Poorva Sandlesh

477 total citations
10 papers, 263 citations indexed

About

Poorva Sandlesh is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Poorva Sandlesh has authored 10 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Poorva Sandlesh's work include Genomics and Chromatin Dynamics (7 papers), DNA Repair Mechanisms (3 papers) and RNA Research and Splicing (3 papers). Poorva Sandlesh is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), DNA Repair Mechanisms (3 papers) and RNA Research and Splicing (3 papers). Poorva Sandlesh collaborates with scholars based in United States, Russia and Philippines. Poorva Sandlesh's co-authors include Katerina V. Gurova, Maria E. Valieva, Han-Wen Chang, Vasily M. Studitsky, Alfiya Safina, Jianmin Wang, George R. Stark, Masahiro Hitomi, Jeremy N. Rich and Josephine Kam Tai Dermawan and has published in prestigious journals such as PLoS ONE, Cancer Research and Cell Reports.

In The Last Decade

Poorva Sandlesh

10 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Poorva Sandlesh United States	8	216	35	28	25	24	10	263
Dipika Gupta United States	10	204 0.9×	61 1.7×	55 2.0×	10 0.4×	12 0.5×	14	275
Chengchen Zhao China	8	209 1.0×	29 0.8×	53 1.9×	19 0.8×	35 1.5×	19	260
Q. Zhang United States	5	117 0.5×	52 1.5×	33 1.2×	21 0.8×	5 0.2×	13	165
Anastasia Ardasheva United States	5	121 0.6×	28 0.8×	60 2.1×	16 0.6×	19 0.8×	9	203
Samaan Samaan France	5	310 1.4×	31 0.9×	73 2.6×	23 0.9×	14 0.6×	6	352
Kärt Tomberg United States	8	106 0.5×	15 0.4×	19 0.7×	50 2.0×	14 0.6×	12	196
Laura Wiehle Germany	5	240 1.1×	38 1.1×	23 0.8×	19 0.8×	9 0.4×	7	279
Xinghui Zhao China	8	194 0.9×	35 1.0×	33 1.2×	21 0.8×	22 0.9×	16	245
Colin A. Hammond Canada	9	201 0.9×	30 0.9×	37 1.3×	75 3.0×	16 0.7×	16	265
Zhenhua Zou China	5	373 1.7×	61 1.7×	44 1.6×	31 1.2×	8 0.3×	12	420

Countries citing papers authored by Poorva Sandlesh

Since Specialization

Citations

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

Fields of papers citing papers by Poorva Sandlesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poorva Sandlesh

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

All Works

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10 of 10 papers shown

Sandlesh, Poorva, Aimee Stablewski, Ilya Toshkov, et al.. (2022). FACT maintains nucleosomes during transcription and stem cell viability in adult mice. EMBO Reports. 23(4). e53684–e53684. 9 indexed citations

Agarwal, Prateek, et al.. (2022). Machine Learning Identification of Immunotherapy Targets in Low-Grade Glioma Using RNA Sequencing Expression Data. World Neurosurgery. 163. e349–e362. 5 indexed citations

Zhang, Xiaoran, et al.. (2021). History of atopy confers improved outcomes in IDH mutant and wildtype lower grade gliomas. Journal of Neuro-Oncology. 155(2). 133–141. 2 indexed citations

Futtner, Christopher R., Miroslav Hejna, Poorva Sandlesh, et al.. (2021). Epigenomic tensor predicts disease subtypes and reveals constrained tumor evolution. Cell Reports. 34(13). 108927–108927. 14 indexed citations

Ludwig, Nils, Aparna Rao, Poorva Sandlesh, et al.. (2021). Characterization of systemic immunosuppression by IDH mutant glioma small extracellular vesicles. Neuro-Oncology. 24(2). 197–209. 24 indexed citations

Sandlesh, Poorva, et al.. (2020). Prevention of Chromatin Destabilization by FACT Is Crucial for Malignant Transformation. iScience. 23(6). 101177–101177. 13 indexed citations

Gurova, Katerina V., Han-Wen Chang, Maria E. Valieva, Poorva Sandlesh, & Vasily M. Studitsky. (2018). Structure and function of the histone chaperone FACT – Resolving FACTual issues. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1861(9). 892–904. 91 indexed citations

Leonova, Katerina I., Alfiya Safina, Elimelech Nesher, et al.. (2018). TRAIN (Transcription of Repeats Activates INterferon) in response to chromatin destabilization induced by small molecules in mammalian cells. eLife. 7. 31 indexed citations

Sandlesh, Poorva, et al.. (2018). Uncovering the fine print of the CreERT2-LoxP system while generating a conditional knockout mouse model of Ssrp1 gene. PLoS ONE. 13(6). e0199785–e0199785. 19 indexed citations

10.

Dermawan, Josephine Kam Tai, Masahiro Hitomi, Daniel J. Silver, et al.. (2016). Pharmacological Targeting of the Histone Chaperone Complex FACT Preferentially Eliminates Glioblastoma Stem Cells and Prolongs Survival in Preclinical Models. Cancer Research. 76(8). 2432–2442. 55 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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