Poorva Ghosh

508 citations
8 papers · 339 · h-index 6

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation

Papers in

Poorva Ghosh

8 papers receiving 335 citations

Peers

Poorva Ghosh
Comparison fields: 5 of 67
  • Cancer Research 128
  • Molecular Biology 222
  • Pulmonary and Respiratory Medicine 60
  • Oncology 48
  • Biomedical Engineering 57
Replace Ding Wang with:
Ding Wang China
Ruixin Wang China
Jiabin Yang China
Runzhou Zhuang China
Yuwen Xue China
Katarzyna J. Nytko Switzerland
Vittoria Raimondi Italy
Lexiang Zeng China
Ke Hao China
Li Tan China
Poorva Ghosh relative to Ding Wang China Ding Wang's profile →
Citations per field
00.5×1.5×
Ding Wang · 1×
Citations per year

Countries citing papers authored by Poorva Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Poorva Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Poorva Ghosh, 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 Ghosh Line = papers co-authored together Poorva Ghosh links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2020188
2 201965
3
Antiproliferative and antimetastatic effects of gossypol on Dunning prostate cell-bearing Copenhagen rats.
199326
4 201726
5 201920
6 202110
7 20243
8 20221

About Poorva Ghosh

Poorva Ghosh is a scholar working on Molecular Biology, Cancer Research, Genetics, Biomedical Engineering and Pathology and Forensic Medicine, having authored 8 papers that have together received 339 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Nanoplatforms for cancer theranostics (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Protist diversity and phylogeny (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Hedgehog Signaling Pathway Studies (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Cancer Research (128 citations), Molecular Biology (222 citations), Pulmonary and Respiratory Medicine (60 citations), Oncology (48 citations) and Biomedical Engineering (57 citations). Poorva Ghosh has collaborated with scholars based in United States, Ethiopia and China. Frequent co-authors include Zhang Li, Sanchareeka Dey, Chantal Vidal, Sarada Preeta Kalainayakan, Tianyuan Wang, Robert W. Brueggemeier, Yi‐Chia Lin, Ralph P. Mason, Maoping Li and Heling Zhou. Their work appears in journals such as Molecular Cancer Therapeutics, Scientific Reports, Oncotarget, International Journal of Molecular Sciences and Cancer Research.

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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