Jing Ni

2.9k total citations · 1 hit paper
37 papers, 1.7k citations indexed

About

Jing Ni is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jing Ni has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Oncology. Recurrent topics in Jing Ni's work include PI3K/AKT/mTOR signaling in cancer (7 papers), Glioma Diagnosis and Treatment (6 papers) and Prostate Cancer Treatment and Research (5 papers). Jing Ni is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (7 papers), Glioma Diagnosis and Treatment (6 papers) and Prostate Cancer Treatment and Research (5 papers). Jing Ni collaborates with scholars based in United States, China and Taiwan. Jing Ni's 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 and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jing Ni

37 papers receiving 1.6k citations

Hit Papers

Targeting neuronal activity-regulated neuroligin-3 depend... 2017 2026 2020 2023 2017 100 200 300

Peers

Jing Ni
Comparison fields: 5 of 93
  • Molecular Biology 940
  • Pulmonary and Respiratory Medicine 378
  • Oncology 324
  • Genetics 320
  • Cancer Research 282
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Linda J. Metheny‐Barlow United States View profile →
Citations per field, relative to Jing Ni
Jing Ni · 1×
Citations per year, relative to Jing Ni
Jing Ni · 1×

Countries citing papers authored by Jing Ni

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 glioma breakdown →
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

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.

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