Larissa Savelyeva

2.5k citations
49 papers · 1.5k indexed · h-index 23

Impact in

  • Neurology top 5%
    • Neuroblastoma Research and Treatments
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

    • Neuroblastoma Research and Treatments 17
    • Genomic variations and chromosomal abnormalities 17
    • Genetics and Neurodevelopmental Disorders 12
    • Virus-based gene therapy research 7
    • BRCA gene mutations in cancer 6

Larissa Savelyeva

49 papers receiving 1.5k citations

Peers

Larissa Savelyeva
Comparison fields: 5 of 81
  • Neurology 382
  • Cancer Research 357
  • Genetics 461
  • Molecular Biology 1.0k
  • Immunology and Allergy 68
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Citations per field
00.5×4.9×
Gloria Balaban · 1×
Citations per year

Countries citing papers authored by Larissa Savelyeva

Since Specialization
Citations

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

Fields of papers citing papers by Larissa Savelyeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201352
2 201310
3 201213
4 2011128
5 200822
6 200716
7 200710
8 200718
9 200620
10 200640
11 200515
12 200418
13 200314
14 200218
15 200219
16 200186
17 200024
18 199717
19
Human homologue of a candidate for the Mom1 locus, the secretory type II phospholipase A2 (PLA2S-II), maps to 1p35-36.1/D1S199.
199524
20 19958

About Larissa Savelyeva

Larissa Savelyeva is a scholar working on Neurology, Genetics, Molecular Biology, Cancer Research and Cell Biology, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (17 papers), Genomic variations and chromosomal abnormalities (17 papers), Genetics and Neurodevelopmental Disorders (12 papers), DNA Repair Mechanisms (10 papers), Virus-based gene therapy research (7 papers), BRCA gene mutations in cancer (6 papers), Cancer-related Molecular Pathways (6 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Neurology (382 citations), Cancer Research (357 citations), Genetics (461 citations), Molecular Biology (1.0k citations) and Immunology and Allergy (68 citations). Larissa Savelyeva has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Manfred Schwab, Raffaella Corvi, M. Schwab, Manfred Schwab, Andreas Claas, Evgeny Sagulenko, Frank Westermann, Lukas C. Amler, Christian Praml and Volker Ehemann. Their work appears in journals such as Cancer Letters, Genes Chromosomes and Cancer, Human Molecular Genetics, European Journal of Cancer and Journal of Neuro-Oncology.

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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