Elena Seranova

3.1k citations
7 papers · 395 · h-index 6

Impact in

  • Physiology top 5%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
  • Epidemiology top 10%
    • Autophagy in Disease and Therapy

Papers in

Elena Seranova

6 papers receiving 391 citations

Peers

Elena Seranova
Comparison fields: 5 of 71
  • Physiology 76
  • Epidemiology 251
  • Cell Biology 80
  • Endocrinology 22
  • Physiology 109
Replace Elena Marcassa with:
Elena Marcassa United Kingdom
Atsuko Minowa‐Nozawa Japan
Byeong-Won Kim South Korea
Mi‐Hee Jang South Korea
Kirsty M. Hooper United Kingdom
Ignacio Guerrero‐Ros United States
Kouichi Miyazawa Japan
Kaivon Assani United States
Corey N. Cunningham United States
Daniel Chauss United States
Elena Seranova relative to Elena Marcassa United Kingdom Elena Marcassa's profile →
Citations per field
00.5×
Elena Marcassa · 1×
Citations per year

Countries citing papers authored by Elena Seranova

Since Specialization
Citations

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

Fields of papers citing papers by Elena Seranova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Elena Seranova, 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 Elena Seranova Line = papers co-authored together Elena Seranova links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2018182
2 2017129
3 201937
4 201923
5 201914
6 202010
7 20250

About Elena Seranova

Elena Seranova is a scholar working on Epidemiology, Molecular Biology, Physiology, Pharmacology and Physiology, having authored 7 papers that have together received 395 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Calcium signaling and nucleotide metabolism (3 papers), Lysosomal Storage Disorders Research (2 papers), CRISPR and Genetic Engineering (2 papers), Cannabis and Cannabinoid Research (2 papers), Ocular Surface and Contact Lens (1 paper), Toxoplasma gondii Research Studies (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Physiology (76 citations), Epidemiology (251 citations), Cell Biology (80 citations), Endocrinology (22 citations) and Physiology (109 citations). Elena Seranova has collaborated with scholars based in United Kingdom, Brazil and India. Frequent co-authors include Sovan Sarkar, Dhiraj Kumar, Vartika Sharma, Surbhi Verma, Tatiana R. Rosenstock, Timothy Barrett, Malgorzata Zatyka, Richard I. Tuxworth, Carl Ward and Somya Vats. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Journal of Molecular Biology, Essays in Biochemistry, Stem Cell Reports and Methods in molecular 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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