Gatha Thacker

514 total citations
20 papers, 367 citations indexed

About

Gatha Thacker is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Gatha Thacker has authored 20 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Hematology and 5 papers in Oncology. Recurrent topics in Gatha Thacker's work include Ubiquitin and proteasome pathways (7 papers), Acute Myeloid Leukemia Research (6 papers) and Protein Degradation and Inhibitors (3 papers). Gatha Thacker is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Acute Myeloid Leukemia Research (6 papers) and Protein Degradation and Inhibitors (3 papers). Gatha Thacker collaborates with scholars based in India and United States. Gatha Thacker's co-authors include Arun Kumar Trivedi, Sabyasachi Sanyal, Akshay Sharma, Anil Singh, Yogesh Kumar, Naibedya Chattopadhyay, Ajeya Nandi, Snahlata Singh, Rumela Chakrabarti and Tripti Mishra and has published in prestigious journals such as Nature Cell Biology, Cancer Research and Free Radical Biology and Medicine.

In The Last Decade

Gatha Thacker

19 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gatha Thacker India 12 223 138 84 79 32 20 367
Bingmu Fang China 9 136 0.6× 141 1.0× 98 1.2× 83 1.1× 39 1.2× 20 339
Brianne M. Cruickshank Canada 9 233 1.0× 132 1.0× 56 0.7× 162 2.1× 19 0.6× 13 371
Yuyang Tian China 8 128 0.6× 118 0.9× 45 0.5× 83 1.1× 28 0.9× 20 302
Yolla Haibe Lebanon 8 196 0.9× 155 1.1× 49 0.6× 106 1.3× 8 0.3× 15 404
Bahareh Kashani Iran 10 159 0.7× 90 0.7× 165 2.0× 85 1.1× 10 0.3× 22 386
Juan M. Barajas United States 8 227 1.0× 69 0.5× 85 1.0× 165 2.1× 12 0.4× 15 374
Sen Zhang China 10 140 0.6× 62 0.4× 121 1.4× 40 0.5× 70 2.2× 33 364
Yalei Wen China 8 170 0.8× 97 0.7× 39 0.5× 40 0.5× 17 0.5× 16 283
Sabine Olivier Belgium 7 203 0.9× 94 0.7× 156 1.9× 91 1.2× 22 0.7× 7 423

Countries citing papers authored by Gatha Thacker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gatha Thacker

