Anna Kashina

4.9k citations
93 papers · 3.6k indexed · h-index 34

Impact in

    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing

Papers in

    • Microtubule and mitosis dynamics 14
    • Cellular Mechanics and Interactions 11
    • Peptidase Inhibition and Analysis 34

Anna Kashina

89 papers receiving 3.6k citations

Peers

Anna Kashina
Comparison fields: 5 of 125
  • Cell Biology 1.0k
  • Molecular Biology 2.7k
  • Oncology 828
  • Cancer Research 322
  • Biophysics 118
Replace Odile Filhol with:
Odile Filhol France
Jonas Jarvius Sweden
Eugen Kerkhoff Germany
Shuya Fukai Japan
Jan Gettemans Belgium
Kiyoko Fukami Japan
Brian A. Pollok United States
B. Ewa Snaar‐Jagalska Netherlands
Timothy S. Gomez United States
Laura Trinkle‐Mulcahy Canada
Anna Kashina relative to Odile Filhol France Odile Filhol's profile →
Citations per field
00.5×
Odile Filhol · 1×
Citations per year

Countries citing papers authored by Anna Kashina

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kashina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20234
3 202212
4 20228
5 20222
6 202014
7 201731
8 201527
9 20153
10 201463
11 2013202
12 201238
13 2012173
14 2010155
15 201074
16 200944
17 2006214
18 200441
19 200396
20 1997115

About Anna Kashina

Anna Kashina is a scholar working on Cell Biology, Oncology, Molecular Biology, Cancer Research and Immunology and Allergy, having authored 93 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (46 papers), Peptidase Inhibition and Analysis (34 papers), Cancer-related gene regulation (30 papers), RNA modifications and cancer (20 papers), Microtubule and mitosis dynamics (14 papers), Cellular Mechanics and Interactions (11 papers), Cancer, Hypoxia, and Metabolism (10 papers) and Photosynthetic Processes and Mechanisms (7 papers). The work is most often cited by research in Cell Biology (1.0k citations), Molecular Biology (2.7k citations), Oncology (828 citations), Cancer Research (322 citations) and Biophysics (118 citations). Anna Kashina has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Sougata Saha, Svetlana A. Shabalina, Satoshi Kurosaka, Vladimir Rodionov, John R. Yates, Jonathan R. Terman, Yong Tae Kwon, Alexander Varshavsky, Fangliang Zhang and Catherine C. L. Wong. Their work appears in journals such as Scientific Reports, Frontiers in Cell and Developmental Biology, Science, Current Biology and Molecular Biology of the Cell.

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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