Shabunin Av
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.5%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 21
- Oncology 35
- Pancreatic and Hepatic Oncology Research 22
- Cancer-related Molecular Pathways 5
- Colorectal Cancer Surgical Treatments 5
- Co-authors
- Mikhail Mikhailovich Tavobilov (28 shared papers)Alexey Karpov (21 shared papers)Serghei Covanţev (3 shared papers)Airazat М. Kazaryan (1 shared paper)Oxana V. Paklina (6 shared papers)A. V. Vardanyan (2 shared papers)Eric Rytkin (1 shared paper)Karin Badavievich Mirzaev (1 shared paper)
- Journals
- Cell (10 papers)Cell Reports (10 papers)Cancer Cell (5 papers)Cell Systems (3 papers)HPB (2 papers)
- Partner nations
- RussiaUnited StatesUnited Kingdom
In The Last Decade
Shabunin Av
71 papers receiving 20.5k citations
Shabunin Av's Hit Papers
Peers
Comparison fields: 5 of 148
- Cancer Research 6.8k
- Oncology 5.5k
- Molecular Biology 10.8k
- Pulmonary and Respiratory Medicine 3.6k
- Immunology 1.7k
Countries citing papers authored by Shabunin Av
This map shows the geographic impact of Shabunin Av'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 Shabunin Av with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shabunin Av more than expected).
Fields of papers citing papers by Shabunin Av
This network shows the impact of papers produced by Shabunin Av. 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 Shabunin Av. The network helps show where Shabunin Av may publish in the future.
Co-authors
The 22 scholars most cited alongside Shabunin Av, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 2 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 3 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 4 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 5 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 6 | Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2017 | 1559 |
| 7 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 8 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 9 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 10 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
| 11 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 12 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 13 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 456 |
| 14 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 15 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 16 | Proteogenomic characterization of pancreatic ductal adenocarcinoma Hit paper breakdown → | 2021 | 399 |
| 17 | 2018 | 392 | |
| 18 | Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer Hit paper breakdown → | 2018 | 372 |
| 19 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 372 |
| 20 | 2018 | 339 |
About Shabunin Av
Shabunin Av is a scholar working on Cancer Research, Oncology, Surgery, Pulmonary and Respiratory Medicine and Hepatology, having authored 100 papers that have together received 20.7k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (22 papers), Cancer Genomics and Diagnostics (21 papers), Pancreatitis Pathology and Treatment (12 papers), Gallbladder and Bile Duct Disorders (9 papers), Organ Transplantation Techniques and Outcomes (6 papers), RNA modifications and cancer (5 papers), Cancer-related Molecular Pathways (5 papers) and Colorectal Cancer Surgical Treatments (5 papers). The work is most often cited by research in Cancer Research (6.8k citations), Oncology (5.5k citations), Molecular Biology (10.8k citations), Pulmonary and Respiratory Medicine (3.6k citations) and Immunology (1.7k citations). Shabunin Av has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include Mikhail Mikhailovich Tavobilov, Alexey Karpov, Serghei Covanţev, Airazat М. Kazaryan, Oxana V. Paklina, A. V. Vardanyan, Eric Rytkin, Karin Badavievich Mirzaev, Irina Vladimirovna Bure and Denis A. Andreev. Their work appears in journals such as Cell, Cell Reports, Cancer Cell, Cell Systems and HPB.
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.