Elena A. Matveeva

1.1k citations
29 papers · 888 indexed · h-index 18
Topics
Cellular transport and secretion (14 papers)Lipid Membrane Structure and Behavior (8 papers)RNA Research and Splicing (8 papers)

In The Last Decade

Elena A. Matveeva

29 papers receiving 882 citations

Peers

Elena A. Matveeva
Comparison fields: 5 of 81
  • Molecular Biology 675
  • Cell Biology 408
  • Cellular and Molecular Neuroscience 239
  • Oncology 98
  • Physiology 51
Replace Eszter Zavodszky with:
Eszter Zavodszky United Kingdom
Valentina A. Valova Australia
Veronika Reiterer Switzerland
Leise A. Berven Australia
Jennifer L. Seachrist Canada
Tomasz J. Prószyński Poland
James W. Connell United Kingdom
Daniela Stauffer Switzerland
Yukiko Nasu‐Nishimura Japan
Elena A. Matveeva relative to Eszter Zavodszky United Kingdom Eszter Zavodszky's profile →
Citations per field
00.5×1.6×
Eszter Zavodszky · 1×
Citations per year

Countries citing papers authored by Elena A. Matveeva

Since Specialization
Citations

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

Fields of papers citing papers by Elena A. Matveeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena A. Matveeva

This figure shows the co-authorship network connecting the top 25 collaborators of Elena A. Matveeva. A scholar is included among the top collaborators of Elena A. Matveeva 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 Elena A. Matveeva. Elena A. Matveeva 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 5
2 23
3 42
4 10
5 55
6 49
7 9
8 15
9 21
10 11
11 32
12 32
13 50
14 55
15 96
16 27
17 70
18 19
19 11
20 16

About Elena A. Matveeva

Elena A. Matveeva is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Physiology, having authored 29 papers that have together received 888 indexed citations. Recurring topics across this work include Cellular transport and secretion (14 papers), Lipid Membrane Structure and Behavior (8 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Cell Biology (408 citations), Cellular and Molecular Neuroscience (239 citations) and Molecular Biology (675 citations). Elena A. Matveeva has collaborated with scholars based in United States, Russia and Saudi Arabia. Frequent co-authors include Sidney W. Whiteheart, John T. Slevin, Thomas Vanaman, Alexander А. Minin, Ivan S. Chernoivanenko, Todd Schraw, Yvonne Fondufe‐Mittendorf, Ping He, Eric C. Rouchka and Mark von Zastrow. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Scientific Reports.

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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