Aleksandra Gruslova

556 citations
31 papers · 321 indexed · h-index 10
Topics
Cancer, Hypoxia, and Metabolism (6 papers)Glioma Diagnosis and Treatment (5 papers)Neuroscience and Neural Engineering (4 papers)

In The Last Decade

Aleksandra Gruslova

28 papers receiving 310 citations

Peers

Aleksandra Gruslova
Comparison fields: 5 of 82
  • Molecular Biology 114
  • Biomedical Engineering 91
  • Cancer Research 67
  • Genetics 47
  • Genetics 42
Replace Boris Dasen with:
Boris Dasen Switzerland
G. Praveen Raju United States
Vittoria Ionta Italy
Daniela Padula Germany
Ilya Gubskiy Russia
Ienglam Lei United States
Xinjun He United States
Theresa M. Curtis United States
Patrícia Albuquerque Portugal
Karl Rouger France
Aleksandra Gruslova relative to Boris Dasen Switzerland Boris Dasen's profile →
Citations per field
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Boris Dasen · 1×
Citations per year

Countries citing papers authored by Aleksandra Gruslova

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Gruslova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandra Gruslova

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra Gruslova. A scholar is included among the top collaborators of Aleksandra Gruslova 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 Aleksandra Gruslova. Aleksandra Gruslova 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 1
2 0
3 5
4 1
5 3
6 4
7 2
8 1
9 36
10 35
11 1
12 5
13 29
14 62
15 19
16 1
17 1
18 1
19 1
20 27

About Aleksandra Gruslova

Aleksandra Gruslova is a scholar working on Genetics, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 321 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Glioma Diagnosis and Treatment (5 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cancer Research (67 citations), Genetics (47 citations) and Physiology (14 citations). Aleksandra Gruslova has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Andrew Brenner, Marc D. Feldman, Iurii Semenov, Bin Wang, David Cavazos, Gangadhara R. Sareddy, Suryavathi Viswanadhapalli, Ratna K. Vadlamudi, Anders Ström and Zi Chen. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and Analytical Chemistry.

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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