Mingjun Bi

713 citations
10 papers · 544 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

    • Cancer-related molecular mechanisms research 3
    • RNA modifications and cancer 3
    • Inflammasome and immune disorders 1
    • TGF-β signaling in diseases 1
    • Genomics and Chromatin Dynamics 1

Mingjun Bi

9 papers receiving 541 citations

Peers

Mingjun Bi
Comparison fields: 5 of 43
  • Cancer Research 127
  • Molecular Biology 321
  • Cell Biology 53
  • Oncology 37
  • Genetics 48
Replace Ekaterina A. Anedchenko with:
Ekaterina A. Anedchenko Russia
Tiffany R. Baker United States
Xia-Ying Kuang China
Christina Vorvis United States
Can Zhou China
Neil Slaven United States
Dimitra Georgopoulou United Kingdom
Rebecca C. Lamothe United States
John J. Castorino United States
Amine Saad Canada
Mingjun Bi relative to Ekaterina A. Anedchenko Russia Ekaterina A. Anedchenko's profile →
Citations per field
00.5×2×4×6.1×
Ekaterina A. Anedchenko · 1×
Citations per year

Countries citing papers authored by Mingjun Bi

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2021212
2 2020108
3 201996
4 201745
5 201436
6 202021
7 202315
8 202010
9 20211
10 20260

About Mingjun Bi

Mingjun Bi is a scholar working on Cancer Research, Molecular Biology, Cell Biology, Genetics and Nuclear Energy and Engineering, having authored 10 papers that have together received 544 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Inflammasome and immune disorders (1 paper), TGF-β signaling in diseases (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Estrogen and related hormone effects (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Cancer Research (127 citations), Molecular Biology (321 citations), Cell Biology (53 citations), Oncology (37 citations) and Genetics (48 citations). Mingjun Bi has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Bin Huang, Hongmei Yu, Zhijie (Jason) Liu, Zhao Zhang, Lizhen Chen, Mingqiu Chen, Pingping Liu, Tim H.‐M. Huang, Hu Wang and Chi Zhu. Their work appears in journals such as Molecular Cell, Gene, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, eLife and Cell Discovery.

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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