Adeel Khan

746 total citations
33 papers, 530 citations indexed

About

Adeel Khan is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Adeel Khan has authored 33 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Cancer Research and 5 papers in Rheumatology. Recurrent topics in Adeel Khan's work include Extracellular vesicles in disease (13 papers), MicroRNA in disease regulation (9 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Adeel Khan is often cited by papers focused on Extracellular vesicles in disease (13 papers), MicroRNA in disease regulation (9 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Adeel Khan collaborates with scholars based in China, Pakistan and United States. Adeel Khan's co-authors include Zhiyang Li, Kaili Di, Tao Xiong, Nongyue He, Rongrong Huang, Han Shen, Su Wang, Haroon Khan, Hongpan Xu and Shiyi Ye and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Adeel Khan

31 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adeel Khan China 14 379 136 125 73 31 33 530
Qin Xiao China 11 324 0.9× 81 0.6× 91 0.7× 57 0.8× 19 0.6× 21 466
Jingyun Guo China 13 348 0.9× 155 1.1× 128 1.0× 64 0.9× 52 1.7× 28 527
Dan Peer Israel 12 540 1.4× 163 1.2× 151 1.2× 57 0.8× 42 1.4× 24 776
E. Duggan United States 12 516 1.4× 202 1.5× 158 1.3× 38 0.5× 30 1.0× 16 651
Shahrokh M. Ghobadloo Canada 10 309 0.8× 115 0.8× 83 0.7× 35 0.5× 27 0.9× 13 446
Qiaoting Deng China 13 277 0.7× 65 0.5× 106 0.8× 39 0.5× 28 0.9× 28 459
Tianyi Shen China 12 244 0.6× 94 0.7× 124 1.0× 49 0.7× 19 0.6× 29 441
Linglei Jiang China 13 503 1.3× 204 1.5× 123 1.0× 149 2.0× 33 1.1× 17 745
Н. А. Верлов Russia 9 314 0.8× 169 1.2× 73 0.6× 29 0.4× 31 1.0× 37 406

Countries citing papers authored by Adeel Khan

Since Specialization
Citations

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

Fields of papers citing papers by Adeel Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adeel Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Adeel Khan. A scholar is included among the top collaborators of Adeel Khan 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 Adeel Khan. Adeel Khan 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.
Wang, Zhongyu, Wenjing Liu, Xiaoshan Zhang, et al.. (2025). Machine Learning-Based Identification of Novel Exosome-Derived Metabolic Biomarkers for the Diagnosis of Systemic Lupus Erythematosus and Differentiation of Renal Involvement. Current Medical Science. 45(2). 231–243. 1 indexed citations
2.
Cheng, Siyun, Xiaojie Chu, Zhongyu Wang, et al.. (2025). Uncovering potential biomarkers and metabolic pathways in systemic lupus erythematosus and lupus nephritis through integrated microbiome and metabolome analysis. BMC Microbiology. 25(1). 275–275. 1 indexed citations
3.
Gao, Jia, Bo Shi, Wenjing Liu, et al.. (2025). Identification of serum exosomal miRNA biomarkers in patients with lupus nephritis. Clinical Rheumatology. 44(6). 2299–2310. 2 indexed citations
4.
Khan, Adeel, et al.. (2024). Effect of Simple Oral Dental Extraction on Systemic Serum Amyloid A Concentrations in Horses. Veterinary Medicine and Science. 10(6). e70104–e70104.
5.
Shi, Bo, et al.. (2024). Unveiling Immune Infiltration Characterizing Genes in Hypertrophic Cardiomyopathy Through Transcriptomics and Bioinformatics. Journal of Inflammation Research. Volume 17. 3079–3092. 4 indexed citations
6.
Cheng, Siyun, Zhijie Tu, Shuai Zheng, et al.. (2024). Development of a Magnetically-Assisted SERS Biosensor for Rapid Bacterial Detection. International Journal of Nanomedicine. Volume 19. 389–401. 13 indexed citations
7.
Shi, Bo, Fei Chen, Adeel Khan, et al.. (2024). Urinary microbiome profiling as a non-invasive tool for identifying biomarkers in systemic lupus erythematosus and lupus nephritis. Frontiers in Cellular and Infection Microbiology. 14. 1364333–1364333. 2 indexed citations
8.
Khan, Adeel, Faisal Raza, & Nongyue He. (2024). Nanoscale Extracellular Vesicle-Enabled Liquid Biopsy: Advances and Challenges for Lung Cancer Detection. Micromachines. 15(10). 1181–1181. 3 indexed citations
9.
Khan, Adeel, et al.. (2024). Identification of serum exosomal miRNA biomarkers for diagnosis of Rheumatoid arthritis. International Immunopharmacology. 129. 111604–111604. 15 indexed citations
10.
Yang, Ping, Rui Xu, Fei Chen, et al.. (2023). Fungal gut microbiota dysbiosis in systemic lupus erythematosus. Frontiers in Microbiology. 14. 1149311–1149311. 13 indexed citations
11.
Wu, Jie, Hongpan Xu, Fenghua Hu, et al.. (2023). CRISPR-Cas and catalytic hairpin assembly technology for target-initiated amplification detection of pancreatic cancer specific tsRNAs. Frontiers in Bioengineering and Biotechnology. 11. 1169424–1169424. 7 indexed citations
12.
Cheng, Wenting, et al.. (2023). Signal-off electrochemical sensor for matrix metalloproteinase 9 detection based on sacrificial FeMOF and host-guest strategy. Biosensors and Bioelectronics. 237. 115455–115455. 14 indexed citations
14.
Khan, Adeel, et al.. (2023). MicroRNAs: The next generation of cancer biomarkers. 9(2).
15.
Di, Kaili, Jie Wu, Xinrui Gu, et al.. (2022). MicroRNAs in extracellular vesicles: Sorting mechanisms, diagnostic value, isolation, and detection technology. Frontiers in Bioengineering and Biotechnology. 10. 948959–948959. 78 indexed citations
16.
He, Lei, et al.. (2022). Exosomes based advancements for application in medical aesthetics. Frontiers in Bioengineering and Biotechnology. 10. 1083640–1083640. 36 indexed citations
17.
Durrani, Samran, Jie Zhang, Aiping Pang, et al.. (2022). Plant-derived Ca, N, S-Doped carbon dots for fast universal cell imaging and intracellular Congo red detection. Analytica Chimica Acta. 1202. 339672–339672. 31 indexed citations
18.
Cheng, Wenting, Ying Sun, Guiping Zhao, et al.. (2022). A novel peptide-templated AgNPs nanoprobe for theranostics of prostate cancer. Biosensors and Bioelectronics. 223. 114978–114978. 25 indexed citations
19.
Di, Kaili, Xinrui Gu, Rongrong Huang, et al.. (2022). Highly efficient and automated isolation technology for extracellular vesicles microRNA. Frontiers in Bioengineering and Biotechnology. 10. 948757–948757. 9 indexed citations
20.
Khan, Haroon, Adeel Khan, Yufeng Liu, et al.. (2019). CRISPR-Cas13a mediated nanosystem for attomolar detection of canine parvovirus type 2. Chinese Chemical Letters. 30(12). 2201–2204. 53 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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