Anna Prudova

2.8k citations
23 papers · 2.0k · h-index 18

Impact in

    • Protease and Inhibitor Mechanisms
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

    • Peptidase Inhibition and Analysis 9
    • Biochemical and Structural Characterization 2
    • Bioinformatics and Genomic Networks 2

Anna Prudova

23 papers receiving 2.0k citations

Peers

Anna Prudova
Comparison fields: 5 of 107
  • Cancer Research 476
  • Spectroscopy 520
  • Oncology 564
  • Immunology and Allergy 113
  • Biochemistry 122
Replace Philipp F. Lange with:
Philipp F. Lange Canada
Emmanuelle Liaudet‐Coopman France
Stig Linder Sweden
Deborah H. Lundgren United States
Nozomi Yamaguchi Japan
Sarojani Angal United Kingdom
Duncan L. Smith United Kingdom
Yan Tang China
Juhani Saarinen Finland
Harmjan R. Vos Netherlands
Anna Prudova relative to Philipp F. Lange Canada Philipp F. Lange's profile →
Citations per field
00.5×11.1×
Philipp F. Lange · 1×
Citations per year

Countries citing papers authored by Anna Prudova

Since Specialization
Citations

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

Fields of papers citing papers by Anna Prudova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010445
2 2011253
3 2010239
4 2006199
5 2015167
6 2008119
7 201394
8 201672
9 201063
10 202162
11 201449
12 200746
13 201743
14 200740
15 201626
16 201825
17 200524
18 201918
19 201816
20 20219

About Anna Prudova

Anna Prudova is a scholar working on Oncology, Molecular Biology, Cancer Research, Spectroscopy and Rheumatology, having authored 23 papers that have together received 2.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Protease and Inhibitor Mechanisms (8 papers), Advanced Proteomics Techniques and Applications (7 papers), Folate and B Vitamins Research (5 papers), Sulfur Compounds in Biology (3 papers), Biotin and Related Studies (2 papers), Biochemical and Structural Characterization (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Cancer Research (476 citations), Spectroscopy (520 citations), Oncology (564 citations), Immunology and Allergy (113 citations) and Biochemistry (122 citations). Anna Prudova has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Christopher M. Overall, Ulrich auf dem Keller, Georgina S. Butler, Alain Doucet, Jayachandran N. Kizhakkedathu, Oded Kleifeld, Leonard J. Foster, Amanda E. Starr, Oliver Schilling and Ruma Banerjee. Their work appears in journals such as Molecular & Cellular Proteomics, Cell Reports, Antioxidants and Redox Signaling, Cell and Matrix Biology.

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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