Muhammad Vaseem Shaikh

574 total citations
11 papers, 283 citations indexed

About

Muhammad Vaseem Shaikh is a scholar working on Oncology, Molecular Biology and Biomaterials. According to data from OpenAlex, Muhammad Vaseem Shaikh has authored 11 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Biomaterials. Recurrent topics in Muhammad Vaseem Shaikh's work include Nanoparticle-Based Drug Delivery (2 papers), Cancer Cells and Metastasis (2 papers) and CAR-T cell therapy research (2 papers). Muhammad Vaseem Shaikh is often cited by papers focused on Nanoparticle-Based Drug Delivery (2 papers), Cancer Cells and Metastasis (2 papers) and CAR-T cell therapy research (2 papers). Muhammad Vaseem Shaikh collaborates with scholars based in India and Canada. Muhammad Vaseem Shaikh's co-authors include Manish Nivsarkar, Neeta Shrivastava, Anita K. Mehta, Kiranj Chaudagar, Keith A. Lawson, Sheila K. Singh, Neil Savage, Nazanin Tatari, Chitra Venugopal and Xiaoyu Zhang and has published in prestigious journals such as Cancer Research, Frontiers in Immunology and Journal of Ethnopharmacology.

In The Last Decade

Muhammad Vaseem Shaikh

10 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Vaseem Shaikh India 8 99 68 45 41 33 11 283
Marwa E. Shabana Egypt 10 70 0.7× 29 0.4× 52 1.2× 25 0.6× 14 0.4× 33 285
Vahideh Assadollahi Iran 12 125 1.3× 50 0.7× 53 1.2× 30 0.7× 18 0.5× 37 348
Houshang Nemati Iran 11 140 1.4× 18 0.3× 13 0.3× 38 0.9× 18 0.5× 30 421
Xuemei Zhang China 12 160 1.6× 27 0.4× 14 0.3× 60 1.5× 41 1.2× 25 580
Mehri Azadbakht Iran 11 120 1.2× 117 1.7× 132 2.9× 20 0.5× 31 0.9× 54 429
Leila Mohammadnejad Iran 12 152 1.5× 12 0.2× 12 0.3× 20 0.5× 29 0.9× 31 328
Alia Aldahlawi Saudi Arabia 12 149 1.5× 30 0.4× 4 0.1× 23 0.6× 50 1.5× 34 342
Terry Golombick Australia 11 209 2.1× 21 0.3× 10 0.2× 23 0.6× 66 2.0× 26 425

Countries citing papers authored by Muhammad Vaseem Shaikh

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Vaseem Shaikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Vaseem Shaikh. 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 Muhammad Vaseem Shaikh. The network helps show where Muhammad Vaseem Shaikh may publish in the future.

Co-authorship network of co-authors of Muhammad Vaseem Shaikh

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Vaseem Shaikh. A scholar is included among the top collaborators of Muhammad Vaseem Shaikh 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 Muhammad Vaseem Shaikh. Muhammad Vaseem Shaikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Shaikh, Muhammad Vaseem, et al.. (2024). Cancer Stem Cells: Current Challenges and Future Perspectives. Methods in molecular biology. 2777. 1–18. 1 indexed citations
2.
Shaikh, Muhammad Vaseem, Jeffrey Wei, Oliver Y. Tang, et al.. (2024). Abstract 5241: Generation of allogeneic CAR-T circumvents functional deficits in patient-derived autologous product for glioblastoma. Cancer Research. 84(6_Supplement). 5241–5241.
3.
Tatari, Nazanin, Xiaoyu Zhang, Shawn C. Chafe, et al.. (2022). Dual Antigen T Cell Engagers Targeting CA9 as an Effective Immunotherapeutic Modality for Targeting CA9 in Solid Tumors. Frontiers in Immunology. 13. 905768–905768. 9 indexed citations
4.
Shaikh, Muhammad Vaseem, et al.. (2018). D-limonene possesses cytotoxicity to tumor cells but not to hepatocytes. Polish Annals of Medicine. 11 indexed citations
5.
Shaikh, Muhammad Vaseem, et al.. (2017). Formulation and optimization of doxorubicin loaded polymeric nanoparticles using Box-Behnken design: ex-vivo stability and in-vitro activity. European Journal of Pharmaceutical Sciences. 100. 262–272. 60 indexed citations
6.
Shaikh, Muhammad Vaseem, et al.. (2016). Development and Optimization of an Ex Vivo Colloidal Stability Model for Nanoformulations. AAPS PharmSciTech. 18(4). 1288–1292. 3 indexed citations
7.
Shaikh, Muhammad Vaseem, et al.. (2016). Development and optimization of psychological stress model in mice using 2 level full factorial design. Journal of Pharmacological and Toxicological Methods. 82. 54–61. 11 indexed citations
8.
Shaikh, Muhammad Vaseem, et al.. (2016). Equilibrium between anti‐oxidants and reactive oxygen species: a requisite for oocyte development and maturation. Reproductive Medicine and Biology. 16(1). 28–35. 105 indexed citations
9.
Shaikh, Muhammad Vaseem, et al.. (2016). CD90 a potential cancer stem cell marker and a therapeutic target. Cancer Biomarkers. 16(3). 301–307. 48 indexed citations
10.
Shaikh, Muhammad Vaseem, et al.. (2015). Abortifacient potential of methanolic extract of Anthocephalus cadamba stem bark in mice. Journal of Ethnopharmacology. 173. 313–317. 7 indexed citations
11.
Shaikh, Muhammad Vaseem, et al.. (2014). An improved and versatile immunosuppression protocol for the development of tumor xenograft in mice.. PubMed. 34(12). 7177–83. 28 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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2026