Poorva Sandlesh

477 citations
10 papers · 263 · h-index 8

Impact in

    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • Ubiquitin and proteasome pathways

Papers in

    • Genomics and Chromatin Dynamics 7
    • RNA Research and Splicing 3
    • DNA Repair Mechanisms 3
    • Epigenetics and DNA Methylation 2
    • Extracellular vesicles in disease 2
    • RNA modifications and cancer 2
    • Glioma Diagnosis and Treatment 3

Poorva Sandlesh

10 papers receiving 261 citations

Peers

Poorva Sandlesh
Comparison fields: 5 of 46
  • Computational Mathematics 2
  • Molecular Biology 216
  • Genetics 24
  • Cancer Research 28
  • Oncology 35
Replace Samaan Samaan with:
Samaan Samaan France
Kärt Tomberg United States
Laura Wiehle Germany
Chengchen Zhao China
Carolin Kolb Germany
Jingyi Li China
Rita Danesi Italy
Ashley B. Sjolund United States
Andrew Nickless United States
Christiane Batz Germany
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Citations per field
00.5×3.5×
Samaan Samaan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Poorva Sandlesh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Poorva Sandlesh Line = papers co-authored together Poorva Sandlesh links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201891
2 201655
3 201831
4 202124
5 201819
6 202114
7 202013
8 20229
9 20225
10 20212

About Poorva Sandlesh

Poorva Sandlesh is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 10 papers that have together received 263 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (3 papers), DNA Repair Mechanisms (3 papers), Glioma Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (2 papers), Ferroptosis and cancer prognosis (2 papers), Extracellular vesicles in disease (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Computational Mathematics (2 citations), Molecular Biology (216 citations), Genetics (24 citations), Cancer Research (28 citations) and Oncology (35 citations). Poorva Sandlesh has collaborated with scholars based in United States, Russia and Philippines. Frequent co-authors include Katerina V. Gurova, Han-Wen Chang, Maria E. Valieva, Vasily M. Studitsky, Alfiya Safina, George R. Stark, Jeremy N. Rich, Masahiro Hitomi, Daniel J. Silver and Justin D. Lathia. Their work appears in journals such as iScience, World Neurosurgery, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Cell Reports and Journal of Neuro-Oncology.

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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