Pallavi Gupta

1.5k total citations
36 papers, 1.1k citations indexed

About

Pallavi Gupta is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, Pallavi Gupta has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Neurology. Recurrent topics in Pallavi Gupta's work include Botulinum Toxin and Related Neurological Disorders (4 papers), Escherichia coli research studies (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). Pallavi Gupta is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (4 papers), Escherichia coli research studies (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). Pallavi Gupta collaborates with scholars based in India, United States and Canada. Pallavi Gupta's co-authors include Gurudutta Gangenahalli, Vimal Kishor Singh, Neeraj Kumar Satija, Shilpa Sharma, Yogesh Kumar Verma, Farhat Afrin, Brittany Irvine, Daniel Krewski, Mona Hersi and Nicholas Birkett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and PLANT PHYSIOLOGY.

In The Last Decade

Pallavi Gupta

36 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
Pallavi Gupta India 14 419 239 159 132 94 36 1.1k
Maria Tzetis Greece 30 703 1.7× 402 1.7× 211 1.3× 170 1.3× 103 1.1× 115 2.3k
Yuehong Li China 19 500 1.2× 75 0.3× 149 0.9× 66 0.5× 98 1.0× 98 1.2k
Linda N. Geng United States 15 1.3k 3.1× 276 1.2× 100 0.6× 109 0.8× 75 0.8× 35 1.7k
Yukiko Hata Japan 17 482 1.2× 101 0.4× 126 0.8× 203 1.5× 43 0.5× 105 1.1k
Geok Chin Tan Malaysia 20 562 1.3× 171 0.7× 302 1.9× 111 0.8× 105 1.1× 132 1.6k
Dominique Bozon France 23 745 1.8× 336 1.4× 183 1.2× 295 2.2× 72 0.8× 57 2.4k
Angela Bruna Maffione Italy 16 254 0.6× 197 0.8× 72 0.5× 105 0.8× 138 1.5× 41 891
Charles F. Simmons United States 19 249 0.6× 162 0.7× 117 0.7× 133 1.0× 164 1.7× 37 1.5k
Ahmed Omran Egypt 16 427 1.0× 89 0.4× 114 0.7× 67 0.5× 100 1.1× 54 1.1k
Padmalaya Das United States 18 872 2.1× 260 1.1× 191 1.2× 142 1.1× 178 1.9× 46 1.8k

Countries citing papers authored by Pallavi Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Pallavi Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pallavi Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Pallavi Gupta. A scholar is included among the top collaborators of Pallavi 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 Pallavi Gupta. Pallavi 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.
Gupta, Pallavi, J. S. Walker, Laurel Despins, et al.. (2023). A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place. Journal of Biomedical Informatics. 147. 104530–104530. 3 indexed citations
2.
Gupta, Pallavi, et al.. (2023). Cohort Discovery from Bed Sensor Data with Fuzzy Evidence Accumulation Clustering. 7. 1–8. 2 indexed citations
3.
Gupta, Pallavi, et al.. (2022). Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management. 2022 IEEE International Conference on Big Data (Big Data). 3124–3130. 1 indexed citations
4.
Baldrich, Patricia, Sébastien Bélanger, Suresh Pokhrel, et al.. (2022). The evolutionary history of small RNAs in Solanaceae. PLANT PHYSIOLOGY. 189(2). 644–665. 11 indexed citations
5.
Hammond, Reza, Pallavi Gupta, Parth Patel, & Blake C. Meyers. (2022). miRador: a fast and precise tool for the prediction of plant miRNAs. PLANT PHYSIOLOGY. 191(2). 894–903. 8 indexed citations
6.
Gupta, Pallavi, et al.. (2020). The Impact and Importance of Statistics in Data Science. International Journal of Computer Applications. 176(24). 10–14. 4 indexed citations
7.
Gupta, Pallavi & Ram Kumar Dhaked. (2019). Immunological detection assays for recombinant Shiga toxin & Shigella dysenteriae. The Indian Journal of Medical Research. 149(3). 412–417. 1 indexed citations
8.
Hersi, Mona, Brittany Irvine, Pallavi Gupta, et al.. (2017). Risk factors associated with the onset and progression of Alzheimer’s disease: A systematic review of the evidence. NeuroToxicology. 61. 143–187. 226 indexed citations
9.
10.
Satija, Neeraj Kumar, et al.. (2012). Stem cell therapy. The Indian Journal of Medical Research. 135(1). 15–25. 19 indexed citations
11.
Dhaked, Ram Kumar, et al.. (2011). Characterization of LC-HCC Fusion Protein of Botulinum Neurotoxin Type A. Protein and Peptide Letters. 18(3). 295–304. 3 indexed citations
12.
Dhaked, Ram Kumar, et al.. (2010). Botulinum toxin: Bioweapon & magic drug. The Indian Journal of Medical Research. 132(5). 489–503. 23 indexed citations
13.
Hingorani, Pooja, Pallavi Gupta, Dilip R. Karnad, et al.. (2010). Effect of Number of Replicate Electrocardiograms Recorded at Each Time Point in a Thorough QT Study on Sample Size and Study Cost. The Journal of Clinical Pharmacology. 51(6). 908–914. 16 indexed citations
14.
Satija, Neeraj Kumar, Gurudutta Gangenahalli, Shilpa Sharma, et al.. (2007). Mesenchymal Stem Cells: Molecular Targets for Tissue Engineering. Stem Cells and Development. 16(1). 7–24. 139 indexed citations
15.
Gangenahalli, Gurudutta, Vimal Kishor Singh, Yogesh Kumar Verma, et al.. (2006). Hematopoietic Stem Cell Antigen CD34: Role in Adhesion or Homing. Stem Cells and Development. 15(3). 305–313. 66 indexed citations
16.
Gupta, Pallavi, Gurudutta Gangenahalli, Yogesh Kumar Verma, et al.. (2006). PU.1: An ETS Family Transcription Factor That Regulates Leukemogenesis Besides Normal Hematopoiesis. Stem Cells and Development. 15(4). 609–617. 17 indexed citations
17.
Sharma, Shilpa, Gurudutta Gangenahalli, Neeraj Kumar Satija, et al.. (2006). Stem Cell c- KIT and HOXB4 Genes: Critical Roles and Mechanisms in Self-Renewal, Proliferation, and Differentiation. Stem Cells and Development. 15(6). 755–778. 48 indexed citations
18.
Verma, Yogesh Kumar, et al.. (2006). Hypothetical Model for the Suppression of Stress Induced Apoptosis in Hematopoietic Stem Cells by Bcl-2 Mutants. 21(1). 1. 1 indexed citations
19.
Gangenahalli, Gurudutta, Pallavi Gupta, Daman Saluja, et al.. (2005). Stem Cell Fate Specification: Role of Master Regulatory Switch Transcription Factor PU.1 in Differential Hematopoiesis. Stem Cells and Development. 14(2). 140–152. 39 indexed citations
20.
Gangenahalli, Gurudutta, Vimal Kishor Singh, Yogesh Kumar Verma, et al.. (2005). Three-Dimensional Structure Prediction of the Interaction of CD34 with the SH3 Domain of Crk-L. Stem Cells and Development. 14(5). 470–477. 6 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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