Inna Inashkina

1.0k total citations
35 papers, 697 citations indexed

About

Inna Inashkina is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Inna Inashkina has authored 35 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Genetics. Recurrent topics in Inna Inashkina's work include DNA Repair Mechanisms (5 papers), Mitochondrial Function and Pathology (4 papers) and Muscle Physiology and Disorders (3 papers). Inna Inashkina is often cited by papers focused on DNA Repair Mechanisms (5 papers), Mitochondrial Function and Pathology (4 papers) and Muscle Physiology and Disorders (3 papers). Inna Inashkina collaborates with scholars based in Latvia, United Kingdom and United States. Inna Inashkina's co-authors include Eriks Jankevics, Jekaterina Ērenpreisa, Kristīne Salmiņa, Andreas Kerstan, Friederike Berberich‐Siebelt, Andris Avots, Sergei Chuvpilo, Anda Huna, Cornelia Escher and Christian Fischer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and The Journal of Immunology.

In The Last Decade

Inna Inashkina

33 papers receiving 679 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Inna Inashkina Latvia 15 433 146 97 95 85 35 697
Arshad Ayyaz Canada 11 339 0.8× 212 1.5× 121 1.2× 85 0.9× 200 2.4× 14 768
Agnès Méreau France 16 832 1.9× 91 0.6× 78 0.8× 46 0.5× 78 0.9× 35 1.0k
Ana Talamillo Spain 15 352 0.8× 74 0.5× 122 1.3× 37 0.4× 41 0.5× 20 577
Marie‐Laëtitia Thézénas United Kingdom 15 318 0.7× 78 0.5× 135 1.4× 44 0.5× 56 0.7× 19 747
Michael J. Guertin United States 19 1.1k 2.6× 115 0.8× 141 1.5× 32 0.3× 107 1.3× 33 1.3k
Isabelle Fernandes France 17 653 1.5× 111 0.8× 248 2.6× 28 0.3× 128 1.5× 26 1.0k
Junling Jia China 14 903 2.1× 172 1.2× 121 1.2× 37 0.4× 130 1.5× 19 1.2k
Saverio Brogna United Kingdom 19 1.0k 2.4× 69 0.5× 116 1.2× 93 1.0× 34 0.4× 29 1.2k
Eva M. Fast United States 11 242 0.6× 64 0.4× 69 0.7× 281 3.0× 34 0.4× 16 724
Tsubasa Tanaka Japan 12 428 1.0× 194 1.3× 59 0.6× 88 0.9× 19 0.2× 20 783

Countries citing papers authored by Inna Inashkina

Since Specialization
Citations

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

Fields of papers citing papers by Inna Inashkina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Inashkina

