Gagan Deep Jhingan

551 total citations
24 papers, 388 citations indexed

About

Gagan Deep Jhingan is a scholar working on Infectious Diseases, Molecular Biology and Parasitology. According to data from OpenAlex, Gagan Deep Jhingan has authored 24 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 12 papers in Molecular Biology and 6 papers in Parasitology. Recurrent topics in Gagan Deep Jhingan's work include Amoebic Infections and Treatments (10 papers), Parasitic Infections and Diagnostics (6 papers) and Pancreatitis Pathology and Treatment (3 papers). Gagan Deep Jhingan is often cited by papers focused on Amoebic Infections and Treatments (10 papers), Parasitic Infections and Diagnostics (6 papers) and Pancreatitis Pathology and Treatment (3 papers). Gagan Deep Jhingan collaborates with scholars based in India, France and Iran. Gagan Deep Jhingan's co-authors include Nancy Guillén, Vinay Kumar Nandicoori, Debora B. Petropolis, Daniela M. Faust, Sylvie Syan, Doranda Perdomo, Martin Sachse, Mohan C. Joshi, Tanveer Ahmad and Sudha Bhattacharya and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Gagan Deep Jhingan

23 papers receiving 385 citations

Peers

Gagan Deep Jhingan
Gagan Deep Jhingan
Citations per year, relative to Gagan Deep Jhingan Gagan Deep Jhingan (= 1×) peers Navdeep Sheokand

Countries citing papers authored by Gagan Deep Jhingan

Since Specialization
Citations

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

Fields of papers citing papers by Gagan Deep Jhingan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gagan Deep Jhingan. 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 Gagan Deep Jhingan. The network helps show where Gagan Deep Jhingan may publish in the future.

Co-authorship network of co-authors of Gagan Deep Jhingan

This figure shows the co-authorship network connecting the top 25 collaborators of Gagan Deep Jhingan. A scholar is included among the top collaborators of Gagan Deep Jhingan 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 Gagan Deep Jhingan. Gagan Deep Jhingan 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.
Srinivasan, Sandhya, Gagan Deep Jhingan, Dhiraj Kumar, et al.. (2025). Differentially regulated saliva proteome and metabolome: a way forward for risk-assessment of oral cancer among tobacco abusers. Molecular Omics. 21(6). 594–606.
2.
Mukherjee, C., B. Chakraborty, Vivek Tripathi, et al.. (2025). Phosphorylated BLM peptide acts as an agonist for DNA damage response. Nucleic Acids Research. 53(4). 2 indexed citations
4.
Jhingan, Gagan Deep, et al.. (2023). Exposure to High Dosage of Gold Nanoparticles Accelerates Growth Rate by Modulating Ribosomal Protein Expression. ACS Nano. 17(16). 15529–15541. 5 indexed citations
5.
Jhingan, Gagan Deep, Maria Manich, Jean‐Christophe Olivo‐Marín, & Nancy Guillén. (2023). Live Cells Imaging and Comparative Phosphoproteomics Uncover Proteins from the Mechanobiome in Entamoeba histolytica. International Journal of Molecular Sciences. 24(10). 8726–8726. 5 indexed citations
6.
Rao, Aparna, Munmun Chakraborty, Sandhya Srinivasan, et al.. (2021). Switch to Autophagy the Key Mechanism for Trabecular Meshwork Death in Severe Glaucoma. Clinical ophthalmology. Volume 15. 3027–3039. 9 indexed citations
7.
Faizan, Md Imam, Rohit Kumar, Siddharth Yadav, et al.. (2021). A Saliva-Based RNA Extraction-Free Workflow Integrated With Cas13a for SARS-CoV-2 Detection. Frontiers in Cellular and Infection Microbiology. 11. 632646–632646. 59 indexed citations
8.
Pandey, Shubhi, Punita Kumari, Mithu Baidya, et al.. (2021). Intrinsic bias at non-canonical, β-arrestin-coupled seven transmembrane receptors. Molecular Cell. 81(22). 4605–4621.e11. 62 indexed citations
9.
Yamchi, Ahad, et al.. (2020). Identification of hub genes associated with RNAi-induced silencing of XIAP through targeted proteomics approach in MCF7 cells. Cell & Bioscience. 10(1). 78–78. 8 indexed citations
10.
Kaur, Prabhjot, Marvin D. Rausch, Yogesh Chawla, et al.. (2019). LipidII interaction with specific residues of Mycobacterium tuberculosis PknB extracytoplasmic domain governs its optimal activation. Nature Communications. 10(1). 1231–1231. 39 indexed citations
11.
Mayahi, Sabah, Masoud Golalipour, Ahad Yamchi, Gagan Deep Jhingan, & Majid Shahbazi. (2019). New insights into the roles of the FOXO3 and P27Kip1 genes in signaling pathways. Upsala Journal of Medical Sciences. 124(3). 149–157. 3 indexed citations
12.
Yamchi, Ahad, et al.. (2019). Proteomics evaluation of MDA-MB-231 breast cancer cells in response to RNAi-induced silencing of hPTTG. Life Sciences. 239. 116873–116873. 5 indexed citations
13.
Mansuri, M. Shahid, Mrigya Babuta, Gagan Deep Jhingan, et al.. (2016). Autophosphorylation at Thr279 of Entamoeba histolytica atypical kinase EhAK1 is required for activity and regulation of erythrophagocytosis. Scientific Reports. 6(1). 16969–16969. 6 indexed citations
14.
Srivastava, Ankita, Alok Bhattacharya, Sudha Bhattacharya, & Gagan Deep Jhingan. (2016). Identification of EhTIF-IA: The putative E. histolytica orthologue of the human ribosomal RNA transcription initiation factor-IA. Journal of Biosciences. 41(1). 51–62. 1 indexed citations
15.
Jhingan, Gagan Deep, Sangeeta Kumari, Shilpa Jamwal, et al.. (2016). Comparative Proteomic Analyses of Avirulent, Virulent, and Clinical Strains of Mycobacterium tuberculosis Identify Strain-specific Patterns. Journal of Biological Chemistry. 291(27). 14257–14273. 35 indexed citations
16.
Perdomo, Doranda, et al.. (2014). Cellular and proteomics analysis of the endomembrane system from the unicellular Entamoeba histolytica. Journal of Proteomics. 112. 125–140. 31 indexed citations
17.
Petropolis, Debora B., Daniela M. Faust, Gagan Deep Jhingan, & Nancy Guillén. (2014). A New Human 3D-Liver Model Unravels the Role of Galectins in Liver Infection by the Parasite Entamoeba histolytica. PLoS Pathogens. 10(9). e1004381–e1004381. 31 indexed citations
18.
Perdomo, Doranda, et al.. (2014). Data set for the proteomics analysis of the endomembrane system from the unicellular Entamoeba histolytica. Data in Brief. 1. 29–36. 6 indexed citations
19.
Jagtap, Pravin Kumar Ankush, Vijay Soni, Neha Vithani, et al.. (2012). Substrate-bound Crystal Structures Reveal Features Unique to Mycobacterium tuberculosis N-Acetyl-glucosamine 1-Phosphate Uridyltransferase and a Catalytic Mechanism for Acetyl Transfer. Journal of Biological Chemistry. 287(47). 39524–39537. 25 indexed citations
20.
Jhingan, Gagan Deep, Sunil K. Panigrahi, Alok Bhattacharya, & Sudha Bhattacharya. (2009). The nucleolus in Entamoeba histolytica and Entamoeba invadens is located at the nuclear periphery. Molecular and Biochemical Parasitology. 167(1). 72–80. 13 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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