Ghulam Mustafa

26 papers receiving 863 citations

Hit Papers

Molecular Dynamics Simulations in Drug Discovery and Phar...20202026202220242020100200300

Peers

Ghulam Mustafa
Comparison fields: 5 of 119
  • Molecular Biology 381
  • Computational Theory and Mathematics 165
  • Organic Chemistry 136
  • Materials Chemistry 128
  • Plant Science 101
Replace Yuan-Ling Xia with:
Yuan-Ling Xia China
Olujide O. Olubiyi Nigeria
Colin G. Ferguson United States
Parthiban Marimuthu Finland
Nidhi Singh India
M. Yu. Lobanov Russia
Nguyen Thanh Nguyen United States
Delaram Ghoreishi United States
K. Gunasekaran India
Kunqian Yu China
Ghulam Mustafa relative to Yuan-Ling Xia China Yuan-Ling Xia's profile →
Citations per field
00.5×4.8×
Yuan-Ling Xia · 1×
Citations per year

Countries citing papers authored by Ghulam Mustafa

Since Specialization
Citations

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

Fields of papers citing papers by Ghulam Mustafa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghulam Mustafa

This figure shows the co-authorship network connecting the top 25 collaborators of Ghulam Mustafa. A scholar is included among the top collaborators of Ghulam Mustafa 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 Ghulam Mustafa. Ghulam Mustafa 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
#WorkIndexed citations
1 0
2 0
3 0
4 33
5 7
6 47
7
Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Developmentbreakdown →
372
8 20
9 28
10 12
11 9
12 3
13 34
14 1
15 21
16 6
17 1
18 8
19
Sterols and Sterol Glycosides from Cuscuta Reflexa
5
20
Long chain esters of oleane series from Cuscuta reflexa
2

About Ghulam Mustafa

Ghulam Mustafa is a scholar working on Molecular Biology, Plant Science and Biomaterials, having authored 32 papers that have together received 893 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (7 papers), Phytochemistry and Biological Activities (7 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (165 citations), Pharmacology (88 citations) and Molecular Biology (381 citations). Ghulam Mustafa has collaborated with scholars based in Germany, Pakistan and United States. Frequent co-authors include Rebecca C. Wade, Outi M. H. Salo‐Ahen, Sultan Muhammad, Hajira Tahir, Kalaimathy Singaravelu, Aleksei Kabedev, Rajendra Bhadane, Maija Lahtela‐Kakkonen, Parthiban Marimuthu and Ariane Nunes‐Alves. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Medicine.

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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