Maria Ivshina

1.1k citations
15 papers · 810 indexed · h-index 13
    • RNA Research and Splicing 11
    • RNA modifications and cancer 9
    • RNA and protein synthesis mechanisms 3
    • PI3K/AKT/mTOR signaling in cancer 2
    • 14-3-3 protein interactions 1
    • Protein Kinase Regulation and GTPase Signaling 1
    • Endoplasmic Reticulum Stress and Disease 2
    • Immune Response and Inflammation 2

Maria Ivshina

15 papers receiving 802 citations

Peers

Maria Ivshina
Comparison fields: 5 of 77
  • Molecular Biology 658
  • Cancer Research 142
  • Aging 14
  • Cell Biology 108
  • Genetics 118
Replace Kenji Kokura with:
Kenji Kokura Japan
Mathieu Quesnel-Vallières United States
T. Nagase Japan
Fernando J. Sallés United States
Neha Wali United Kingdom
Andrey Damianov United States
Go Shioi Japan
Amy N. Shore United States
Fatma O. Kok United States
Alexander S. Garrett United States
Maria Ivshina relative to Kenji Kokura Japan Kenji Kokura's profile →
Citations per field
00.5×1.5×1.8×
Kenji Kokura · 1×
Citations per year

Countries citing papers authored by Maria Ivshina

Since Specialization
Citations

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

Fields of papers citing papers by Maria Ivshina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20223
2 20191
3 201717
4 201639
5 201629
6 201519
7 201568
8 201428
9 2014167
10 201394
11 201246
12 200678
13 200477
14 200427
15 2003117

About Maria Ivshina

Maria Ivshina is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Neurology and Immunology, having authored 15 papers that have together received 810 indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), RNA modifications and cancer (9 papers), RNA and protein synthesis mechanisms (3 papers), Immune Response and Inflammation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), 14-3-3 protein interactions (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Molecular Biology (658 citations), Cancer Research (142 citations), Aging (14 citations), Cell Biology (108 citations) and Genetics (118 citations). Maria Ivshina has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Joel D. Richter, Paul Lasko, Stephen Doxsey, Anastassiia Vertii, Kentaro Nagaoka, Adri A.M. Thomas, Valentina M. Evdokimova, John W.B. Hershey, Elizaveta A. Kovrigina and Maxim Nekrasov. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Nature Medicine, Genes & Development and Glia.

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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