Ying Ni
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 10%
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Charis EngGisela D. CymesClaudio GrosmanJessica L. MesterJoanne NgeowLamis YehiaMohammed S. OrloffLisa Rybicki
- Topics
- PI3K/AKT/mTOR signaling in cancer (20 papers)Cancer Genomics and Diagnostics (11 papers)RNA modifications and cancer (10 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Ying Ni
103 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.2k
- Cancer Research 434
- Oncology 305
- Genetics 277
- Endocrinology, Diabetes and Metabolism 222
Countries citing papers authored by Ying Ni
This map shows the geographic impact of Ying 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 Ying Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Ni more than expected).
Fields of papers citing papers by Ying Ni
This network shows the impact of papers produced by Ying 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 Ying Ni. The network helps show where Ying Ni may publish in the future.
Co-authorship network of co-authors of Ying Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Ni. A scholar is included among the top collaborators of Ying 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 Ying Ni. Ying 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 19 | |
| 14 | 15 | |
| 15 | 6 | |
| 16 | 18 | |
| 17 | 13 | |
| 18 | 22 | |
| 19 | 76 | |
| 20 | 29 |
About Ying Ni
Ying Ni is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 114 papers that have together received 2.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (20 papers), Cancer Genomics and Diagnostics (11 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Cancer Research (434 citations), Molecular Biology (1.2k citations) and Endocrinology, Diabetes and Metabolism (222 citations). Ying Ni has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Charis Eng, Gisela D. Cymes, Claudio Grosman, Jessica L. Mester, Joanne Ngeow, Lamis Yehia, Mohammed S. Orloff, Lisa Rybicki, Jian Fang and Mira Milas. Their work appears in journals such as Nature, New England Journal of Medicine and JAMA.
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.