Can-rong Ni

554 citations
32 papers · 427 indexed · h-index 11
Topics
Cancer-related Molecular Pathways (11 papers)Cancer Research and Treatments (7 papers)RNA modifications and cancer (7 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Can-rong Ni

31 papers receiving 423 citations

Peers

Can-rong Ni
Comparison fields: 5 of 59
  • Molecular Biology 285
  • Cancer Research 214
  • Oncology 129
  • Pulmonary and Respiratory Medicine 33
  • Surgery 31
Replace Xihu Qin with:
Xihu Qin China
Jiebing Tang China
Mo Ping China
Lei Du China
Tadayuki Koda Japan
Soki Hibino Japan
Tahera Zabuawala United States
Fangcheng Li China
Guojun Lu China
Can-rong Ni relative to Xihu Qin China Xihu Qin's profile →
Citations per field
00.5×4.6×
Xihu Qin · 1×
Citations per year

Countries citing papers authored by Can-rong Ni

Since Specialization
Citations

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

Fields of papers citing papers by Can-rong Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can-rong Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Can-rong Ni. A scholar is included among the top collaborators of Can-rong 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 Can-rong Ni. Can-rong 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
#WorkIndexed citations
1 8
2 10
3 20
4 25
5 68
6 20
7 80
8 34
9
[Effects of moxibustion on the expression of IL-1beta, IL-2, IL-6 mRNA and protein in the cerebral cortex in tumor-bearing mice].
9
10 24
11
[Hepatitis B virus X protein inhibits hepatoma cell growth in vitro through p14(ARF)-dependent and p14(ARF)-independent pathways].
2
12 4
13 1
14 27
15 20
16
[Expressions of nm23, P53 and S100A4 proteins and their relationships with metastasis potential in gastric carcinoma].
3
17 3
18
[Hepatitis B virus and deletion of its COOH-terminal forty amino acids: proliferative impact on hepatoma cell line SMMC-7721].
1
19 21
20
[Significance of p33(ING1b) and p53 gene expression in hepatocellular carcinoma].
3

About Can-rong Ni

Can-rong Ni is a scholar working on Biotechnology, Oncology and Cancer Research, having authored 32 papers that have together received 427 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (11 papers), Cancer Research and Treatments (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Cancer Research (214 citations), Oncology (129 citations) and Molecular Biology (285 citations). Can-rong Ni has collaborated with scholars based in China, United States and France. Frequent co-authors include Ming-hua Zhu, Danghui Yu, Chenyan Zhao, Qinghua Liu, Min Shi, Jing Zhang, Zhi Zhu, Shu‐Hui Zhang, Ying Chen and Shu‐Hui Zhang. Their work appears in journals such as Hepatology, Gut and Biochemical and Biophysical Research 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.

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