Jing Ni
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Oncology top 10%
- Genetics top 5%
- Cancer Research top 10%
- Co-authors
- Jean J. ZhaoShaozhen XieShuyuan YehChawnshang ChangLydia TamCraig J. ThomasDamien DuveauMichelle Monje
- Topics
- PI3K/AKT/mTOR signaling in cancer (7 papers)Glioma Diagnosis and Treatment (6 papers)Prostate Cancer Treatment and Research (5 papers)
- Cited by
- GeneticsCancer ResearchBiochemistry
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Jing Ni
37 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 940
- Pulmonary and Respiratory Medicine 378
- Oncology 324
- Genetics 320
- Cancer Research 282
Countries citing papers authored by Jing Ni
This map shows the geographic impact of Jing 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 Jing Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Ni more than expected).
Fields of papers citing papers by Jing Ni
This network shows the impact of papers produced by Jing 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 Jing Ni. The network helps show where Jing Ni may publish in the future.
Co-authorship network of co-authors of Jing Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Ni. A scholar is included among the top collaborators of Jing 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 Jing Ni. Jing 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 | 14 | |
| 2 | 6 | |
| 3 | Quality Assessment and Comparison of Plasma-Derived Extracellular Vesicles Separated by Three Commercial Kits for Prostate Cancer Diagnosis | 1 |
| 4 | 51 | |
| 5 | Impact of sites versus number of metastases on survival of patients with organ metastasis from newly diagnosed cervical cancer | 4 |
| 6 | 22 | |
| 7 | 71 | |
| 8 | 67 | |
| 9 | Targeting neuronal activity-regulated neuroligin-3 dependency in high-grade gliomabreakdown → | 352 |
| 10 | 77 | |
| 11 | 13 | |
| 12 | 125 | |
| 13 | 22 | |
| 14 | 20 | |
| 15 | 9 | |
| 16 | 109 | |
| 17 | A rapid and simple approach to preparation of monoclonal antibody based on DNA immunization. | 11 |
| 18 | 5 | |
| 19 | 81 | |
| 20 | 36 |
About Jing Ni
Jing Ni is a scholar working on Biochemistry, Genetics and Molecular Biology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Glioma Diagnosis and Treatment (6 papers) and Prostate Cancer Treatment and Research (5 papers). The work is most often cited by research in Genetics (320 citations), Cancer Research (282 citations) and Biochemistry (112 citations). Jing Ni has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jean J. Zhao, Shaozhen Xie, Shuyuan Yeh, Chawnshang Chang, Lydia Tam, Craig J. Thomas, Damien Duveau, Michelle Monje, Shawn Gillespie and James Lennon. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.
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.