Muhammad Ishtiaq
- Geometry and Topology top 2%
- Graph theory and applications 18
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- Computational Drug Discovery Methods 16
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- Neurogenetic and Muscular Disorders Research 2
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- Free Radicals and Antioxidants 8
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- Amyotrophic Lateral Sclerosis Research 2
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- Graphene research and applications 2
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- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- Co-authors
- Muhammad Kamran SiddiquiAbdul RaufMehwish Hussain MuhammadMichael J. StrongKathryn VolkeningDanae Campos‐MeloXiujun ZhangM. Irfan Uddin
- Journals
- Polycyclic aromatic compounds (15 papers)PLoS ONE (1 paper)Hepatology International (1 paper)
- Partner nations
- PakistanChinaUnited States
In The Last Decade
Muhammad Ishtiaq
28 papers receiving 468 citations
Peers
Comparison fields: 5 of 71
- Geometry and Topology 244
- Computational Theory and Mathematics 250
- Genetics 55
- Organic Chemistry 133
- Neurology 69
Countries citing papers authored by Muhammad Ishtiaq
This map shows the geographic impact of Muhammad Ishtiaq'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 Ishtiaq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Ishtiaq more than expected).
Fields of papers citing papers by Muhammad Ishtiaq
This network shows the impact of papers produced by Muhammad Ishtiaq. 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 Ishtiaq. The network helps show where Muhammad Ishtiaq may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Ishtiaq, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 0 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 91 | |
| 14 | 2020 | 29 | |
| 15 | 2020 | 39 | |
| 16 | 2020 | 13 | |
| 17 | 2018 | 3 | |
| 18 | 2016 | 41 | |
| 19 | 2014 | 52 | |
| 20 | 2014 | 34 |
About Muhammad Ishtiaq
Muhammad Ishtiaq is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Organic Chemistry, having authored 30 papers that have together received 472 indexed citations. Recurring topics across this work include Graph theory and applications (18 papers), Computational Drug Discovery Methods (16 papers), Free Radicals and Antioxidants (8 papers), Graphene research and applications (2 papers), Epigenetics and DNA Methylation (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Geometry and Topology (244 citations), Computational Theory and Mathematics (250 citations) and Genetics (55 citations). Muhammad Ishtiaq has collaborated with scholars based in Pakistan, China and United States. Frequent co-authors include Muhammad Kamran Siddiqui, Abdul Rauf, Mehwish Hussain Muhammad, Michael J. Strong, Kathryn Volkening, Danae Campos‐Melo, Xiujun Zhang, M. Irfan Uddin, Cristian A. Droppelmann and Furqan Aziz. Their work appears in journals such as Polycyclic aromatic compounds, PLoS ONE, Hepatology International, Physica A Statistical Mechanics and its Applications and Current Molecular 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.