Muhammad Ishfaq
Impact in
- Microbiology top 0.5%
- Microbial infections and disease research
- Molecular Medicine top 1%
- Curcumin's Biomedical Applications
Papers in
-
- Genomics, phytochemicals, and oxidative stress 15
- Microbiology 31
- Microbial infections and disease research 29
- Co-authors
- Jichang Li (37 shared papers)Xiuying Zhang (28 shared papers)Xiaoqi Sun (11 shared papers)Chunli Chen (17 shared papers)Sihong Li (12 shared papers)Syed Waqas Ali Shah (18 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 Ishfaq
145 papers receiving 4.1k citations
Muhammad Ishfaq's Hit Papers
Peers
Comparison fields: 5 of 159
- Microbiology 510
- Molecular Medicine 306
- Animal Science and Zoology 443
- Pharmacology 289
- Neurology 223
Countries citing papers authored by Muhammad Ishfaq
This map shows the geographic impact of Muhammad 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 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 Ishfaq more than expected).
Fields of papers citing papers by Muhammad Ishfaq
This network shows the impact of papers produced by Muhammad 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 Ishfaq. The network helps show where Muhammad Ishfaq may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad 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 161 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 | 185 |
| 2 | 2019 | 117 | |
| 3 | 2017 | 112 | |
| 4 | 2019 | 101 | |
| 5 | 2017 | 89 | |
| 6 | 2019 | 87 | |
| 7 | 2022 | 83 | |
| 8 | 2017 | 82 | |
| 9 | 2019 | 79 | |
| 10 | 2018 | 79 | |
| 11 | 2019 | 78 | |
| 12 | 2017 | 74 | |
| 13 | 2022 | 71 | |
| 14 | 2020 | 66 | |
| 15 | 2020 | 62 | |
| 16 | 2018 | 61 | |
| 17 | 2017 | 61 | |
| 18 | 2021 | 60 | |
| 19 | 2020 | 58 | |
| 20 | 2020 | 55 |
About Muhammad Ishfaq
Muhammad Ishfaq is a scholar working on Molecular Biology, Microbiology, Epidemiology, Immunology and Plant Science, having authored 161 papers that have together received 4.2k 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), Antibiotic Resistance in Bacteria (11 papers), Computational Drug Discovery Methods (11 papers), Mycobacterium research and diagnosis (10 papers), Mycotoxins in Agriculture and Food (9 papers) and Curcumin's Biomedical Applications (9 papers). The work is most often cited by research in Microbiology (510 citations), Molecular Medicine (306 citations), Animal Science and Zoology (443 citations), Pharmacology (289 citations) and Neurology (223 citations). Muhammad Ishfaq has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Jichang Li, Xiuying Zhang, Xiaoqi Sun, Chunli Chen, Sihong Li, Syed Waqas Ali Shah, 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.