Andrei Goga
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Oncology top 1%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- MicroRNA in disease regulation 11
- Cancer, Hypoxia, and Metabolism 11
- Cancer Genomics and Diagnostics 9
- Oncology 36
- Cancer-related Molecular Pathways 12
- Co-authors
- Roman CamardaDaniel AfarJami McLaughlinDun YangJ. Michael BishopSanjeev BalakrishnanAlicia Y. ZhouOwen N. Witte
- Journals
- Journal of Clinical Oncology (13 papers)Proceedings of the National Academy of Sciences (7 papers)Cancer Research (6 papers)Nature Medicine (4 papers)Magnetic Resonance Imaging (3 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Andrei Goga
92 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 2.5k
- Oncology 2.1k
- Aging 124
- Molecular Biology 4.9k
- Hematology 745
Countries citing papers authored by Andrei Goga
This map shows the geographic impact of Andrei Goga'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 Andrei Goga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Goga more than expected).
Fields of papers citing papers by Andrei Goga
This network shows the impact of papers produced by Andrei Goga. 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 Andrei Goga. The network helps show where Andrei Goga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrei Goga, 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 | 2024 | 6 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 20 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 80 | |
| 6 | 2021 | 16 | |
| 7 | 2018 | 67 | |
| 8 | 2018 | 230 | |
| 9 | 2017 | 10 | |
| 10 | 2016 | 396 | |
| 11 | 2015 | 16 | |
| 12 | 2015 | 16 | |
| 13 | IRE1α Cleaves Select microRNAs During ER Stress to Derepress Translation of Proapoptotic Caspase-2 Hit paper breakdown → | 2012 | 532 |
| 14 | 2011 | 69 | |
| 15 | 2009 | 111 | |
| 16 | 2009 | 81 | |
| 17 | 2007 | 261 | |
| 18 | 2004 | 17 | |
| 19 | 1994 | 162 | |
| 20 | 1993 | 45 |
About Andrei Goga
Andrei Goga is a scholar working on Cancer Research, Oncology, Hematology, Molecular Biology and Genetics, having authored 94 papers that have together received 8.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (12 papers), MicroRNA in disease regulation (11 papers), Cancer, Hypoxia, and Metabolism (11 papers), Advanced Breast Cancer Therapies (10 papers), Cancer Genomics and Diagnostics (9 papers), Chronic Myeloid Leukemia Treatments (9 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Microtubule and mitosis dynamics (8 papers). The work is most often cited by research in Cancer Research (2.5k citations), Oncology (2.1k citations), Aging (124 citations), Molecular Biology (4.9k citations) and Hematology (745 citations). Andrei Goga has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Roman Camarda, Daniel Afar, Jami McLaughlin, Dun Yang, J. Michael Bishop, Sanjeev Balakrishnan, Alicia Y. Zhou, Owen N. Witte, Christopher C. Benz and Henok Eyob. Their work appears in journals such as Journal of Clinical Oncology, Proceedings of the National Academy of Sciences, Cancer Research, Nature Medicine and Magnetic Resonance Imaging.
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.