Muhammad Umer
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Advanced biosensing and bioanalysis techniques 12
- Epigenetics and DNA Methylation 5
-
- SARS-CoV-2 detection and testing 4
- Co-authors
- Muhammad J. A. Shiddiky (22 shared papers)Nam‐Trung Nguyen (14 shared papers)Md. Nazmul Islam (3 shared papers)Lena Gorgannezhad (2 shared papers)Zdenko Herceg (1 shared paper)Mostafa Kamal Masud (2 shared papers)Yusuke Yamauchi (2 shared papers)Md. Shahriar A. Hossain (2 shared papers)
- Journals
- The Analyst (7 papers)Virus Research (2 papers)Virology Journal (2 papers)Cancers (1 paper)Biosensors and Bioelectronics (1 paper)
- Partner nations
- AustraliaPakistanUnited States
In The Last Decade
Muhammad Umer
37 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 90
- Cancer Research 184
- Hepatology 102
- Molecular Biology 668
- Biomedical Engineering 279
- Pharmaceutical Science 46
Countries citing papers authored by Muhammad Umer
This map shows the geographic impact of Muhammad Umer'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 Umer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umer more than expected).
Fields of papers citing papers by Muhammad Umer
This network shows the impact of papers produced by Muhammad Umer. 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 Umer. The network helps show where Muhammad Umer may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Umer, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 266 | |
| 2 | 2020 | 174 | |
| 3 | 2019 | 132 | |
| 4 | 2018 | 121 | |
| 5 | 2016 | 117 | |
| 6 | 2021 | 92 | |
| 7 | 2020 | 79 | |
| 8 | 2018 | 67 | |
| 9 | 2021 | 63 | |
| 10 | 2012 | 58 | |
| 11 | 2020 | 46 | |
| 12 | 2018 | 44 | |
| 13 | 2018 | 40 | |
| 14 | 2022 | 31 | |
| 15 | 2014 | 29 | |
| 16 | 2018 | 29 | |
| 17 | 2021 | 29 | |
| 18 | 2018 | 24 | |
| 19 | 2021 | 20 | |
| 20 | 2019 | 18 |
About Muhammad Umer
Muhammad Umer is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Epidemiology and Polymers and Plastics, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (12 papers), Epigenetics and DNA Methylation (5 papers), SARS-CoV-2 detection and testing (4 papers), Biosensors and Analytical Detection (4 papers), Cervical Cancer and HPV Research (3 papers), Polyomavirus and related diseases (3 papers), Cancer Genomics and Diagnostics (2 papers) and Advanced Nanomaterials in Catalysis (2 papers). The work is most often cited by research in Cancer Research (184 citations), Hepatology (102 citations), Molecular Biology (668 citations), Biomedical Engineering (279 citations) and Pharmaceutical Science (46 citations). Muhammad Umer has collaborated with scholars based in Australia, Pakistan and United States. Frequent co-authors include Muhammad J. A. Shiddiky, Nam‐Trung Nguyen, Md. Nazmul Islam, Lena Gorgannezhad, Zdenko Herceg, Mostafa Kamal Masud, Yusuke Yamauchi, Md. Shahriar A. Hossain, Narshone Soda and David Victor Thiel. Their work appears in journals such as The Analyst, Virus Research, Virology Journal, Cancers and Biosensors and Bioelectronics.
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.