Sarwat Fatima
- Molecular Biology
- Cancer Research top 10%
- Oncology
- Epidemiology
- Pharmacology top 10%
- Co-authors
- Zhaoxiang BianHiu Yee KwanNikki P. LeeXianjing HuMinting ChenChengyuan LinHoi Leong Xavier WongJohn M. Luk
- Topics
- Cancer-related gene regulation (6 papers)Wnt/β-catenin signaling in development and cancer (5 papers)Kruppel-like factors research (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchOncogene
In The Last Decade
Sarwat Fatima
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 610
- Cancer Research 226
- Oncology 142
- Epidemiology 139
- Pharmacology 110
Countries citing papers authored by Sarwat Fatima
This map shows the geographic impact of Sarwat Fatima'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 Sarwat Fatima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarwat Fatima more than expected).
Fields of papers citing papers by Sarwat Fatima
This network shows the impact of papers produced by Sarwat Fatima. 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 Sarwat Fatima. The network helps show where Sarwat Fatima may publish in the future.
Co-authorship network of co-authors of Sarwat Fatima
This figure shows the co-authorship network connecting the top 25 collaborators of Sarwat Fatima. A scholar is included among the top collaborators of Sarwat Fatima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarwat Fatima. Sarwat Fatima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 25 | |
| 3 | 0 | |
| 4 | 110 | |
| 5 | 117 | |
| 6 | 47 | |
| 7 | 21 | |
| 8 | 101 | |
| 9 | Histopathological and immunohistochemical studies for the pathogenesis of a low pathogenicity H9 avian influenza virus in experimentally infected commercial broilers. | 9 |
| 10 | 52 | |
| 11 | Hepatitis B vaccination status of health care workers and their antiHBs titres - A cross sectional study | 1 |
| 12 | 15 | |
| 13 | To assess the severity of dengue fever in patients attending a tertiary careteaching hospital using WHO grading system | 1 |
| 14 | 47 | |
| 15 | 44 | |
| 16 | 14 | |
| 17 | 3 | |
| 18 | 14 | |
| 19 | 50 | |
| 20 | 13 |
About Sarwat Fatima
Sarwat Fatima is a scholar working on Microbiology, Applied Microbiology and Biotechnology and Molecular Biology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related gene regulation (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Kruppel-like factors research (4 papers). The work is most often cited by research in Cancer Research (226 citations), Molecular Biology (610 citations) and Pharmacology (75 citations). Sarwat Fatima has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Zhaoxiang Bian, Hiu Yee Kwan, Nikki P. Lee, Xianjing Hu, Minting Chen, Chengyuan Lin, Hoi Leong Xavier Wong, John M. Luk, Haitao Xiao and Chunhua Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.
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.