Ankit Pandeya

612 total citations · 1 hit paper
20 papers, 439 citations indexed

About

Ankit Pandeya is a scholar working on Molecular Biology, Molecular Medicine and Immunology. According to data from OpenAlex, Ankit Pandeya has authored 20 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Molecular Medicine and 4 papers in Immunology. Recurrent topics in Ankit Pandeya's work include Inflammasome and immune disorders (7 papers), Antibiotic Resistance in Bacteria (6 papers) and Bacterial Genetics and Biotechnology (3 papers). Ankit Pandeya is often cited by papers focused on Inflammasome and immune disorders (7 papers), Antibiotic Resistance in Bacteria (6 papers) and Bacterial Genetics and Biotechnology (3 papers). Ankit Pandeya collaborates with scholars based in United States, Nepal and China. Ankit Pandeya's co-authors include Thirumala‐Devi Kanneganti, Yinan Wei, Ling Yang, Yan Zhang, Zhenyu Li, Zhenyu Li, Li Lan, Congqing Wu, Guoying Zhang and Sagar Rayamajhi and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Ankit Pandeya

20 papers receiving 434 citations

Hit Papers

Therapeutic potential of PANoptosis: innate sensors, infl... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankit Pandeya United States 10 251 113 39 36 33 20 439
Hsiao‐Wen Chiu Taiwan 11 215 0.9× 89 0.8× 15 0.4× 32 0.9× 21 0.6× 20 407
Hua Yu China 17 498 2.0× 77 0.7× 38 1.0× 60 1.7× 93 2.8× 29 727
Jiayu Chen China 11 211 0.8× 49 0.4× 33 0.8× 23 0.6× 26 0.8× 34 422
Jeremy Kean Yi Yap Malaysia 6 256 1.0× 79 0.7× 25 0.6× 28 0.8× 33 1.0× 9 469
Yuanyuan Dong China 14 263 1.0× 67 0.6× 21 0.5× 116 3.2× 33 1.0× 43 591
Xi Zeng China 13 141 0.6× 85 0.8× 20 0.5× 38 1.1× 100 3.0× 28 475
Yahui Li China 14 355 1.4× 39 0.3× 32 0.8× 31 0.9× 20 0.6× 45 506
Xingmei Liu China 13 204 0.8× 46 0.4× 20 0.5× 50 1.4× 13 0.4× 21 425

Countries citing papers authored by Ankit Pandeya

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Pandeya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Pandeya

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Pandeya. A scholar is included among the top collaborators of Ankit Pandeya 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 Ankit Pandeya. Ankit Pandeya 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.
Zhou, Yuqi, Ankit Pandeya, Ling Yang, et al.. (2025). Caspase-11 and NLRP3 exacerbate systemic Klebsiella infection through reducing mitochondrial ROS production. Frontiers in Immunology. 16. 1516120–1516120. 4 indexed citations
2.
Zhang, Yan, Guoying Zhang, Ankit Pandeya, et al.. (2025). Pyroptosis of pulmonary fibroblasts and macrophages through NLRC4 inflammasome leads to acute respiratory failure. Cell Reports. 44(4). 115479–115479. 7 indexed citations
3.
Churchill, Madeline J., Ankit Pandeya, Renate Bauer, et al.. (2025). Enteric tuft cell inflammasome activation drives NKp46+ILC3 IL22 via PGD2 and inhibits Salmonella. The Journal of Experimental Medicine. 222(6). 2 indexed citations
4.
Pandeya, Ankit, Yan Zhang, Ling Yang, et al.. (2023). Inflammasome activation and pyroptosis mediate coagulopathy and inflammation in Salmonella systemic infection. Microbiological Research. 275. 127460–127460. 19 indexed citations
5.
Pandeya, Ankit & Thirumala‐Devi Kanneganti. (2023). Therapeutic potential of PANoptosis: innate sensors, inflammasomes, and RIPKs in PANoptosomes. Trends in Molecular Medicine. 30(1). 74–88. 130 indexed citations breakdown →
6.
Mitchell, Richard J., Dmytro Havrylyuk, Ankit Pandeya, et al.. (2023). A monoadduct generating Ru( ii ) complex induces ribosome biogenesis stress and is a molecular mimic of phenanthriplatin. RSC Chemical Biology. 4(5). 344–353. 5 indexed citations
7.
Zhang, Yan, Congqing Wu, Lan Li, et al.. (2022). Extracellular Histones Trigger Disseminated Intravascular Coagulation by Lytic Cell Death. International Journal of Molecular Sciences. 23(12). 6800–6800. 13 indexed citations
8.
Pandeya, Ankit, et al.. (2021). Biotinylation as a tool to enhance the uptake of small molecules in Gram-negative bacteria. PLoS ONE. 16(11). e0260023–e0260023. 4 indexed citations
9.
Wei, Yinan, et al.. (2021). Pyroptosis-Induced Inflammation and Tissue Damage. Journal of Molecular Biology. 434(4). 167301–167301. 83 indexed citations
10.
Yang, Ling, et al.. (2021). Transport Across Two Membrane Bilayers in E. coli by Efflux Pumps of Different Dimensions. Journal of Molecular Biology. 434(2). 167376–167376. 1 indexed citations
11.
Yang, Ling, et al.. (2021). Insight into the AcrAB-TolC Complex Assembly Process Learned from Competition Studies. Antibiotics. 10(7). 830–830. 13 indexed citations
12.
Pandeya, Ankit, et al.. (2021). Donnan Potential across the Outer Membrane of Gram-Negative Bacteria and Its Effect on the Permeability of Antibiotics. Antibiotics. 10(6). 701–701. 26 indexed citations
13.
Pandeya, Ankit, et al.. (2020). Distribution of fluoroquinolones in the two aqueous compartments of Escherichia coli. Biochemistry and Biophysics Reports. 24. 100849–100849. 6 indexed citations
14.
Pandeya, Ankit, et al.. (2020). Probing the Dynamics of AcrB Through Disulfide Bond Formation. ACS Omega. 5(34). 21844–21852. 4 indexed citations
15.
Pandeya, Ankit, et al.. (2020). Periplasmic Targets for the Development of Effective Antimicrobials against Gram-Negative Bacteria. ACS Infectious Diseases. 6(9). 2337–2354. 28 indexed citations
16.
Pandeya, Ankit, Li Lan, Zhenyu Li, & Yinan Wei. (2019). Gasdermin D (GSDMD) as a new target for the treatment of infection. MedChemComm. 10(5). 660–667. 46 indexed citations
17.
Pandeya, Ankit, Sagar Rayamajhi, Pravin Pokhrel, & Basant Giri. (2018). Evaluation of secondary metabolites, antioxidant activity, and color parameters of Nepali wines. Food Science & Nutrition. 6(8). 2252–2263. 13 indexed citations
18.
Pandeya, Ankit, et al.. (2017). Study of antibacterial and antioxidant activities of four common Nepalese kitchen spices. African Journal of Pharmacy and Pharmacology. 11(6). 103–107. 1 indexed citations
19.
Pandeya, Ankit, et al.. (2015). Investigations of antioxidant and antibacterial activity of leaf extracts of Azadirachta indica. AFRICAN JOURNAL OF BIOTECHNOLOGY. 14(46). 3159–3163. 29 indexed citations
20.
Pokhrel, Bharat Mani, et al.. (2014). Screening and optimization of extra cellular protease from bacteria isolated from sewage.. European Journal of Biotechnology and Bioscience. 2(2). 46–49. 5 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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