Poonam Gera

695 total citations
32 papers, 326 citations indexed

About

Poonam Gera is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Poonam Gera has authored 32 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Poonam Gera's work include Cancer Research and Treatments (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers) and Cancer-related gene regulation (5 papers). Poonam Gera is often cited by papers focused on Cancer Research and Treatments (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers) and Cancer-related gene regulation (5 papers). Poonam Gera collaborates with scholars based in India, United States and Canada. Poonam Gera's co-authors include Sanjay Gupta, C. Murali Krishna, Sanket Shah, Aditi Sahu, Pankaj Chaturvedi, Sudhir Nair, Saurav Singh, Ajit Kumar Sharma, Akshat Malik and Manoj B. Mahimkar and has published in prestigious journals such as Cancer Research, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Poonam Gera

28 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Poonam Gera India 12 201 83 61 54 49 32 326
Yuhui Pan China 8 100 0.5× 30 0.4× 11 0.2× 47 0.9× 89 1.8× 23 246
Hugh Luk United States 5 123 0.6× 82 1.0× 62 1.0× 53 1.0× 39 0.8× 7 383
Saima Usman United Kingdom 6 170 0.8× 6 0.1× 3 0.0× 108 2.0× 82 1.7× 9 343
Gissela Borrego‐Soto Mexico 6 126 0.6× 13 0.2× 7 0.1× 48 0.9× 49 1.0× 14 316
Xixiong Kang China 10 311 1.5× 31 0.4× 20 0.3× 32 0.6× 234 4.8× 19 437
Christopher Shipp Germany 10 89 0.4× 13 0.2× 5 0.1× 103 1.9× 15 0.3× 20 317
John G. Muzic United States 7 93 0.5× 6 0.1× 2 0.0× 126 2.3× 28 0.6× 7 349
Peiyuan Tang China 6 86 0.4× 7 0.1× 5 0.1× 72 1.3× 24 0.5× 7 223
Lucía Trilla‐Fuertes Spain 11 118 0.6× 6 0.1× 1 0.0× 73 1.4× 75 1.5× 30 254
Zengbin Wang China 10 157 0.8× 12 0.1× 4 0.1× 62 1.1× 82 1.7× 22 272

Countries citing papers authored by Poonam Gera

Since Specialization
Citations

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

Fields of papers citing papers by Poonam Gera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Gera

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

All Works

20 of 20 papers shown
1.
Ferlita, Alessandro La, Mufaddal Kazi, Vikas Ostwal, et al.. (2025). Patient-Derived Organoids and Xenografts Uncover Therapeutic Vulnerabilities in Colorectal Signet Ring Cell Carcinomas. Clinical Cancer Research. 31(7). 1359–1373. 4 indexed citations
2.
Gera, Poonam, et al.. (2025). Engineered L-asparaginase variants with enhanced therapeutic properties to improve treatment of childhood acute lymphatic leukemia. Cancer Gene Therapy. 32(10). 1062–1075. 1 indexed citations
3.
Chaturvedi, Pankaj, et al.. (2025). Establishment and characterization of patient-derived tongue squamous cell carcinoma cell lines. Human Cell. 38(4). 102–102.
4.
Garg, Megha, Poonam Gera, Bhabani Mohanty, et al.. (2024). Implications of chronic moderate protein-deficiency malnutrition on doxorubicin pharmacokinetics and cardiotoxicity in early post-weaning stage. Life Sciences. 350. 122765–122765. 4 indexed citations
5.
Thorat, Rahul, et al.. (2024). Histone acetylation: a key determinant of acquired cisplatin resistance in cancer. Clinical Epigenetics. 16(1). 8–8. 7 indexed citations
6.
Gera, Poonam, et al.. (2024). Preclinical evaluation of engineered L-asparaginase variants to improve the treatment of Acute Lymphoblastic Leukemia. Translational Oncology. 43. 101909–101909. 8 indexed citations
8.
Kannan, Sadhana, Swapnil Rane, Neha Mittal, et al.. (2022). Prognostic and predictive roles of cancer stem cell markers in head and neck squamous cell carcinoma patients receiving chemoradiotherapy with or without nimotuzumab. British Journal of Cancer. 126(10). 1439–1449. 7 indexed citations
9.
Goda, Jayant Sastri, Bhabani Mohanty, Poonam Gera, et al.. (2022). Targeted nano-delivery of chemotherapy via intranasal route suppresses in vivo glioblastoma growth and prolongs survival in the intracranial mouse model. Drug Delivery and Translational Research. 13(2). 608–626. 27 indexed citations
10.
Shah, Sanket, et al.. (2021). Tumor-specific overexpression of histone gene, H3C14 in gastric cancer is mediated through EGFR-FOXC1 axis. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1864(4-5). 194703–194703. 14 indexed citations
11.
Shah, Sanket, et al.. (2021). RPS13, a potential universal reference gene for normalisation of gene expression in multiple human normal and cancer tissue samples. Molecular Biology Reports. 48(12). 7967–7974. 6 indexed citations
12.
Shah, Sanket, et al.. (2020). Elevated HDAC activity and altered histone phospho-acetylation confer acquired radio-resistant phenotype to breast cancer cells. Clinical Epigenetics. 12(1). 4–4. 46 indexed citations
13.
Shah, Sanket, et al.. (2020). SFRP1 in Skin Tumor Initiation and Cancer Stem Cell Regulation with Potential Implications in Epithelial Cancers. Stem Cell Reports. 14(2). 271–284. 20 indexed citations
14.
Pandey, Manish, Sadhana Kannan, Poonam Gera, et al.. (2020). Prognostic and predictive significance of nuclear HIF1α expression in locally advanced HNSCC patients treated with chemoradiation with or without nimotuzumab. British Journal of Cancer. 123(12). 1757–1766. 14 indexed citations
15.
Khan, Shafqat Ali, Rahul Thorat, Poonam Gera, et al.. (2020). Histone deacetylase inhibitor pre-treatment enhances the efficacy of DNA-interacting chemotherapeutic drugs in gastric cancer. World Journal of Gastroenterology. 26(6). 598–613. 17 indexed citations
16.
Gera, Poonam, et al.. (2020). Concomitant overexpression of Activin A and p63 is associated with poor outcome in oral cancer patients. Journal of Oral Pathology and Medicine. 49(9). 876–885. 5 indexed citations
18.
Gardi, Nilesh, Prerana Dange, Poonam Gera, et al.. (2019). Establishment and genomic characterization of gingivobuccal carcinoma cell lines with smokeless tobacco associated genetic alterations and oncogenic PIK3CA mutation. Scientific Reports. 9(1). 8272–8272. 14 indexed citations
19.
Pillai, Divya, Saurav Singh, Sadhana Kannan, et al.. (2019). Quality assessment of cryopreserved biospecimens reveals presence of intact biomolecules. Journal of Biophotonics. 12(12). e201960048–e201960048. 4 indexed citations
20.
Sahu, Aditi, et al.. (2017). Raman exfoliative cytology for oral precancer diagnosis. Journal of Biomedical Optics. 22(11). 1–1. 22 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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