Muhammad M. Bashir

2.3k total citations
61 papers, 1.9k citations indexed

About

Muhammad M. Bashir is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Muhammad M. Bashir has authored 61 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Immunology and 18 papers in Genetics. Recurrent topics in Muhammad M. Bashir's work include Connective tissue disorders research (16 papers), T-cell and B-cell Immunology (7 papers) and Inflammatory Myopathies and Dermatomyositis (6 papers). Muhammad M. Bashir is often cited by papers focused on Connective tissue disorders research (16 papers), T-cell and B-cell Immunology (7 papers) and Inflammatory Myopathies and Dermatomyositis (6 papers). Muhammad M. Bashir collaborates with scholars based in United States, Pakistan and Australia. Muhammad M. Bashir's co-authors include Victoria P. Werth, Joel Rosenbloom, Jouni Uitto, J. Rosenbloom, William R. Abrams, Meena Sharma, Monica Sharma, Veli‐Matti Kähäri, Yoshihide Tsujimoto and Michael Fazio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Muhammad M. Bashir

58 papers receiving 1.8k 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 M. Bashir United States 27 648 565 334 279 277 61 1.9k
Aarne Oikarinen Finland 31 572 0.9× 390 0.7× 173 0.5× 227 0.8× 761 2.7× 80 2.5k
Carmelo Mavilia Italy 27 572 0.9× 284 0.5× 584 1.7× 135 0.5× 138 0.5× 49 2.3k
Karin Stenderup Denmark 18 1.4k 2.2× 216 0.4× 351 1.1× 269 1.0× 190 0.7× 32 3.5k
Sun U. Song South Korea 34 1.3k 2.1× 218 0.4× 344 1.0× 191 0.7× 106 0.4× 92 3.4k
Reza I. Bashey United States 30 642 1.0× 339 0.6× 136 0.4× 300 1.1× 236 0.9× 61 2.7k
Anie Philip Canada 27 1.2k 1.8× 126 0.2× 275 0.8× 219 0.8× 115 0.4× 63 2.5k
J. Labat‐Robert France 26 529 0.8× 232 0.4× 126 0.4× 133 0.5× 233 0.8× 107 1.8k
Cinzia Marchese Italy 30 1.3k 2.0× 166 0.3× 227 0.7× 97 0.3× 334 1.2× 100 2.7k
Alexander G. Marneros United States 22 980 1.5× 207 0.4× 276 0.8× 67 0.2× 439 1.6× 45 2.3k
Seunghee Cha United States 28 805 1.2× 443 0.8× 666 2.0× 336 1.2× 76 0.3× 80 2.7k

Countries citing papers authored by Muhammad M. Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad M. Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad M. Bashir

