M. Qaiser Fatmi

810 citations
35 papers · 674 · h-index 14

Impact in

    • Synthesis and biological activity
    • Click Chemistry and Applications
    • Synthesis and Characterization of Heterocyclic Compounds
    • Carbohydrate Chemistry and Synthesis
    • Computational Drug Discovery Methods

Papers in

    • Enzyme function and inhibition 3
    • Microbial Metabolic Engineering and Bioproduction 3
    • Synthesis and biological activity 6
    • Surfactants and Colloidal Systems 2

M. Qaiser Fatmi

35 papers receiving 666 citations

Peers

M. Qaiser Fatmi
Comparison fields: 5 of 92
  • Organic Chemistry 254
  • Computational Theory and Mathematics 111
  • Endocrinology, Diabetes and Metabolism 94
  • Pharmacology 39
  • Pharmacology 70
Replace Ana Carolina Rennó Sodero with:
Ana Carolina Rennó Sodero Brazil
Mehreen Ghufran Pakistan
Temitope Isaac Adelusi Nigeria
Rajveer Singh India
Sajda Ashraf Pakistan
Haihong Huang China
Cyprian O. Ogbu United States
Paul Awolade South Africa
Sachin D. Shinde India
Banoth Karan Kumar India
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Citations per field
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Citations per year

Countries citing papers authored by M. Qaiser Fatmi

Since Specialization
Citations

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

Fields of papers citing papers by M. Qaiser Fatmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015152
2 201583
3 201072
4 201642
5 201536
6 201036
7 202126
8 201321
9 202117
10 201517
11 201816
12 201915
13 201615
14 201413
15 201913
16 201912
17 201811
18 202110
19 202310
20 20158

About M. Qaiser Fatmi

M. Qaiser Fatmi is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Pharmacology and Spectroscopy, having authored 35 papers that have together received 674 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Enzyme Structure and Function (3 papers), Enzyme function and inhibition (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Surfactants and Colloidal Systems (2 papers) and Environmental Toxicology and Ecotoxicology (2 papers). The work is most often cited by research in Organic Chemistry (254 citations), Computational Theory and Mathematics (111 citations), Endocrinology, Diabetes and Metabolism (94 citations), Pharmacology (39 citations) and Pharmacology (70 citations). M. Qaiser Fatmi has collaborated with scholars based in Pakistan, United States and Saudi Arabia. Frequent co-authors include Muhammad Taha, Khalid Mohammed Khan, Syahrul Imran, Nor Hadiani Ismail, Chia‐en A. Chang, M. Iqbal Choudhary, Atia‐tul Wahab, Salima Lalani, Salman Siddiqui and Serdar Durdağı. Their work appears in journals such as PLoS ONE, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Biomolecules and Medicinal Chemistry Research.

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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