Jun Bie

1.0k citations
24 papers · 124 · h-index 6

Impact in

Papers in

    • Cancer Cells and Metastasis 4
    • CAR-T cell therapy research 2
    • RNA modifications and cancer 3
    • Circular RNAs in diseases 2

Jun Bie

19 papers receiving 123 citations

Peers

Jun Bie
Comparison fields: 5 of 32
  • Cancer Research 28
  • Oncology 31
  • Reproductive Medicine 7
  • Molecular Biology 53
  • Agronomy and Crop Science 8
Replace Marta Ferreira with:
Marta Ferreira Portugal
Einav Simon Israel
Karolína Trachtová Czechia
Dagmara Dymerska Poland
Yves Jean Bignon France
Simeng Hu China
Monika Wolf Germany
Gordon B. Mills United States
Miaochun Xu China
Zhiyi Wan China
Jun Bie relative to Marta Ferreira Portugal Marta Ferreira's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun Bie

Since Specialization
Citations

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

Fields of papers citing papers by Jun Bie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201531
2 201916
3 202114
4 201713
5 202012
6 20238
7 20235
8 20225
9 20215
10 20194
11 20213
12 20251
13 20211
14
Surgery or radiotherapy, which is more effective for upper esophageal carcinoma? A retrospective cohort study based on 191 cases
20191
15 20251
16 20231
17 20161
18 20231
19 20221
20 20240

About Jun Bie

Jun Bie is a scholar working on Oncology, Molecular Biology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 124 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), RNA modifications and cancer (3 papers), Cancer, Lipids, and Metabolism (2 papers), Circular RNAs in diseases (2 papers), CAR-T cell therapy research (2 papers), Esophageal Cancer Research and Treatment (2 papers), Cancer Research and Treatments (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (28 citations), Oncology (31 citations), Reproductive Medicine (7 citations), Molecular Biology (53 citations) and Agronomy and Crop Science (8 citations). Jun Bie has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Xinping Zhang, Guohui Xu, Veerle Van Hoeck, Waleed F. A. Marei, Jo Leroy, Ziwei Wang, Gang Feng, Kang Liu, Xin Hu and Mi Yang. Their work appears in journals such as Journal of Clinical Oncology, Medicine, Oncology Reports, Molecular Carcinogenesis and Frontiers in Public Health.

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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