Anna L. Kaysheva

1.4k citations
96 papers · 988 indexed · h-index 17
Topics
Advanced biosensing and bioanalysis techniques (16 papers)Enzyme Structure and Function (13 papers)Protein Structure and Dynamics (12 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences

In The Last Decade

Anna L. Kaysheva

92 papers receiving 962 citations

Peers

Anna L. Kaysheva
Comparison fields: 5 of 134
  • Molecular Biology 464
  • Biomedical Engineering 224
  • Immunology 90
  • Atomic and Molecular Physics, and Optics 81
  • Electrical and Electronic Engineering 79
Replace Kristina A. Malsagova with:
Kristina A. Malsagova Russia
Xinming Li China
Lihua Xie China
Ioannis Prassas Canada
Arthur T. Kopylov Russia
Christopher Lausted United States
Jeff O’Sullivan Ireland
Hohyun Kim South Korea
Xiaoxiao Zhang China
Jens Eckstein Switzerland
Anna L. Kaysheva relative to Kristina A. Malsagova Russia Kristina A. Malsagova's profile →
Citations per field
00.5×1.5×2.2×
Kristina A. Malsagova · 1×
Citations per year

Countries citing papers authored by Anna L. Kaysheva

Since Specialization
Citations

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

Fields of papers citing papers by Anna L. Kaysheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna L. Kaysheva

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 2
4 5
5 2
6 5
7 4
8 28
9 3
10 5
11 5
12 4
13 70
14 7
15 43
16 1
17 8
18 22
19
Proteomic analysis of serum proteins of children with autism
3
20 8

About Anna L. Kaysheva

Anna L. Kaysheva is a scholar working on Molecular Biology, Rehabilitation and Spectroscopy, having authored 96 papers that have together received 988 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), Enzyme Structure and Function (13 papers) and Protein Structure and Dynamics (12 papers). The work is most often cited by research in Molecular Biology (464 citations), Health Informatics (7 citations) and Biomedical Engineering (224 citations). Anna L. Kaysheva has collaborated with scholars based in Russia, Belarus and United Kingdom. Frequent co-authors include Kristina A. Malsagova, Arthur T. Kopylov, Alexander A. Stepanov, Alexander Izotov, Tatyana O. Pleshakova, Tatiana V. Butkova, Alexander I. Archakov, Yuri D. Ivanov, Vadim S. Ziborov and Ivan D. Shumov. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

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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