Xuefeng Ni

559 total citations
21 papers, 452 citations indexed

About

Xuefeng Ni is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Xuefeng Ni has authored 21 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Xuefeng Ni's work include Inflammatory Biomarkers in Disease Prognosis (5 papers), Cardiovascular Disease and Adiposity (2 papers) and Genetic factors in colorectal cancer (2 papers). Xuefeng Ni is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (5 papers), Cardiovascular Disease and Adiposity (2 papers) and Genetic factors in colorectal cancer (2 papers). Xuefeng Ni collaborates with scholars based in China, Japan and Portugal. Xuefeng Ni's co-authors include Changping Wu, Jingting Jiang, Wenjie Zhou, Yiting Geng, Danxia Zhu, Yingjie Shao, Qi Zhou, Xiao Zheng, Jiemin Zhao and Yanjie Xu and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Medicine.

In The Last Decade

Xuefeng Ni

19 papers receiving 445 citations

Peers

Xuefeng Ni
Comparison fields: 5 of 75
  • Oncology 232
  • Molecular Biology 115
  • Cancer Research 112
  • Surgery 104
  • Pulmonary and Respiratory Medicine 73
Replace Garth Beinart with:
Garth Beinart United States
Morgan R. Barron United States
Ping‐Tsung Chen Taiwan
Yuan Tian China
Damian McCartan Ireland
Hang Yu China
Hongyu Gao China
Tetsuro Ikeya Japan
Xuedong Sun China
Camilla Kronborg Denmark
Garth Beinart United States View profile →
Citations per field, relative to Xuefeng Ni
Xuefeng Ni · 1×
Citations per year, relative to Xuefeng Ni
Xuefeng Ni · 1×

Countries citing papers authored by Xuefeng Ni

Since Specialization
Citations

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

Fields of papers citing papers by Xuefeng Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuefeng Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Xuefeng Ni. A scholar is included among the top collaborators of Xuefeng 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 Xuefeng Ni. Xuefeng 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 0
2 0
3 1
4 12
5 1
6 3
7 48
8 8
9 24
10 27
11 2
12 52
13 9
14 9
15 187
16 1
17 2
18
Polymorphisms in CYP3A5*3 and MDR1, and haplotype modulate response to plasma levels of tacrolimus in Chinese renal transplant patients.
20
19 13
20
A New Model for the Steam Properties in Steam Injection Wells
15

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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