Xiaohui Ni

1.8k citations
25 papers · 743 · h-index 11

Impact in

Papers in

Xiaohui Ni

24 papers receiving 722 citations

Peers

Xiaohui Ni
Comparison fields: 5 of 95
  • Acoustics and Ultrasonics 37
  • Cancer Research 298
  • Biophysics 102
  • Hepatology 81
  • Analytical Chemistry 62
Replace Edward Vitkin with:
Edward Vitkin United States
Ashley M. Laughney United States
Nicholas P. Reder United States
Lawrence D. True United States
Adam M. Zysk United States
Maria P. Alcolea United Kingdom
Mazen A. Juratli Germany
H. Savage United States
Linda T. Nieman United States
Saumil Gandhi United States
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Citations per field
00.5×6.2×
Edward Vitkin · 1×
Citations per year

Countries citing papers authored by Xiaohui Ni

Since Specialization
Citations

This map shows the geographic impact of Xiaohui 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 Xiaohui Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Ni more than expected).

Fields of papers citing papers by Xiaohui Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaohui 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 Xiaohui Ni. The network helps show where Xiaohui Ni may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaohui Ni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaohui Ni Line = papers co-authored together Xiaohui Ni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016165
2 201190
3 201388
4 201276
5 201772
6 200461
7 200551
8 200630
9 202123
10 202013
11 200413
12 200610
13 20039
14 20249
15 20249
16 20127
17
GAB2 inhibits chondrocyte apoptosis through PI3K-AKT signaling in osteoarthritis.
20205
18 20143
19 20222
20 20032

About Xiaohui Ni

Xiaohui Ni is a scholar working on Cancer Research, Biomedical Engineering, Molecular Biology, Acoustics and Ultrasonics and Electrical and Electronic Engineering, having authored 25 papers that have together received 743 indexed citations. Recurring topics across this work include Optical Polarization and Ellipsometry (5 papers), Cancer Genomics and Diagnostics (5 papers), Random lasers and scattering media (4 papers), Optical Coherence Tomography Applications (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Optical Imaging and Spectroscopy Techniques (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (37 citations), Cancer Research (298 citations), Biophysics (102 citations), Hepatology (81 citations) and Analytical Chemistry (62 citations). Xiaohui Ni has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include R. R. Alfano, Asif Rizwan, Ronald G. Blasberg, Jason A. Koutcher, Sunitha B. Thakur, Inna Serganova, Zhe Su, Fan Bai, Hua Guo and Ning Zhang. Their work appears in journals such as Optics Letters, Clinical Cancer Research, Optics Express, iScience and Scientific Reports.

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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