Mazhar Khan

897 citations
15 papers · 532 indexed · h-index 10
Topics
SARS-CoV-2 and COVID-19 Research (5 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers)Computational Drug Discovery Methods (5 papers)
Partner nations
ChinaPakistanKuwait

In The Last Decade

Mazhar Khan

15 papers receiving 529 citations

Peers

Mazhar Khan
Comparison fields: 5 of 77
  • Molecular Biology 331
  • Infectious Diseases 248
  • Computational Theory and Mathematics 133
  • Immunology 89
  • Radiology, Nuclear Medicine and Imaging 78
Replace Khadijeh Ahmadi with:
Khadijeh Ahmadi Iran
Nabarun Chandra Das India
Manas Ranjan Dikhit India
Israr Fatima China
Rupal Ojha India
Pratik Ghosh India
Ritwik Patra India
Prasanta Patra India
Katarzyna Janowska United States
Kazi Faizul Azim Bangladesh
Mazhar Khan relative to Khadijeh Ahmadi Iran Khadijeh Ahmadi's profile →
Citations per field
00.5×
Khadijeh Ahmadi · 1×
Citations per year

Countries citing papers authored by Mazhar Khan

Since Specialization
Citations

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

Fields of papers citing papers by Mazhar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mazhar Khan

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 5
2 4
3 3
4 4
5 25
6 11
7 55
8 83
9 75
10
Molecular modeling of the multiple-drug resistant protein (MRP7) and pharmacophore modelling based virtual screening to identify novel drugs against cancer
1
11 86
12 34
13 15
14 119
15 12

About Mazhar Khan

Mazhar Khan is a scholar working on Reproductive Medicine, Infectious Diseases and Computational Theory and Mathematics, having authored 15 papers that have together received 532 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Infectious Diseases (248 citations), Computational Theory and Mathematics (133 citations) and Molecular Biology (331 citations). Mazhar Khan has collaborated with scholars based in China, Pakistan and Kuwait. Frequent co-authors include Dong‐Qing Wei, Abbas Khan, Syed Shujait Ali, Shoaib Saleem, Arif Ali, Asim Ali, Shahzeb Khan, Muhammad Tahir Khan, Muhammad Suleman and Abbas Khan. Their work appears in journals such as Scientific Reports, Gene and Biomedicine & Pharmacotherapy.

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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