Sha Mao
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Brucella: diagnosis, epidemiology, treatment 3
- Co-authors
- Qi Chen (1 shared paper)Jie Qiao (3 shared papers)Qi Zhang (1 shared paper)Zhang Cy (1 shared paper)Weihong Hu (3 shared papers)Feng Zhang (1 shared paper)Hao Li (1 shared paper)Ke Zen (1 shared paper)
In The Last Decade
Sha Mao
16 papers receiving 346 citations
Peers
Comparison fields: 5 of 73
- Reproductive Medicine 92
- Cancer Research 89
- Molecular Biology 152
- Public Health, Environmental and Occupational Health 48
- Hepatology 13
Countries citing papers authored by Sha Mao
This map shows the geographic impact of Sha Mao'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 Sha Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Mao more than expected).
Fields of papers citing papers by Sha Mao
This network shows the impact of papers produced by Sha Mao. 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 Sha Mao. The network helps show where Sha Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha Mao, 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 | 2014 | 142 | |
| 2 | 2012 | 135 | |
| 3 | 2013 | 35 | |
| 4 | 2014 | 12 | |
| 5 | 2024 | 6 | |
| 6 | 2014 | 3 | |
| 7 | Pilot feasibility research of Chinese version of kidney transplant questionnaire in recipients of living donor kidney transplantation. | 2015 | 3 |
| 8 | 2018 | 3 | |
| 9 | 2025 | 2 | |
| 10 | [Expression of PPARγ mRNA in granulosa cells and its correlation with clinical characteristics of polycystic ovary syndrome]. | 2013 | 2 |
| 11 | Relationship on Height and Inserted Length of Peripherally Inserted Central Catheter in Adult Patients | 2012 | 1 |
| 12 | 2017 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2016 | 1 | |
| 16 | Safety study of adjuvant chemotherapy with oxaliplatin and 5-Fu and CF after liver transplantation for hepatocellular carcinoma | 2013 | 1 |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Sha Mao
Sha Mao is a scholar working on Small Animals, Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases and Agronomy and Crop Science, having authored 18 papers that have together received 349 indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (3 papers), Ovarian function and disorders (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Biosensors and Analytical Detection (2 papers), Animal Disease Management and Epidemiology (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Reproductive Medicine (92 citations), Cancer Research (89 citations), Molecular Biology (152 citations), Public Health, Environmental and Occupational Health (48 citations) and Hepatology (13 citations). Sha Mao has collaborated with scholars based in China and Taiwan. Frequent co-authors include Qi Chen, Jie Qiao, Qi Zhang, Zhang Cy, Weihong Hu, Feng Zhang, Hao Li, Ke Zen, Xianzhong Yan and Bo Sun. Their work appears in journals such as Applied Microbiology and Biotechnology, Journal of Clinical Microbiology, BioMed Research International, BMC Microbiology and Journal of Power Sources.
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.