Hua Ni
Impact in
- Reproductive Medicine top 2%
- Endometriosis Research and Treatment
- Immunology top 5%
- Reproductive System and Pregnancy
Papers in
- Immunology 24
- Reproductive System and Pregnancy 22
- Co-authors
- Zeng‐Ming Yang (14 shared papers)Xinghong Ma (11 shared papers)Nai‐Zheng Ding (8 shared papers)Wei Lei (6 shared papers)Jilong Liu (3 shared papers)Gang Ren (3 shared papers)Shijun Hu (3 shared papers)Tong Sun (3 shared papers)
- Journals
- Biology of Reproduction (4 papers)Theriogenology (3 papers)Journal of Biological Chemistry (3 papers)Reproduction (3 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hua Ni
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Reproductive Medicine 317
- Immunology 486
- Obstetrics and Gynecology 165
- Cancer Research 176
- Agronomy and Crop Science 96
Countries citing papers authored by Hua Ni
This map shows the geographic impact of Hua Ni'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 Hua Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Ni more than expected).
Fields of papers citing papers by Hua Ni
This network shows the impact of papers produced by Hua Ni. 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 Hua Ni. The network helps show where Hua Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Ni, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 182 | |
| 2 | 2002 | 77 | |
| 3 | 2016 | 61 | |
| 4 | 2012 | 60 | |
| 5 | 2006 | 56 | |
| 6 | 2006 | 45 | |
| 7 | 2018 | 43 | |
| 8 | 2003 | 41 | |
| 9 | 2002 | 41 | |
| 10 | 2003 | 34 | |
| 11 | 2005 | 33 | |
| 12 | 2020 | 31 | |
| 13 | 2002 | 29 | |
| 14 | 2018 | 23 | |
| 15 | 2015 | 22 | |
| 16 | 2004 | 21 | |
| 17 | 2019 | 21 | |
| 18 | 2013 | 19 | |
| 19 | 2011 | 17 | |
| 20 | 2006 | 15 |
About Hua Ni
Hua Ni is a scholar working on Immunology, Molecular Biology, Genetics, Reproductive Medicine and Pharmacology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (22 papers), Endometriosis Research and Treatment (11 papers), Estrogen and related hormone effects (9 papers), Reproductive Physiology in Livestock (6 papers), Inflammatory mediators and NSAID effects (5 papers), Pregnancy and preeclampsia studies (4 papers), Genetic and Kidney Cyst Diseases (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Reproductive Medicine (317 citations), Immunology (486 citations), Obstetrics and Gynecology (165 citations), Cancer Research (176 citations) and Agronomy and Crop Science (96 citations). Hua Ni has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zeng‐Ming Yang, Xinghong Ma, Nai‐Zheng Ding, Wei Lei, Jilong Liu, Gang Ren, Shijun Hu, Tong Sun, Zhen‐Ao Zhao and Ren‐Wei Su. Their work appears in journals such as Biology of Reproduction, Theriogenology, Journal of Biological Chemistry, Reproduction and Journal of Cellular Physiology.
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.