Sha Han
Impact in
-
- Sperm and Testicular Function
-
- Cancer-related molecular mechanisms research
Papers in
-
- Reproductive Biology and Fertility 9
-
- Renal and related cancers 3
- Co-authors
- Guoan Zhang (4 shared papers)Wen Cui (3 shared papers)Zheng Li (8 shared papers)Xingjie Wang (2 shared papers)Kai Dong (2 shared papers)Dongliang Xu (1 shared paper)Chenyi Jiang (1 shared paper)Xiaohai Wang (1 shared paper)
- Journals
- Reproductive Biology and Endocrinology (2 papers)Reproductive BioMedicine Online (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Journal of Cellular Biochemistry (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaPortugalKazakhstan
In The Last Decade
Sha Han
24 papers receiving 233 citations
Peers
Comparison fields: 5 of 72
- Reproductive Medicine 37
- Cancer Research 58
- Molecular Biology 114
- Endocrinology, Diabetes and Metabolism 25
- Immunology 28
Countries citing papers authored by Sha Han
This map shows the geographic impact of Sha Han'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 Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Han more than expected).
Fields of papers citing papers by Sha Han
This network shows the impact of papers produced by Sha Han. 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 Han. The network helps show where Sha Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha Han, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 42 | |
| 2 | 2013 | 22 | |
| 3 | 2023 | 21 | |
| 4 | 2017 | 21 | |
| 5 | 2019 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2024 | 11 | |
| 8 | 2016 | 11 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 3 |
About Sha Han
Sha Han is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine, Surgery and Genetics, having authored 24 papers that have together received 238 indexed citations. Recurring topics across this work include Sperm and Testicular Function (9 papers), Reproductive Biology and Fertility (9 papers), Renal and related cancers (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Phagocytosis and Immune Regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Electrochemical Analysis and Applications (2 papers) and Seed Germination and Physiology (2 papers). The work is most often cited by research in Reproductive Medicine (37 citations), Cancer Research (58 citations), Molecular Biology (114 citations), Endocrinology, Diabetes and Metabolism (25 citations) and Immunology (28 citations). Sha Han has collaborated with scholars based in China, Portugal and Kazakhstan. Frequent co-authors include Guoan Zhang, Wen Cui, Zheng Li, Xingjie Wang, Kai Dong, Dongliang Xu, Chenyi Jiang, Xiaohai Wang, Xu Wang and Xinli Zhou. Their work appears in journals such as Reproductive Biology and Endocrinology, Reproductive BioMedicine Online, Evidence-based Complementary and Alternative Medicine, Journal of Cellular Biochemistry and International Journal of Biological Macromolecules.
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.