Ganna Shevchenko

963 citations
32 papers · 658 indexed · h-index 16
Topics
Advanced Proteomics Techniques and Applications (10 papers)Metabolomics and Mass Spectrometry Studies (8 papers)Alzheimer's disease research and treatments (6 papers)

In The Last Decade

Ganna Shevchenko

31 papers receiving 650 citations

Peers

Ganna Shevchenko
Comparison fields: 5 of 98
  • Molecular Biology 396
  • Physiology 209
  • Spectroscopy 133
  • Neurology 111
  • Cell Biology 58
Replace Antonio Núñez Galindo with:
Antonio Núñez Galindo Switzerland
Marko Košiček Croatia
Epolia Ramadan United States
Aidan McGinnis United States
Khalil Mallah United States
Roberta Felici Italy
Jonathan Thévenet Switzerland
H. H. Berlet Germany
Claire Tournois France
Yunqing Ma China
Ganna Shevchenko relative to Antonio Núñez Galindo Switzerland Antonio Núñez Galindo's profile →
Citations per field
00.5×2.8×
Antonio Núñez Galindo · 1×
Citations per year

Countries citing papers authored by Ganna Shevchenko

Since Specialization
Citations

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

Fields of papers citing papers by Ganna Shevchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganna Shevchenko

This figure shows the co-authorship network connecting the top 25 collaborators of Ganna Shevchenko. A scholar is included among the top collaborators of Ganna Shevchenko 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 Ganna Shevchenko. Ganna Shevchenko 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 7
3 7
4 10
5 11
6 11
7 18
8 33
9 2
10 37
11 6
12 67
13 30
14 83
15 6
16 26
17 35
18 20
19 23
20 14

About Ganna Shevchenko

Ganna Shevchenko is a scholar working on Spectroscopy, Neurology and Molecular Biology, having authored 32 papers that have together received 658 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (8 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Biological Psychiatry (21 citations), Spectroscopy (133 citations) and Physiology (209 citations). Ganna Shevchenko has collaborated with scholars based in Sweden, Ukraine and United States. Frequent co-authors include Jonas Bergquist, Magnus Wetterhall, Kim Kultima, Martin Ingelsson, Lars Lannfelt, Payam Emami Khoonsari, Konstantin A. Artemenko, Anna Erlandsson, Peter Nilsson and Marcus Sjödin. Their work appears in journals such as PLoS ONE, Scientific Reports and Arteriosclerosis Thrombosis and Vascular 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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