular Biology 516
Replace Clay Bracken with:
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Daniel R. Studelska relative to Clay Bracken United States Clay Bracken's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel R. Studelska

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Studelska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Studelska. 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 Daniel R. Studelska. The network helps show where Daniel R. Studelska may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992161
2 199978
3 200269
4 199668
5 200264
6 199647
7 200546
8 197946
9 200541
10 199940
11 199238
12 201038
13 201028
14 198824
15 200422
16 200421
17 198920
18 199718
19 199916
20 200815

About Daniel R. Studelska

Daniel R. Studelska is a scholar working on Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience, Cell Biology and Social Psychology, having authored 32 papers that have together received 982 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (7 papers), Advanced NMR Techniques and Applications (6 papers), Neuroendocrine regulation and behavior (5 papers), Enzyme Structure and Function (4 papers), Glycosylation and Glycoproteins Research (3 papers), Electron Spin Resonance Studies (3 papers), Protein Structure and Dynamics (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Biophysics (81 citations), Cell Biology (213 citations), Spectroscopy (220 citations), Behavioral Neuroscience (26 citations) and Molecular Biology (516 citations). Daniel R. Studelska has collaborated with scholars based in United States, Germany and Nigeria. Frequent co-authors include Lynda M. McDowell, Jacob Schaefer, Kenneth J. Rodnick, David E. James, Lynette Cegelski, Robert O’Connor, Jan W. Slot, Hans J. Geuze, Anil Mehta and Linda Robinson. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Medicinal Chemistry, Progress in molecular biology and translational science and Journal of the American Chemical Society.

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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