This figure shows the co-authorship network connecting the top 25 collaborators of Inna Inashkina. A scholar is included among the top collaborators of Inna Inashkina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Inna Inashkina. Inna Inashkina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Mičule, Ieva, et al.. (2024). Altered Splicing of LAMP2 in a Multigenerational Family from Latvia Affected by Danon Disease. Medicina. 60(1). 99–99. 1 indexed citations
3.
Ērenpreisa, Jekaterina, et al.. (2024). Self-organisation of early stress response in the biology of cancer. Postępy Biochemii. 70(1). 33–38. 1 indexed citations
4.
Zayakin, Pawel, Marina Makrecka‐Kuka, Baiba Lāce, et al.. (2023). Impact of the m.13513G>A Variant on the Functions of the OXPHOS System and Cell Retrograde Signaling. Current Issues in Molecular Biology. 45(3). 1794–1809. 2 indexed citations
5.
Ērenpreisa, Jekaterina, Kristīne Salmiņa, Pawel Zayakin, et al.. (2023). The Price of Human Evolution: Cancer-Testis Antigens, the Decline in Male Fertility and the Increase in Cancer. International Journal of Molecular Sciences. 24(14). 11660–11660. 5 indexed citations
6.
Salmiņa, Kristīne, et al.. (2023). The Role of Mitotic Slippage in Creating a “Female Pregnancy-like System” in a Single Polyploid Giant Cancer Cell. International Journal of Molecular Sciences. 24(4). 3237–3237. 8 indexed citations
7.
Lāce, Baiba, Ieva Mičule, Jurģis Strautmanis, et al.. (2022). Overview of Neuromuscular Disorder Molecular Diagnostic Experience for the Population of Latvia. Neurology Genetics. 8(3). e685–e685. 5 indexed citations
8.
Salmiņa, Kristīne, Tālivaldis Freivalds, Pawel Zayakin, et al.. (2021). Differentiating cancer cells reveal early large-scale genome regulation by pericentric domains. Biophysical Journal. 120(4). 711–724. 22 indexed citations
9.
Mičule, Ieva, Nathan T. Wright, Volker Straub, et al.. (2020). Collagen VI-related limb-girdle syndrome caused by frequent mutation in COL6A3 gene with conflicting reports of pathogenicity. Neuromuscular Disorders. 30(6). 483–491. 4 indexed citations
10.
Mičule, Ieva, et al.. (2018). EAST/SeSAME syndrome: Review of the literature and introduction of four new Latvian patients. Clinical Genetics. 95(1). 63–78. 21 indexed citations
11.
Salmiņa, Kristīne, Anda Huna, Inna Inashkina, et al.. (2017). Nucleolar aggresomes mediate release of pericentric heterochromatin and nuclear destruction of genotoxically treated cancer cells. Nucleus. 8(2). 205–221. 16 indexed citations
12.
Burnytė, Birutė, Eriks Jankevics, Baiba Lāce, et al.. (2017). Complete mtDNA sequencing reveals mutations m.9185T>C and m.13513G>A in three patients with Leigh syndrome. Mitochondrial DNA Part A. 29(7). 1115–1120. 4 indexed citations
13.
Inashkina, Inna, Eriks Jankevics, Ieva Mičule, et al.. (2016). Robust genotyping tool for autosomal recessive type of limb-girdle muscular dystrophies. BMC Musculoskeletal Disorders. 17(1). 200–200. 8 indexed citations
14.
Huna, Anda, Kristīne Salmiņa, Jekaterina Ērenpreisa, et al.. (2015). Role of stress-activated OCT4A in the cell fate decisions of embryonal carcinoma cells treated with etoposide. Cell Cycle. 14(18). 2969–2984. 26 indexed citations
15.
Lāce, Baiba, et al.. (2013). Dupuytren's Contracture Cosegregation with Limb-Girdle Muscle Dystrophy. SHILAP Revista de lepidopterología. 2013. 1–3. 1 indexed citations
16.
Jackson, Thomas, Kristīne Salmiņa, Anda Huna, et al.. (2013). DNA damage causes TP53-dependent coupling of self-renewal and senescence pathways in embryonal carcinoma cells. Cell Cycle. 12(3). 430–441. 37 indexed citations
17.
Inashkina, Inna, et al.. (2008). Case–control study of patients with essential tremor in Latvia. European Journal of Neurology. 15(9). 988–990. 14 indexed citations
18.
Jankevics, Eriks, Inna Inashkina, Jan Lubiński, et al.. (2008). The 4154delA mutation carriers in the BRCA1 gene share a common ancestry. Familial Cancer. 8(1). 1–4. 10 indexed citations
19.
Chuvpilo, Sergei, Michael Zimmer, Andreas Kerstan, et al.. (1999). Alternative Polyadenylation Events Contribute to the Induction of NF-ATc in Effector T Cells. Immunity. 10(2). 261–269. 131 indexed citations
20.
Chuvpilo, Sergei, Andris Avots, Friederike Berberich‐Siebelt, et al.. (1999). Multiple NF-ATc Isoforms with Individual Transcriptional Properties Are Synthesized in T Lymphocytes. The Journal of Immunology. 162(12). 7294–7301. 78 indexed citations

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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