Bingjun Bai

637 citations
29 papers · 478 · 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

    • Cancer Genomics and Diagnostics 3
    • Cancer-related molecular mechanisms research 2
    • Colorectal Cancer Surgical Treatments 3

Bingjun Bai

28 papers receiving 473 citations

Peers

Bingjun Bai
Comparison fields: 5 of 73
  • Cancer Research 90
  • Oncology 126
  • Sensory Systems 12
  • Molecular Biology 174
  • Immunology 49
Replace Samuel Amintas with:
Samuel Amintas France
Chanida Vinayanuwattikun Thailand
Isabelle Moranvillier France
Jiazhang Wei China
Jacqueline Granese United States
Sijia Wang China
Peter Dynoodt Belgium
Delphine Fontaine France
Che‐Shoa Chang Taiwan
Cláudia Alessandra Andrade de Paula Brazil
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Citations per field
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202164
2 201649
3 201340
4 202134
5 201930
6 201828
7 201827
8 202026
9 202226
10 201719
11 202219
12 201618
13 202114
14 202013
15 201711
16 20199
17 20209
18 20249
19 20188
20 20236

About Bingjun Bai

Bingjun Bai is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Immunology and Molecular Biology, having authored 29 papers that have together received 478 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 molecular mechanisms research (2 papers), Cancer-related gene regulation (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (90 citations), Oncology (126 citations), Sensory Systems (12 citations), Molecular Biology (174 citations) and Immunology (49 citations). Bingjun Bai has collaborated with scholars based in China and United States. Frequent co-authors include Hongbo Zhu, Binbin Xie, Yiming Lv, Yuzi Xu, Engeng Chen, Lina Shan, Xing Gao, Xingxing Wang, Wenqian Zheng and Hongming Pan. Their work appears in journals such as Oncology Reports, Oncotarget, Cancer Medicine, Medical Oncology and Signal Transduction and Targeted Therapy.

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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