This figure shows the co-authorship network connecting the top 25 collaborators of Gatha Thacker. A scholar is included among the top collaborators of Gatha Thacker 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 Gatha Thacker. Gatha Thacker 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.
Singh, Anil Kumar, Gatha Thacker, Akshay Sharma, et al.. (2024). Nemo‐like kinase blocks myeloid differentiation by targeting tumor suppressor C/EBPα in AML. FEBS Journal. 291(20). 4539–4557.
2.
Thacker, Gatha, Ajeya Nandi, Snahlata Singh, et al.. (2023). Immature natural killer cells promote progression of triple-negative breast cancer. Science Translational Medicine. 15(686). eabl4414–eabl4414. 51 indexed citations
3.
Singh, Anil, et al.. (2023). Ormeloxifene, a nonsteroidal antifertility drug promotes megakaryocyte differentiation in leukemia cell line K562. Cell Biology International. 47(7). 1247–1258. 3 indexed citations
4.
Nandi, Ajeya, Anupma Nayak, Tsun Ki Jerrick To, et al.. (2022). Dll1-Mediated Notch Signaling Drives Tumor Cell Cross-talk with Cancer-Associated Fibroblasts to Promote Radioresistance in Breast Cancer. Cancer Research. 82(20). 3718–3733. 27 indexed citations
5.
Sharma, Akshay, et al.. (2022). SOX4-mediated FBW7 transcriptional upregulation confers Tamoxifen resistance in ER+ breast cancers via GATA3 downregulation. Life Sciences. 303. 120682–120682. 11 indexed citations
6.
7.
Thacker, Gatha, et al.. (2021). CDK2-instigates C/EBPα degradation through SKP2 in Acute myeloid leukemia. Medical Oncology. 38(6). 69–69. 13 indexed citations
8.
Singh, Snahlata, Sushil Kumar, Ajeya Nandi, et al.. (2021). Author Correction: Loss of ELF5–FBXW7 stabilizes IFNGR1 to promote the growth and metastasis of triple-negative breast cancer through interferon-γ signalling. Nature Cell Biology. 23(9). 1048–1048. 1 indexed citations
9.
Sharma, Akshay, et al.. (2021). Proteomic analysis of TGFβ‐induced A549 secretome identifies putative regulators of epithelial–mesenchymal transition. Biotechnology and Applied Biochemistry. 69(2). 442–450. 3 indexed citations
10.
Thacker, Gatha, et al.. (2020). E3 ligase SCFSKP2 ubiquitinates and degrades tumor suppressor C/EBPα in acute myeloid leukemia. Life Sciences. 257. 118041–118041. 17 indexed citations
11.
Singh, Snahlata, Sushil Kumar, Ajeya Nandi, et al.. (2020). Loss of ELF5–FBXW7 stabilizes IFNGR1 to promote the growth and metastasis of triple-negative breast cancer through interferon-γ signalling. Nature Cell Biology. 22(5). 591–602. 80 indexed citations
12.
Sharma, Akshay, et al.. (2020). Chebulinic acid inhibits MDA‐MB‐231 breast cancer metastasis and promotes cell death through down regulation of SOD1 and induction of autophagy. Cell Biology International. 44(12). 2553–2569. 17 indexed citations
13.
Thacker, Gatha, Akshay Sharma, Anil Singh, et al.. (2020). FBW7 Inhibits Myeloid Differentiation in Acute Myeloid Leukemia via GSK3-Dependent Ubiquitination of PU.1. Molecular Cancer Research. 19(2). 261–273. 23 indexed citations
14.
Sharma, Akshay, et al.. (2019). Nano‐LC based proteomic approach identifies that E6AP interacts with ENO1 and targets it for degradation in breast cancer cells. IUBMB Life. 71(12). 1896–1905. 5 indexed citations
15.
Thacker, Gatha, et al.. (2019). CDK2 destabilizes tumor suppressor C/EBPα expression through ubiquitin‐mediated proteasome degradation in acute myeloid leukemia. Journal of Cellular Biochemistry. 121(4). 2839–2850. 16 indexed citations
16.
Kumar, Yogesh, Gatha Thacker, Jitendra Kumar Kanaujiya, et al.. (2018). BMP signaling-driven osteogenesis is critically dependent on Prdx-1 expression-mediated maintenance of chondrocyte prehypetrophy. Free Radical Biology and Medicine. 118. 1–12. 18 indexed citations
17.
Kumar, Yogesh, Gatha Thacker, Isha Kapoor, et al.. (2017). E6AP inhibits G-CSFR turnover and functions by promoting its ubiquitin-dependent proteasome degradation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1864(10). 1545–1553. 4 indexed citations
18.
Mishra, Tripti, Yogesh Kumar, Gatha Thacker, et al.. (2017). Chebulinic Acid Isolated From the Fruits of Terminalia chebula Specifically Induces Apoptosis in Acute Myeloid Leukemia Cells. Phytotherapy Research. 31(12). 1849–1857. 23 indexed citations
19.
Thacker, Gatha, Yogesh Kumar, Mohd Parvez Khan, et al.. (2016). Skp2 inhibits osteogenesis by promoting ubiquitin–proteasome degradation of Runx2. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1863(4). 510–519. 39 indexed citations
20.
Kumar, Yogesh, Nidhi Shukla, Gatha Thacker, et al.. (2016). Ubiquitin Ligase, Fbw7, Targets CDX2 for Degradation via Two Phosphodegron Motifs in a GSK3β-Dependent Manner. Molecular Cancer Research. 14(11). 1097–1109. 12 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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