Saurabh Gupta

3.5k total citations · 1 hit paper
176 papers, 2.1k citations indexed

About

Saurabh Gupta is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Saurabh Gupta has authored 176 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Epidemiology, 59 papers in Molecular Biology and 33 papers in Infectious Diseases. Recurrent topics in Saurabh Gupta's work include Mycobacterium research and diagnosis (69 papers), Infectious Diseases and Mycology (23 papers) and Tuberculosis Research and Epidemiology (21 papers). Saurabh Gupta is often cited by papers focused on Mycobacterium research and diagnosis (69 papers), Infectious Diseases and Mycology (23 papers) and Tuberculosis Research and Epidemiology (21 papers). Saurabh Gupta collaborates with scholars based in India, United States and Saudi Arabia. Saurabh Gupta's co-authors include Rasanpreet Kaur, Alok Bhardwaj, Shoor Vir Singh, Helen Campbell, Gayatri Amirthalingam, Jagdip Singh Sohal, Kundan Kumar Chaubey, Malay K. Samanta, Eran Bram and Ashok M. Raichur and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Saurabh Gupta

161 papers receiving 2.0k citations

Hit Papers

Cancer treatment therapies: traditional to modern approac... 2023 2026 2024 2025 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cancer treatment therapies: traditional to modern approaches to combat cancers
    2023 248 citations Rasanpreet Kaur, Alok Bhardwaj et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saurabh Gupta India 23 660 604 267 242 198 176 2.1k
Elrashdy M. Redwan Saudi Arabia 36 1.6k 2.4× 414 0.7× 629 2.4× 289 1.2× 236 1.2× 161 3.9k
Rossella Grande Italy 32 906 1.4× 229 0.4× 215 0.8× 276 1.1× 160 0.8× 70 2.6k
Rajesh Pandey India 35 1.3k 1.9× 631 1.0× 893 3.3× 104 0.4× 269 1.4× 215 4.3k
Maria Antonietta Tufano Italy 31 775 1.2× 441 0.7× 215 0.8× 375 1.5× 95 0.5× 120 3.0k
Lourdes Sánchez Spain 33 1.1k 1.6× 318 0.5× 476 1.8× 135 0.6× 243 1.2× 153 4.0k
Xuesong Sun China 27 863 1.3× 252 0.4× 165 0.6× 87 0.4× 183 0.9× 119 2.4k
Christian Bories France 31 674 1.0× 722 1.2× 138 0.5× 138 0.6× 64 0.3× 136 4.1k
Márcia Edilaine Lopes Consolaro Brazil 28 592 0.9× 1.0k 1.7× 539 2.0× 697 2.9× 158 0.8× 120 2.8k
Marilyn N. Martinez United States 26 481 0.7× 178 0.3× 144 0.5× 140 0.6× 198 1.0× 107 2.7k
Siobhán McClean Ireland 34 1.7k 2.5× 390 0.6× 309 1.2× 456 1.9× 121 0.6× 106 3.9k

Countries citing papers authored by Saurabh Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Saurabh Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurabh Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Gupta. A scholar is included among the top collaborators of Saurabh 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 Saurabh Gupta. Saurabh 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
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Gupta, Saurabh, et al.. (2024). Circulating Extracellular Vesicles: An Effective Biomarker for Cancer Progression. Frontiers in Bioscience-Landmark. 29(11). 375–375. 1 indexed citations
3.
Sarkar, Susmita, et al.. (2024). Elucidating ATP’s role as solubilizer of biomolecular aggregate. eLife. 13. 4 indexed citations
4.
Almutary, Abdulmajeed G., M. Yasmin Begum, Saurabh Gupta, et al.. (2024). Inflammatory signaling pathways in Alzheimer's disease: Mechanistic insights and possible therapeutic interventions. Ageing Research Reviews. 104. 102548–102548. 6 indexed citations
5.
Nelson, Vinod Kumar, Saurabh Gupta, Richa Mishra, et al.. (2024). Dietary anti-inflammatory and anti-bacterial medicinal plants and its compounds in bovine mastitis associated impact on human life. Microbial Pathogenesis. 192. 106687–106687. 9 indexed citations
6.
Kaur, Rasanpreet, Saurabh Gupta, Vishal Khandelwal, et al.. (2024). Metabolomics-Driven Biomarker Discovery for Breast Cancer Prognosis and Diagnosis. Cells. 14(1). 5–5. 7 indexed citations
7.
Gupta, Saurabh, Rasanpreet Kaur, Alok Bhardwaj, et al.. (2023). Multi-omics approaches for understanding stressor-induced physiological changes in plants: An updated overview. Physiological and Molecular Plant Pathology. 126. 102047–102047. 15 indexed citations
8.
Gupta, Saurabh & Kamaldeep Paul. (2023). Membrane-active substituted triazines as antibacterial agents against Staphylococcus aureus with potential for low drug resistance and broad activity. European Journal of Medicinal Chemistry. 258. 115551–115551. 22 indexed citations
9.
Gilyazova, I. R., Elizaveta Ivanova, Saurabh Gupta, et al.. (2023). MiRNA-146a—A Key Player in Immunity and Diseases. International Journal of Molecular Sciences. 24(16). 12767–12767. 47 indexed citations
10.
Bharadwaj, Alok, Rasanpreet Kaur, & Saurabh Gupta. (2023). Emerging Treatment Approaches for COVID-19 Infection: A CriticalReview. Current Molecular Medicine. 24(4). 435–448. 3 indexed citations
11.
Das, Kaushik, Subhojit Paul, Arnab Ghosh, et al.. (2023). Beyond Macromolecules: Extracellular Vesicles as Regulators of Inflammatory Diseases. Cells. 12(15). 1963–1963. 21 indexed citations
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Das, Kaushik, Subhojit Paul, Arnab Ghosh, et al.. (2023). Extracellular Vesicles in Triple–Negative Breast Cancer: Immune Regulation, Biomarkers, and Immunotherapeutic Potential. Cancers. 15(19). 4879–4879. 23 indexed citations
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Bharadwaj, Alok, et al.. (2022). Multidrug‐Resistant Bacteria: Their Mechanism of Action and Prophylaxis. BioMed Research International. 2022(1). 5419874–5419874. 93 indexed citations
17.
Chaubey, Kundan Kumar, Tarkeshwar Gupta, Shoor Vir Singh, et al.. (2021). Cloning and expression of cultural filtrate proteins from novel and native strains of Mycobacterium avium subspecies paratuberculosis and their application in ELISA based sero-diagnosis of Johne's disease. 59(4). 219–229. 1 indexed citations
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Patil, Prasanna Kumar, et al.. (2016). Risk factors associated with sero-positivity to Johne’s disease in Indian dairy herds. The Indian Journal of Animal Sciences. 86(3). 2 indexed citations
20.
Chandel, B.S., et al.. (2014). Incidence of Mycobacterium avium subspecies Paratuberculosis in Patanwadi sheep. Indian Journal of Small Ruminants (The). 20(1). 54–58. 1 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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