Puja Gupta

1.4k total citations
45 papers, 1.0k citations indexed

About

Puja Gupta is a scholar working on Molecular Biology, Oncology and Ecology. According to data from OpenAlex, Puja Gupta has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Oncology and 6 papers in Ecology. Recurrent topics in Puja Gupta's work include Microbial Community Ecology and Physiology (4 papers), Polar Research and Ecology (3 papers) and Cell death mechanisms and regulation (3 papers). Puja Gupta is often cited by papers focused on Microbial Community Ecology and Physiology (4 papers), Polar Research and Ecology (3 papers) and Cell death mechanisms and regulation (3 papers). Puja Gupta collaborates with scholars based in India, United States and China. Puja Gupta's co-authors include Q. Ping Dou, Kenyon G. Daniel, Wayne C. Guida, Albert J. Wong, Shuang-Yin Han, Siddhartha S. Mitra, Gordon Li, Marina Holgado-Madruga, M.J. Powell and Neelima M. Bhat and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Puja Gupta

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Puja Gupta India 14 443 401 170 101 94 45 1.0k
Wen Gu China 21 269 0.6× 368 0.9× 153 0.9× 103 1.0× 99 1.1× 74 1.1k
Abu Shadat Mohammod Noman Bangladesh 14 237 0.5× 384 1.0× 113 0.7× 75 0.7× 33 0.4× 39 719
Ke Li China 20 370 0.8× 460 1.1× 241 1.4× 32 0.3× 116 1.2× 78 1.3k
Amos Gaikwad United States 20 277 0.6× 781 1.9× 192 1.1× 282 2.8× 104 1.1× 49 1.6k
Tapas K. Sengupta United States 21 393 0.9× 1.1k 2.6× 272 1.6× 58 0.6× 56 0.6× 45 1.7k
Xiaoxuan Wang China 18 333 0.8× 558 1.4× 109 0.6× 36 0.4× 56 0.6× 81 1.2k
Anthea Hardcastle United Kingdom 19 410 0.9× 710 1.8× 67 0.4× 55 0.5× 106 1.1× 38 1.3k
Jinghong Li China 20 521 1.2× 621 1.5× 227 1.3× 51 0.5× 105 1.1× 87 1.4k
Haiping Yang China 22 235 0.5× 694 1.7× 207 1.2× 52 0.5× 78 0.8× 79 1.5k

Countries citing papers authored by Puja Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Puja Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puja Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Puja Gupta. A scholar is included among the top collaborators of Puja Gupta 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 Puja Gupta. Puja Gupta 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.
Kumavath, Ranjith, et al.. (2025). Unraveling the role of mobile genetic elements in antibiotic resistance transmission and defense strategies in bacteria. PubMed. 5. 1557413–1557413. 4 indexed citations
2.
Gupta, Puja, et al.. (2024). Antimicrobial peptides as new antibiotics: A comprehensive review. Journal of Applied Biology & Biotechnology. 1 indexed citations
3.
Gupta, Puja, Sumit Srivastava, & Vijay Nath. (2024). Artificial Intelligence-based Deep Learning Architecture for Tuberculosis Detection. Wireless Personal Communications. 138(3). 1937–1953. 1 indexed citations
4.
Gupta, Puja & Mohd. Shahnawaz. (2023). Soil Microbiome of the Cold Habitats.
5.
Sayavedra, Lizbeth, María Díaz, Puja Gupta, et al.. (2021). Genomic analysis of a rare recurrent Listeria monocytogenes prosthetic joint infection indicates a protected niche within biofilm on prosthetic materials. Scientific Reports. 11(1). 21864–21864. 5 indexed citations
6.
Gupta, Puja, et al.. (2020). Government initiatives for solar home systems for rural electrification in India: Outlook and Challenges. International journal of home science. 6(3). 32–38. 1 indexed citations
7.
Shah, Omid, John Tamaresis, Liwen Xu, et al.. (2020). Analysis of the Whole CDR3 T Cell Receptor Repertoire after Hematopoietic Stem Cell Transplantation in 2 Clinical Cohorts. Biology of Blood and Marrow Transplantation. 26(6). 1050–1070. 5 indexed citations
8.
Xu, Liwen, Xiaoqing You, Bing Zhang, et al.. (2016). Methodologic Considerations in the Application of Next-Generation Sequencing of Human TRB Repertoires for Clinical Use. Journal of Molecular Diagnostics. 19(1). 72–83. 8 indexed citations
9.
10.
Gupta, Puja, Naseer Sangwan, Rup Lal, & Jyoti Vakhlu. (2015). Bacterial diversity of Drass, cold desert in Western Himalaya, and its comparison with Antarctic and Arctic. Archives of Microbiology. 197(6). 851–860. 28 indexed citations
11.
Gupta, Puja, et al.. (2014). Appraisal of Knowledge of Youth Towards Energy Conservation and Efficiency in India: An Exploratory Research. SSRN Electronic Journal. 1 indexed citations
12.
Palejwala, Sheri K., et al.. (2014). Use of a stop-flow programmable shunt valve to maximize CNS chemotherapy delivery in a pediatric patient with acute lymphoblastic leukemia. Surgical Neurology International. 5(5). 273–273. 2 indexed citations
13.
Emlet, David R., Puja Gupta, Marina Holgado-Madruga, et al.. (2013). Targeting a Glioblastoma Cancer Stem-Cell Population Defined by EGF Receptor Variant III. Cancer Research. 74(4). 1238–1249. 119 indexed citations
14.
Cao, Na, Yi Wang, Jian Cui, et al.. (2013). Chimeric antigen receptor containing ICOS signaling domain mediates specific and efficient antitumor effect of T cells against EGFRvIII expressing glioma. Journal of Hematology & Oncology. 6(1). 33–33. 86 indexed citations
15.
Gerber, David E., Puja Gupta, Michael T. Dellinger, et al.. (2012). Stromal Platelet-Derived Growth Factor Receptor α (PDGFRα) Provides a Therapeutic Target Independent of Tumor Cell PDGFRα Expression in Lung Cancer Xenografts. Molecular Cancer Therapeutics. 11(11). 2473–2482. 35 indexed citations
16.
Kopp, Lisa M., et al.. (2012). Late Effects in Adult Survivors of Pediatric Cancer: A Guide for the Primary Care Physician. The American Journal of Medicine. 125(7). 636–641. 32 indexed citations
17.
Dineen, Seán, Christina L. Roland, Juliet G. Carbon, et al.. (2010). Smac Mimetic Increases Chemotherapy Response and Improves Survival in Mice with Pancreatic Cancer. Cancer Research. 70(7). 2852–2861. 86 indexed citations
18.
Gupta, Puja & Madhulika Bhagat. (2010). Immunomodulatory activities of aqueous extract of Alseodaphne andersonii in mice.. Journal of the Medical Sciences (Berkala Ilmu Kedokteran). 2(2). 177–180. 1 indexed citations
19.
Varshney, K. G., et al.. (2003). Synthesis, characterization and applications of a new phase of crystalline and mercury selective acrylamide cerium(IV) phosphate: A novel fibrous ion exchanger. INDIAN JOURNAL OF CHEMISTRY- SECTION A. 42(1). 89–93. 7 indexed citations
20.
Daniel, Kenyon G., et al.. (2003). Organic copper complexes as a new class of proteasome inhibitors and apoptosis inducers in human cancer cells. Biochemical Pharmacology. 67(6). 1139–1151. 261 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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