Mariya A. Pindrus

1.1k citations
9 papers · 892 indexed · 1 hit paper · h-index 8
Topics
Protein purification and stability (4 papers)Monoclonal and Polyclonal Antibodies Research (2 papers)Glycosylation and Glycoproteins Research (1 paper)
Partner nations
United StatesSwitzerland

In The Last Decade

Mariya A. Pindrus

9 papers receiving 876 citations

Hit Papers

Real-time shape approximation and fingerprinting of singl...20162026201920222016100200300

Peers

Mariya A. Pindrus
Comparison fields: 5 of 84
  • Biomedical Engineering 498
  • Molecular Biology 276
  • Biomaterials 276
  • Radiology, Nuclear Medicine and Imaging 202
  • Computational Mechanics 105
Replace Nikola Kojić with:
Nikola Kojić United States
Wen Lo Taiwan
Tamal Das India
Gregory M. Harbers United States
Joo H. Kang South Korea
Darren Yang United States
Orane Guillaume‐Gentil Switzerland
André A. Adams United States
Nicholas G. Welch Australia
François Huber Switzerland
Mariya A. Pindrus relative to Nikola Kojić United States Nikola Kojić's profile →
Citations per field
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Nikola Kojić · 1×
Citations per year

Countries citing papers authored by Mariya A. Pindrus

Since Specialization
Citations

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

Fields of papers citing papers by Mariya A. Pindrus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariya A. Pindrus. 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 Mariya A. Pindrus. The network helps show where Mariya A. Pindrus may publish in the future.

Co-authorship network of co-authors of Mariya A. Pindrus

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 31
2 8
3 10
4
Real-time shape approximation and fingerprinting of single proteins using a nanoporebreakdown →
371
5 60
6 5
7 329
8 39
9 39

About Mariya A. Pindrus

Mariya A. Pindrus is a scholar working on Radiology, Nuclear Medicine and Imaging, Physical and Theoretical Chemistry and Genetics, having authored 9 papers that have together received 892 indexed citations. Recurring topics across this work include Protein purification and stability (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Biomaterials (276 citations), Biomedical Engineering (498 citations) and Radiology, Nuclear Medicine and Imaging (202 citations). Mariya A. Pindrus has collaborated with scholars based in United States and Switzerland. Frequent co-authors include David L. Kaplan, Jeffrey K. Marchant, Brian D. Lawrence, Fiorenzo G. Omenetto, Devendra S. Kalonia, Ryan Rollings, Erik C. Yusko, Jared Houghtaling, Brandon R. Bruhn and David Sept. Their work appears in journals such as Nature Nanotechnology, Biomaterials and Pharmaceutical Research.

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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