Sandeep Potluri

949 total citations
12 papers, 312 citations indexed

About

Sandeep Potluri is a scholar working on Molecular Biology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Sandeep Potluri has authored 12 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Hematology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Sandeep Potluri's work include Acute Myeloid Leukemia Research (8 papers), Protein Degradation and Inhibitors (4 papers) and Genomics and Chromatin Dynamics (3 papers). Sandeep Potluri is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Protein Degradation and Inhibitors (4 papers) and Genomics and Chromatin Dynamics (3 papers). Sandeep Potluri collaborates with scholars based in United Kingdom, Netherlands and United States. Sandeep Potluri's co-authors include Martin J. Glennie, H.T. Claude Chan, Tim Illidge, Jamie Honeychurch, Mark S. Cragg, Waleed Alduaij, Stephen A. Beers, Sean H. Lim, Andrew Tutt and Eleanor J. Cheadle and has published in prestigious journals such as Nature Communications, Blood and Cell Reports.

In The Last Decade

Sandeep Potluri

11 papers receiving 307 citations

Peers

Sandeep Potluri
Margot Jak Netherlands
Márk Plander Hungary
Gabriele Prinz Germany
Davide Bagnara United States
Kerstin Willander Sweden
Aruna Gowda United States
Vânia Coelho United Kingdom
F Davi France
Dieuwertje M. Luijks Netherlands
Noelia Purroy Spain
Margot Jak Netherlands
Sandeep Potluri
Citations per year, relative to Sandeep Potluri Sandeep Potluri (= 1×) peers Margot Jak

Countries citing papers authored by Sandeep Potluri

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Potluri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Potluri

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

All Works

12 of 12 papers shown
1.
Coleman, Daniel, Peter Keane, Paulynn Suyin Chin, et al.. (2024). Pharmacological inhibition of RAS overcomes FLT3 inhibitor resistance in FLT3-ITD+ AML through AP-1 and RUNX1. iScience. 27(4). 109576–109576. 7 indexed citations
2.
Potluri, Sandeep, Peter Keane, Helen J. Blair, et al.. (2024). Leukemic stem cells activate lineage inappropriate signalling pathways to promote their growth. Nature Communications. 15(1). 1359–1359. 16 indexed citations
3.
Reed, Michelle A.C., Jennie Roberts, Sandeep Potluri, et al.. (2024). The glutamate/aspartate transporter EAAT1 is crucial for T-cell acute lymphoblastic leukemia proliferation and survival. Haematologica. 109(11). 3505–3519.
4.
Coleman, Daniel, Peter Keane, Paulynn Suyin Chin, et al.. (2023). Gene regulatory network analysis predicts cooperating transcription factor regulons required for FLT3-ITD+ AML growth. Cell Reports. 42(12). 113568–113568. 6 indexed citations
5.
Rout, Ashok K., Mark Jeeves, Elena González-Muñoz, et al.. (2022). Crosstalk between AML and stromal cells triggers acetate secretion through the metabolic rewiring of stromal cells. eLife. 11. 15 indexed citations
6.
Binder, Moritz, Ryan M. Carr, Terra L. Lasho, et al.. (2022). Oncogenic gene expression and epigenetic remodeling of cis-regulatory elements in ASXL1-mutant chronic myelomonocytic leukemia. Nature Communications. 13(1). 1434–1434. 14 indexed citations
7.
Adamo, Assunta, Paulynn Suyin Chin, Peter Keane, et al.. (2022). Identification and interrogation of the gene regulatory network of CEBPA-double mutant acute myeloid leukemia. Leukemia. 37(1). 102–112. 9 indexed citations
8.
Potluri, Sandeep, Salam A. Assi, Paulynn Suyin Chin, et al.. (2021). Isoform-specific and signaling-dependent propagation of acute myeloid leukemia by Wilms tumor 1. Cell Reports. 35(3). 109010–109010. 14 indexed citations
9.
Potluri, Sandeep, Salam A. Assi, Paulynn Suyin Chin, et al.. (2019). Isoform Specific Regulation of Acute Myeloid Leukemia Maintenance By Wilms Tumor 1. Blood. 134(Supplement_1). 1232–1232. 1 indexed citations
10.
Assi, Salam A., Maria Rosaria Imperato, Daniel J. Coleman, et al.. (2018). Subtype-specific regulatory network rewiring in acute myeloid leukemia. Experimental Hematology. 64. S48–S48. 1 indexed citations
11.
Alduaij, Waleed, Andrei Ivanov, Jamie Honeychurch, et al.. (2011). Novel type II anti-CD20 monoclonal antibody (GA101) evokes homotypic adhesion and actin-dependent, lysosome-mediated cell death in B-cell malignancies. Blood. 117(17). 4519–4529. 222 indexed citations
12.
Alduaij, Waleed, Sandeep Potluri, А. В. Иванов, et al.. (2009). New-Generation Anti-CD20 Monoclonal Antibody (GA101) Evokes Homotypic Adhesion and Actin-Dependent, Lysosome-Mediated Cell Death in B-Cell Lymphoma.. Blood. 114(22). 725–725. 7 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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