Muhammad Usama Ishfaq
Impact in
- Microbiology top 0.5%
- Microbial infections and disease research
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications
Papers in
- Microbiology 31
- Microbial infections and disease research 29
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- Antibiotic Resistance in Bacteria 11
- Co-authors
- Jichang Li (37 shared papers)Xiuying Zhang (28 shared papers)Xiaoqi Sun (11 shared papers)Chunli Chen (17 shared papers)Syed Waqas Ali Shah (18 shared papers)Sihong Li (12 shared papers)Jian Wang (13 shared papers)Zhiyong Wu (20 shared papers)
- Journals
- Poultry Science (15 papers)Frontiers in Pharmacology (14 papers)Ecotoxicology and Environmental Safety (7 papers)Frontiers in Veterinary Science (6 papers)Veterinary Research (4 papers)
- Partner nations
- ChinaPakistanSaudi Arabia
In The Last Decade
Muhammad Usama Ishfaq
151 papers receiving 4.3k citations
Muhammad Usama Ishfaq's Hit Papers
Peers
Comparison fields: 5 of 160
- Microbiology 526
- Molecular Medicine 308
- Animal Science and Zoology 454
- Pharmacology 296
- Neurology 242
Countries citing papers authored by Muhammad Usama Ishfaq
This map shows the geographic impact of Muhammad Usama Ishfaq'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 Usama Ishfaq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Usama Ishfaq more than expected).
Fields of papers citing papers by Muhammad Usama Ishfaq
This network shows the impact of papers produced by Muhammad Usama Ishfaq. 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 Usama Ishfaq. The network helps show where Muhammad Usama Ishfaq may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Usama Ishfaq, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A deep learning approach for brain tumor classification using MRI images Hit paper breakdown → | 2022 | 209 |
| 2 | 2019 | 119 | |
| 3 | 2017 | 117 | |
| 4 | 2019 | 102 | |
| 5 | 2017 | 91 | |
| 6 | 2019 | 90 | |
| 7 | 2022 | 87 | |
| 8 | 2017 | 84 | |
| 9 | 2018 | 81 | |
| 10 | 2019 | 80 | |
| 11 | 2019 | 78 | |
| 12 | 2022 | 78 | |
| 13 | 2017 | 74 | |
| 14 | 2020 | 68 | |
| 15 | 2021 | 66 | |
| 16 | 2017 | 61 | |
| 17 | 2018 | 61 | |
| 18 | 2020 | 61 | |
| 19 | 2020 | 60 | |
| 20 | 2023 | 58 |
About Muhammad Usama Ishfaq
Muhammad Usama Ishfaq is a scholar working on Microbiology, Molecular Medicine, Immunology, Pharmacology and Animal Science and Zoology, having authored 163 papers that have together received 4.3k indexed citations. Recurring topics across this work include Microbial infections and disease research (29 papers), Aquaculture disease management and microbiota (18 papers), Genomics, phytochemicals, and oxidative stress (15 papers), Computational Drug Discovery Methods (11 papers), Antibiotic Resistance in Bacteria (11 papers), Mycobacterium research and diagnosis (10 papers), Mycotoxins in Agriculture and Food (9 papers) and Toxoplasma gondii Research Studies (9 papers). The work is most often cited by research in Microbiology (526 citations), Molecular Medicine (308 citations), Animal Science and Zoology (454 citations), Pharmacology (296 citations) and Neurology (242 citations). Muhammad Usama Ishfaq has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Jichang Li, Xiuying Zhang, Xiaoqi Sun, Chunli Chen, Syed Waqas Ali Shah, Sihong Li, Jian Wang, Zhiyong Wu, Rui Li and Wanying Hu. Their work appears in journals such as Poultry Science, Frontiers in Pharmacology, Ecotoxicology and Environmental Safety, Frontiers in Veterinary Science and Veterinary 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.