Yashodhara Dasgupta

584 total citations
8 papers, 202 citations indexed

About

Yashodhara Dasgupta is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Yashodhara Dasgupta has authored 8 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Hematology and 3 papers in Molecular Biology. Recurrent topics in Yashodhara Dasgupta's work include Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Acute Myeloid Leukemia Research (2 papers). Yashodhara Dasgupta is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Acute Myeloid Leukemia Research (2 papers). Yashodhara Dasgupta collaborates with scholars based in United States, Poland and United Kingdom. Yashodhara Dasgupta's co-authors include Tomasz Skórski, Margaret Nieborowska-Skorska, Katarzyna Piwocka, Paulina Podszywalow‐Bartnicka, Mariusz A. Wasik, Fabrice Fleury, Artur Słupianek, Monika Kusio-Kobiałka, Kamila Wolanin and Shuyue Ren and has published in prestigious journals such as Blood, Cancer Research and Cell Cycle.

In The Last Decade

Yashodhara Dasgupta

8 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yashodhara Dasgupta United States 6 133 75 70 56 17 8 202
B. Hilda Ye United States 3 73 0.5× 85 1.1× 31 0.4× 71 1.3× 21 1.2× 8 170
Corinna Albers Germany 7 92 0.7× 89 1.2× 25 0.4× 42 0.8× 9 0.5× 13 171
Monika Gothwal Germany 6 163 1.2× 62 0.8× 53 0.8× 61 1.1× 13 0.8× 8 244
Adele Capucci Italy 5 86 0.6× 62 0.8× 44 0.6× 49 0.9× 13 0.8× 8 167
Kathleen C. Rayeroux Australia 6 109 0.8× 109 1.5× 50 0.7× 91 1.6× 37 2.2× 10 224
Eugene Hwang United States 4 116 0.9× 77 1.0× 43 0.6× 55 1.0× 3 0.2× 6 191
Anna V. Senina United States 5 98 0.7× 33 0.4× 27 0.4× 45 0.8× 21 1.2× 13 157
Corina A. Schmid Switzerland 5 147 1.1× 50 0.7× 66 0.9× 57 1.0× 10 0.6× 6 237
Gaetanina Golino Switzerland 8 193 1.5× 50 0.7× 69 1.0× 23 0.4× 5 0.3× 16 245
Dorie A. Sher United States 4 114 0.9× 66 0.9× 53 0.8× 19 0.3× 6 0.4× 6 170

Countries citing papers authored by Yashodhara Dasgupta

Since Specialization
Citations

This map shows the geographic impact of Yashodhara Dasgupta'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 Yashodhara Dasgupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yashodhara Dasgupta more than expected).

Fields of papers citing papers by Yashodhara Dasgupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yashodhara Dasgupta. 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 Yashodhara Dasgupta. The network helps show where Yashodhara Dasgupta may publish in the future.

Co-authorship network of co-authors of Yashodhara Dasgupta

This figure shows the co-authorship network connecting the top 25 collaborators of Yashodhara Dasgupta. A scholar is included among the top collaborators of Yashodhara Dasgupta 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 Yashodhara Dasgupta. Yashodhara Dasgupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Maifrede, Silvia, Kayla Martin, Paulina Podszywalow‐Bartnicka, et al.. (2017). IGH/MYC Translocation Associates with BRCA2 Deficiency and Synthetic Lethality to PARP1 Inhibitors. Molecular Cancer Research. 15(8). 967–972. 19 indexed citations
2.
Nieborowska-Skorska, Margaret, Silvia Maifrede, Yashodhara Dasgupta, et al.. (2017). Ruxolitinib-induced defects in DNA repair cause sensitivity to PARP inhibitors in myeloproliferative neoplasms. Blood. 130(26). 2848–2859. 54 indexed citations
3.
Maifrede, Silvia, Kayla Martin, Paulina Podszywalow‐Bartnicka, et al.. (2016). IGH/MYC Translocation in Burkitt Lymphoma Is Associated with BRCA2 Deficiency and Synthetic Lethality By PARP1 Inhibitors. Blood. 128(22). 4111–4111. 1 indexed citations
4.
Dasgupta, Yashodhara, Mateusz Koptyra, Grażyna Hoser, et al.. (2016). Normal ABL1 is a tumor suppressor and therapeutic target in human and mouse leukemias expressing oncogenic ABL1 kinases. Blood. 127(17). 2131–2143. 32 indexed citations
5.
Podszywalow‐Bartnicka, Paulina, Monika Kusio-Kobiałka, Kamila Wolanin, et al.. (2014). Downregulation of BRCA1 protein in BCR-ABL1 leukemia cells depends on stress-triggered TIAR-mediated suppression of translation. Cell Cycle. 13(23). 3727–3741. 45 indexed citations
6.
Dasgupta, Yashodhara, Mateusz Koptyra, Margaret Nieborowska-Skorska, et al.. (2013). Normal ABL1 Is a Tumor Suppressor and Therapeutic Target In BCR-ABL1–positive Leukemias. Blood. 122(21). 1466–1466. 1 indexed citations
7.
Manrique, A.C. Virgili, Mateusz Koptyra, Yashodhara Dasgupta, et al.. (2011). Imatinib Sensitivity in BCR-ABL1–Positive Chronic Myeloid Leukemia Cells Is Regulated by the Remaining Normal ABL1 Allele. Cancer Research. 71(16). 5381–5386. 10 indexed citations
8.
Słupianek, Artur, Yashodhara Dasgupta, Shuyue Ren, et al.. (2011). Targeting RAD51 phosphotyrosine-315 to prevent unfaithful recombination repair in BCR-ABL1 leukemia. Blood. 118(4). 1062–1068. 40 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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