Muhammad M. Bashir

58 papers receiving 1.8k citations

Peers

Muhammad M. Bashir
Comparison fields: 5 of 109
  • Dermatology 277
  • Immunology and Allergy 150
  • Genetics 565
  • Developmental Neuroscience 80
  • Rheumatology 279
Replace Carmelo Mavilia with:
Carmelo Mavilia Italy
R. Dover United Kingdom
Ladislas Robert France
Sun U. Song South Korea
Seunghee Lee South Korea
Heather Whetstone Canada
Anne Plonquet France
Karin Stenderup Denmark
Anie Philip Canada
Kuniko Kadoya United States
Muhammad M. Bashir relative to Carmelo Mavilia Italy Carmelo Mavilia's profile →
Citations per field
00.5×2.6×
Carmelo Mavilia · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Muhammad M. Bashir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad M. Bashir Line = papers co-authored together Muhammad M. Bashir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008134
2 1987127
3 1989120
4 2008118
5 1993111
6 199296
7 199670
8 199761
9
The reciprocal partners of both the t(14; 18) and the t(11; 14) translocations involved in B-cell neoplasms are rearranged by the same mechanism.
198856
10 198951
11 199051
12 199144
13 200141
14 199040
15 199440
16 202237
17 199537
18 201736
19 202134
20 200328

About Muhammad M. Bashir

Muhammad M. Bashir is a scholar working on Immunology, Rheumatology, Developmental Neuroscience, Dermatology and Immunology and Allergy, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Connective tissue disorders research (16 papers), T-cell and B-cell Immunology (7 papers), Inflammatory Myopathies and Dermatomyositis (6 papers), RNA Research and Splicing (5 papers), Immune Cell Function and Interaction (5 papers), Systemic Lupus Erythematosus Research (5 papers), Cell Adhesion Molecules Research (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Dermatology (277 citations), Immunology and Allergy (150 citations), Genetics (565 citations), Developmental Neuroscience (80 citations) and Rheumatology (279 citations). Muhammad M. Bashir has collaborated with scholars based in United States, Pakistan and Australia. Frequent 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 J. Rosenbloom. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Biological Chemistry, Connective Tissue Research, Novartis Foundation symposium and Biochemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026