Xiao Ni
- Psychiatry and Mental health top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Urology top 2%
- Clinical Psychology top 10%
- Molecular Biology
- Co-authors
- Raymond C. RosenAndre B. AraujoKerstin AllenHao Helen ZhangDaowen ZhangDarius A. PaduchGerald BrockShehzad Basaria
- Topics
- Sexual function and dysfunction studies (15 papers)Hormonal and reproductive studies (13 papers)Sexuality, Behavior, and Technology (7 papers)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Xiao Ni
33 papers receiving 781 citations
Peers
Comparison fields: 5 of 83
- Psychiatry and Mental health 455
- Endocrinology, Diabetes and Metabolism 400
- Urology 226
- Clinical Psychology 130
- Molecular Biology 97
Countries citing papers authored by Xiao Ni
This map shows the geographic impact of Xiao 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 Xiao Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Ni more than expected).
Fields of papers citing papers by Xiao Ni
This network shows the impact of papers produced by Xiao 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 Xiao Ni. The network helps show where Xiao Ni may publish in the future.
Co-authorship network of co-authors of Xiao Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Ni. A scholar is included among the top collaborators of Xiao Ni 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 Xiao Ni. Xiao Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | Longitudinal evaluation of optical coherence tomography and color fundus photography over 2 year follow up in patients with RLBP1 retinitis pigmentosa | 0 |
| 5 | Cross-sectional evaluation of patient-reported outcomes (PROs) in patients with RLBP1 retinitis pigmentosa enrolled in a Natural History Study | 1 |
| 6 | 17 | |
| 7 | 49 | |
| 8 | 13 | |
| 9 | 77 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | 39 | |
| 20 | 43 |
About Xiao Ni
Xiao Ni is a scholar working on Psychiatry and Mental health, Endocrinology, Diabetes and Metabolism and Urology, having authored 34 papers that have together received 797 indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (15 papers), Hormonal and reproductive studies (13 papers) and Sexuality, Behavior, and Technology (7 papers). The work is most often cited by research in Urology (226 citations), Psychiatry and Mental health (455 citations) and Endocrinology, Diabetes and Metabolism (400 citations). Xiao Ni has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Raymond C. Rosen, Andre B. Araujo, Kerstin Allen, Hao Helen Zhang, Daowen Zhang, Darius A. Paduch, Gerald Brock, Shehzad Basaria, Craig F. Donatucci and Darell Heiselman. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biometrics and The Journal of Urology.
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.