Г. З. Суфианова
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- Cerebrospinal fluid and hydrocephalus 4
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
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- Cardiac Ischemia and Reperfusion 4
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- Virus-based gene therapy research 3
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- Biochemical effects in animals 3
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- Acute Myocardial Infarction Research 3
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- Cerebrovascular and Carotid Artery Diseases 3
- Co-authors
- Albert SufianovЛ. Н. МасловА. V. MukhomedzyanovС. В. ПоповA BoshchenkoNikita S. VoronkovIlgiz GareevFeng Fu
- Journals
- SHILAP Revista de lepidopterología (2 papers)International Journal of Molecular Sciences (3 papers)Current Medicinal Chemistry (1 paper)
In The Last Decade
Г. З. Суфианова
31 papers receiving 321 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 83
- Cancer Research 51
- Pathology and Forensic Medicine 56
- Pediatrics, Perinatology and Child Health 60
- Anesthesiology and Pain Medicine 14
Countries citing papers authored by Г. З. Суфианова
This map shows the geographic impact of Г. З. Суфианова'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 Г. З. Суфианова with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Г. З. Суфианова more than expected).
Fields of papers citing papers by Г. З. Суфианова
This network shows the impact of papers produced by Г. З. Суфианова. 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 Г. З. Суфианова. The network helps show where Г. З. Суфианова may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Г. З. Суфианова, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 15 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 84 | |
| 18 | 2022 | 24 | |
| 19 | 2010 | 42 | |
| 20 | 2008 | 15 |
About Г. З. Суфианова
Г. З. Суфианова is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 323 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cerebrospinal fluid and hydrocephalus (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Virus-based gene therapy research (3 papers), Biochemical effects in animals (3 papers), Cancer-related molecular mechanisms research (3 papers), Acute Myocardial Infarction Research (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (83 citations), Cancer Research (51 citations) and Pathology and Forensic Medicine (56 citations). Г. З. Суфианова has collaborated with scholars based in Russia, China and India. Frequent co-authors include Albert Sufianov, Л. Н. Маслов, А. V. Mukhomedzyanov, С. В. Попов, A Boshchenko, Nikita S. Voronkov, Ilgiz Gareev, Feng Fu, Ozal Beylerli and Daming Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Current Medicinal Chemistry.
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.