Muhammad Abbas

973 citations
59 papers · 680 indexed · h-index 16

Impact in

Papers in

Muhammad Abbas

51 papers receiving 665 citations

Peers

Muhammad Abbas
Comparison fields: 5 of 108
  • Geometry and Topology 96
  • Pharmaceutical Science 61
  • Applied Mathematics 82
  • Molecular Medicine 25
  • Complementary and alternative medicine 41
Replace Yoshifumi Takeda with:
Yoshifumi Takeda Japan
John A. Hill United States
Yasser Alraey Saudi Arabia
Mohd Danishuddin India
Wenya Ding China
Mariane Cajubá de Britto Lira Nogueira Brazil
Vijay Soni India
Ahmed Al Saqr Saudi Arabia
Mohammed W. Al-Rabia Saudi Arabia
Ricardo José Alves Brazil
Muhammad Abbas relative to Yoshifumi Takeda Japan Yoshifumi Takeda's profile →
Citations per field
00.5×10×16.1×
Yoshifumi Takeda · 1×
Citations per year

Countries citing papers authored by Muhammad Abbas

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Abbas, 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 Abbas Line = papers co-authored together Muhammad Abbas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 202419
4 20241
5 202349
6 20230
7 202315
8 20232
9 20231
10 20232
11 20235
12 20230
13 202214
14 202210
15 20222
16 202227
17 202220
18 202232
19 202235
20 202120

About Muhammad Abbas

Muhammad Abbas is a scholar working on Geometry and Topology, Pharmaceutical Science, Applied Mathematics, Analytical Chemistry and Applied Microbiology and Biotechnology, having authored 59 papers that have together received 680 indexed citations. Recurring topics across this work include Analytic and geometric function theory (13 papers), Holomorphic and Operator Theory (8 papers), vaccines and immunoinformatics approaches (6 papers), Drug Solubulity and Delivery Systems (5 papers), Differential Equations and Boundary Problems (5 papers), Analytical Methods in Pharmaceuticals (4 papers), Advanced Drug Delivery Systems (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Geometry and Topology (96 citations), Pharmaceutical Science (61 citations), Applied Mathematics (82 citations), Molecular Medicine (25 citations) and Complementary and alternative medicine (41 citations). Muhammad Abbas has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Muhammad Arif, Kanwal Khan, Khurshid Jalal, Saeed Ahmad Khan, Reaz Uddin, David G. Watson, Fazli Khuda, Sher Afzal Khan, Omar Barukab and Zarrin Basharat. Their work appears in journals such as Symmetry, Arabian Journal of Chemistry, Scientific Reports, Frontiers in Pharmacology and Advanced Powder Technology.

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