Assia Shisheva

5.3k citations
93 papers · 4.3k indexed · h-index 41
  • Physiology top 0.2%
    • Calcium signaling and nucleotide metabolism 10
  • Cell Biology top 0.2%
    • Cellular transport and secretion 50
    • Endoplasmic Reticulum Stress and Disease 9
    • Metabolism, Diabetes, and Cancer 15
    • Protein Kinase Regulation and GTPase Signaling 9
    • Ubiquitin and proteasome pathways 9
    • Vanadium and Halogenation Chemistry 7
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism 10
    • Pancreatic function and diabetes 24

Assia Shisheva

93 papers receiving 4.2k citations

Peers

Assia Shisheva
Comparison fields: 5 of 102
  • Physiology 759
  • Cell Biology 2.2k
  • Molecular Biology 2.3k
  • Inorganic Chemistry 450
  • Physiology 672
Replace Tohru Kamata with:
Tohru Kamata Japan
Marc Fransen Belgium
Du Feng China
Satoshi Yasuda Japan
Ajay Rana United States
Kotaro Hama Japan
Maria Høyer-Hansen Denmark
Dionisia P. Sideris Greece
Jessie Yanxiang Guo United States
Olivier Cuvillier France
Assia Shisheva relative to Tohru Kamata Japan Tohru Kamata's profile →
Citations per field
00.5×10.8×
Tohru Kamata · 1×
Citations per year

Countries citing papers authored by Assia Shisheva

Since Specialization
Citations

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

Fields of papers citing papers by Assia Shisheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201617
2 201524
3 201326
4 201326
5 201330
6 2011115
7 201039
8 200935
9 200838
10 200861
11 2008133
12 2007149
13 200747
14 2004129
15 200354
16 20015
17 200013
18 199993
19 199423
20 199340

About Assia Shisheva

Assia Shisheva is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 93 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (50 papers), Pancreatic function and diabetes (24 papers), Metabolism, Diabetes, and Cancer (15 papers), Calcium signaling and nucleotide metabolism (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Ubiquitin and proteasome pathways (9 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and Vanadium and Halogenation Chemistry (7 papers). The work is most often cited by research in Physiology (759 citations), Cell Biology (2.2k citations) and Molecular Biology (2.3k citations). Assia Shisheva has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Diego Sbrissa, Ognian C. Ikonomov, Yoram Shechter, Michael Czech, Dov Gefel, Takeshi Ijuin, Tadaomi Takenawa, Thomas C. Südhof, Sreenivasa R. Chinni and Jana Straková. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Neuroscience.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026