Malini Gupta

517 citations
14 papers · 418 · h-index 8

Impact in

  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents
    • Polyomavirus and related diseases
    • Cancer-related Molecular Pathways
    • Neutropenia and Cancer Infections

Papers in

    • Cancer therapeutics and mechanisms 3
    • DNA and Nucleic Acid Chemistry 2
    • Cytokine Signaling Pathways and Interactions 2

Malini Gupta

14 papers receiving 413 citations

Peers

Malini Gupta
Comparison fields: 5 of 61
  • Toxicology 48
  • Oncology 127
  • Molecular Biology 301
  • Virology 14
  • Infectious Diseases 37
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Citations per field
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Citations per year

Countries citing papers authored by Malini Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Malini Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1997178
2 200865
3
Inactivation of p53 increases the cytotoxicity of camptothecin in human colon HCT116 and breast MCF-7 cancer cells.
199763
4 202048
5 199515
6 201513
7 199413
8 20239
9 20235
10
Rhabdomyolysis in a patient with West Nile encephalitis and flaccid paralysis.
20085
11
Evaluation of anabolic hormone status in patients with COPD during stableand acute exacerbation state.
20141
12
Investigating the Role of Iron-Sulfur Signaling in Yeast Transcriptional Regulation
20201
13 20071
14
Tetanus in a patient with lepromatous leprosy.
20021

About Malini Gupta

Malini Gupta is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Renewable Energy, Sustainability and the Environment and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 418 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (3 papers), Metalloenzymes and iron-sulfur proteins (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Long-Term Effects of COVID-19 (1 paper), HIV Research and Treatment (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Toxicology (48 citations), Oncology (127 citations), Molecular Biology (301 citations), Virology (14 citations) and Infectious Diseases (37 citations). Malini Gupta has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Yves Pommier, Kurt W. Kohn, Abhijit Mazumder, Glenda Kohlhagen, Caryn E. Outten, Philippe Pourquier, Saijun Fan, P M O'Connor, Qian Zhan and Catherine Womack. Their work appears in journals such as Journal of Biological Chemistry, Mucosal Immunology, Journal of the American College of Cardiology, Heart and Nucleic Acids 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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