Gatha Thacker
Impact in
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- Cancer-related Molecular Pathways
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
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- Ubiquitin and proteasome pathways 5
- Protein Degradation and Inhibitors 2
- Histone Deacetylase Inhibitors Research 2
- Bone Metabolism and Diseases 2
- TGF-β signaling in diseases 2
- RNA modifications and cancer 2
- Oncology 5
- Cancer Cells and Metastasis 2
- Co-authors
- Arun Kumar Trivedi (16 shared papers)Sabyasachi Sanyal (11 shared papers)Akshay Sharma (10 shared papers)Anil Singh (6 shared papers)Ajeya Nandi (4 shared papers)Yogesh Kumar (5 shared papers)Naibedya Chattopadhyay (5 shared papers)Snahlata Singh (3 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (2 papers)Nature Cell Biology (2 papers)Cell Biology International (2 papers)Molecular Cancer Research (2 papers)Life Sciences (2 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Gatha Thacker
19 papers receiving 375 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 73
- Oncology 129
- Immunology 78
- Molecular Biology 202
- Hematology 28
Countries citing papers authored by Gatha Thacker
This map shows the geographic impact of Gatha Thacker'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 Gatha Thacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gatha Thacker more than expected).
Fields of papers citing papers by Gatha Thacker
This network shows the impact of papers produced by Gatha Thacker. 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 Gatha Thacker. The network helps show where Gatha Thacker may publish in the future.
Co-authors
The 25 scholars most cited alongside Gatha Thacker, 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 | 2020 | 83 | |
| 2 | 2023 | 57 | |
| 3 | 2016 | 39 | |
| 4 | 2022 | 30 | |
| 5 | 2017 | 23 | |
| 6 | 2020 | 23 | |
| 7 | 2018 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2021 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2019 | 5 | |
| 15 | 2017 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2021 | 1 | |
| 20 | 2024 | 0 |
About Gatha Thacker
Gatha Thacker is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Immunology, having authored 20 papers that have together received 379 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Acute Myeloid Leukemia Research (5 papers), Protein Degradation and Inhibitors (2 papers), Cancer Cells and Metastasis (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Bone Metabolism and Diseases (2 papers), TGF-β signaling in diseases (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (73 citations), Oncology (129 citations), Immunology (78 citations), Molecular Biology (202 citations) and Hematology (28 citations). Gatha Thacker has collaborated with scholars based in India and United States. Frequent co-authors include Arun Kumar Trivedi, Sabyasachi Sanyal, Akshay Sharma, Anil Singh, Ajeya Nandi, Yogesh Kumar, Naibedya Chattopadhyay, Snahlata Singh, Rumela Chakrabarti and Sanjeev Gumber. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Nature Cell Biology, Cell Biology International, Molecular Cancer Research and Life Sciences.
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.