Muhammad Waqas
- Pollution top 1%
- Heavy metals in environment 8
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- Toxic Organic Pollutants Impact 5
- Analytical Chemistry top 2%
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- Computational Drug Discovery Methods 17
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- vaccines and immunoinformatics approaches 9
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- Glioma Diagnosis and Treatment 8
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- Antibiotic Resistance in Bacteria 7
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- SARS-CoV-2 and COVID-19 Research 7
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- Natural Antidiabetic Agents Studies 6
- Co-authors
- Sardar KhanZahir QamarAnwarzeb KhanMuhammad Amjad KhanKifayatullah KhanChao CaiAhmed Al‐HarrasiAjmal Khan
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)The Science of The Total Environment (2 papers)
- Partner nations
- PakistanSaudi ArabiaOman
In The Last Decade
Muhammad Waqas
124 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Pollution 835
- Health, Toxicology and Mutagenesis 478
- Analytical Chemistry 257
- Radiological and Ultrasound Technology 135
- Industrial and Manufacturing Engineering 170
Countries citing papers authored by Muhammad Waqas
This map shows the geographic impact of Muhammad Waqas'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 Waqas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Waqas more than expected).
Fields of papers citing papers by Muhammad Waqas
This network shows the impact of papers produced by Muhammad Waqas. 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 Waqas. The network helps show where Muhammad Waqas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Waqas, 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 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 35 | |
| 17 | 2021 | 23 | |
| 18 | 2017 | 5 | |
| 19 | Neurosurgery training in Pakistan: Follow-up survey and critical analysis of National Training Programmes. | 2016 | 5 |
| 20 | Seroprevalence of ovine brucellosis by Modified Rose Bengal test and ELISA in Southern Punjab, Pakistan. | 2013 | 8 |
About Muhammad Waqas
Muhammad Waqas is a scholar working on Molecular Medicine, Pollution and Computational Theory and Mathematics, having authored 146 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), vaccines and immunoinformatics approaches (9 papers), Glioma Diagnosis and Treatment (8 papers), Heavy metals in environment (8 papers), Antibiotic Resistance in Bacteria (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Natural Antidiabetic Agents Studies (6 papers) and Toxic Organic Pollutants Impact (5 papers). The work is most often cited by research in Pollution (835 citations), Health, Toxicology and Mutagenesis (478 citations) and Analytical Chemistry (257 citations). Muhammad Waqas has collaborated with scholars based in Pakistan, Saudi Arabia and Oman. Frequent co-authors include Sardar Khan, Zahir Qamar, Anwarzeb Khan, Muhammad Amjad Khan, Kifayatullah Khan, Chao Cai, Ahmed Al‐Harrasi, Ajmal Khan, Brian J. Reid and Qing Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Science of The Total Environment.
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.