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad M. Bashir. A scholar is included among the top collaborators of Muhammad M. Bashir 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 M. Bashir. Muhammad M. Bashir 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.
Li, Yubin, et al.. (2024). Keratinocyte derived extracellular vesicles mediated crosstalk between epidermis and dermis in UVB-induced skin inflammation. Cell Communication and Signaling. 22(1). 461–461. 6 indexed citations
2.
Vazquez, Thomas, Jay Patel, Muhammad M. Bashir, et al.. (2023). Plasmacytoid Dendritic Cells Are Not Major Producers of Type 1 IFN in Cutaneous Lupus: An In-Depth Immunoprofile of Subacute and Discoid Lupus. Journal of Investigative Dermatology. 144(6). 1262–1272.e7. 13 indexed citations
3.
Werth, Victoria P., S.M. Peña, Majid Zeidi, et al.. (2022). Safety and Efficacy of Lenabasum, a Cannabinoid Receptor Type 2 Agonist, in Patients with Dermatomyositis with Refractory Skin Disease: A Randomized Clinical Trial. Journal of Investigative Dermatology. 142(10). 2651–2659.e1. 37 indexed citations
4.
Maddukuri, Spandana, Jay Patel, Maria Wysocka, et al.. (2022). Cannabinoid type 2 receptor (CB2R) distribution in dermatomyositis skin and peripheral blood mononuclear cells (PBMCs) and in vivo effects of LenabasumTM. Arthritis Research & Therapy. 24(1). 12–12. 18 indexed citations
5.
Patel, Jay, Majid Zeidi, Maria Wysocka, et al.. (2021). Myeloid Dendritic Cells Are Major Producers of IFN-β in Dermatomyositis and May Contribute to Hydroxychloroquine Refractoriness. Journal of Investigative Dermatology. 141(8). 1906–1914.e2. 20 indexed citations
6.
Li, Yubin, Christina E. Bax, Jay Patel, et al.. (2021). Plasma-derived DNA containing-extracellular vesicles induce STING-mediated proinflammatory responses in dermatomyositis. Theranostics. 11(15). 7144–7158. 34 indexed citations
7.
Bashir, Muhammad M., et al.. (2020). COVID-19 and Dental Education in Pakistan. Journal of College of Physicians And Surgeons Pakistan. 30(2). 115–117. 10 indexed citations
8.
Patel, Jay, et al.. (2020). 881 Antisynthetase syndrome and dermatomyositis immunophenotyping. Journal of Investigative Dermatology. 140(7). S116–S116. 1 indexed citations
9.
Tipu, Hamid Nawaz, et al.. (2018). Significance of Testing Anti-Thyroid Autoantibodies in Patients with Deranged Thyroid Profile. Journal of Thyroid Research. 2018. 1–5. 19 indexed citations
10.
Bashir, Muhammad M.. (2018). CAR T CELLS – GET OWN CELLS TO TREAT CANCERS. 28(4).
11.
Khurshid, Ayesha, et al.. (2017). IMMUNOPHENOTYPING PATTERN IN MIXED PHENOTYPE ACUTE LEUKAEMIAS. 67(6).
12.
Tipu, Hamid Nawaz & Muhammad M. Bashir. (2017). PREVALENCE OF HUMAN LEUKOCYTE ANTIGEN (HLA) B27 AMONG PATIENTS OF SPONDYLOARTHROPATHIES REFERRED TO A TERTIARY CARE CENTER. 67(6). 1 indexed citations
13.
Bashir, Muhammad M., et al.. (2017). Quinacrine Suppresses Tumor Necrosis Factor-α and IFN-α in Dermatomyositis and Cutaneous Lupus Erythematosus. Journal of Investigative Dermatology Symposium Proceedings. 18(2). S57–S63. 26 indexed citations
14.
Bashir, Muhammad M., Meena Sharma, & Victoria P. Werth. (2008). UVB and Proinflammatory Cytokines Synergistically Activate TNF-α Production in Keratinocytes through Enhanced Gene Transcription. Journal of Investigative Dermatology. 129(4). 994–1001. 118 indexed citations
15.
Eid, Hani O., et al.. (2007). Bicycle-related injuries: a prospective study of 200 patients.. PubMed. 48(10). 884–6. 22 indexed citations
17.
Werth, Victoria P., Muhammad M. Bashir, & Wei Zhang. (2004). Photosensitivity in Rheumatic Diseases. Journal of Investigative Dermatology Symposium Proceedings. 9(1). 57–63. 27 indexed citations
18.
Kucich, Umberto, William R. Abrams, Muhammad M. Bashir, et al.. (1998). Signaling Pathway by which TGF-β1 Increases Expression of Latent TGF-β Binding Protein-2 at the Transcriptional Level. Connective Tissue Research. 37(3-4). 263–276. 23 indexed citations
19.
Rosenbloom, Joel, Muhammad M. Bashir, Helena Yeh, et al.. (1991). Regulation of Elastin Gene Expressiona. Annals of the New York Academy of Sciences. 624(1). 116–136. 44 indexed citations
20.
Fazio, Michael, Veli‐Matti Kähäri, Muhammad M. Bashir, et al.. (1990). Regulation of Elastin Gene Expression: Evidence for Functional Promoter Activity in the 5′-Flanking Region of the Human Gene. Journal of Investigative Dermatology. 94(2). 191–196. 40 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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