Beibei Ni

1.1k citations
36 papers · 851 · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
    • Gut microbiota and health
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation

Papers in

Beibei Ni

33 papers receiving 834 citations

Peers

Beibei Ni
Comparison fields: 5 of 86
  • Cancer Research 169
  • Molecular Biology 465
  • Immunology 105
  • Oncology 118
  • Biological Psychiatry 7
Replace Zhihang Zhou with:
Zhihang Zhou China
Liwei Lang United States
Yunhee Lee South Korea
Francine Grondin Canada
Youngeun Kim South Korea
Haoran Feng China
Weina Li China
Guangyi Wang China
Beibei Ni relative to Zhihang Zhou China Zhihang Zhou's profile →
Citations per field
00.5×1.5×
Zhihang Zhou · 1×
Citations per year

Countries citing papers authored by Beibei Ni

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beibei 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 Beibei Ni Line = papers co-authored together Beibei Ni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019161
2 202290
3 201572
4 201662
5 202353
6 202248
7 202231
8 202231
9 202431
10 201427
11 201927
12 202326
13 201321
14 201417
15 202317
16 201616
17 201714
18 202014
19 201312
20 201912

About Beibei Ni

Beibei Ni is a scholar working on Cancer Research, Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 36 papers that have together received 851 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Mycobacterium research and diagnosis (2 papers), Cancer-related molecular mechanisms research (2 papers), Diet, Metabolism, and Disease (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune cells in cancer (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cancer Research (169 citations), Molecular Biology (465 citations), Immunology (105 citations), Oncology (118 citations) and Biological Psychiatry (7 citations). Beibei Ni has collaborated with scholars based in China, Nepal and Hong Kong. Frequent co-authors include Dianke Chen, Fan Yang, Zihuan Yang, Lijie Pan, Zixu Yuan, Fang Liu, Lan Zhao, Hong Sang, Xinjuan Fan and Mingyu Xu. Their work appears in journals such as Stem Cell Research & Therapy, International Journal of Biological Sciences, International Journal of Oncology, Human Vaccines & Immunotherapeutics and Frontiers in Genetics.

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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