Bingjun Bai

612 citations
28 papers · 450 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Colorectal Cancer Treatments and Studies
    • Cancer Immunotherapy and Biomarkers

Papers in

Bingjun Bai

26 papers receiving 447 citations

Peers

Bingjun Bai
Comparison fields: 5 of 72
  • Cancer Research 86
  • Oncology 119
  • Sensory Systems 12
  • Molecular Biology 166
  • Immunology 49
Replace Samuel Amintas with:
Samuel Amintas France
Renqiang Ma China
Sijie Li China
Hironobu Tsukamoto Japan
Chanida Vinayanuwattikun Thailand
Isabelle Moranvillier France
Rong Du China
Jiazhang Wei China
Yuning Hou United States
Jacqueline Granese United States
Bingjun Bai relative to Samuel Amintas France Samuel Amintas's profile →
Citations per field
00.5×10×13×
Samuel Amintas · 1×
Citations per year

Countries citing papers authored by Bingjun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Bingjun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 201649
3 201340
4 201930
5 202129
6 201827
7 202225
8 201825
9 202024
10 202218
11 201718
12 201617
13 202013
14 202111
15 201710
16 20209
17 20199
18 20188
19 20247
20 20236

About Bingjun Bai

Bingjun Bai is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Surgery, having authored 28 papers that have together received 450 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (4 papers), Genetic factors in colorectal cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Colorectal and Anal Carcinomas (3 papers), Colorectal Cancer Surgical Treatments (3 papers), Cancer-related gene regulation (2 papers), Immune Cell Function and Interaction (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (86 citations), Oncology (119 citations), Sensory Systems (12 citations), Molecular Biology (166 citations) and Immunology (49 citations). Bingjun Bai has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hongbo Zhu, Binbin Xie, Yiming Lv, Yuzi Xu, Engeng Chen, Lina Shan, Xingxing Wang, Xing Gao, Hongming Pan and Xuefeng Huang. Their work appears in journals such as Oncotarget, Oncology Reports, Medical Oncology, Cancer Medicine and Journal of Clinical Oncology.

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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