Runfa Bao

2.4k citations
40 papers · 1.4k · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • RNA modifications and cancer 5
    • Cell death mechanisms and regulation 4
    • Kruppel-like factors research 3
    • Cancer-related gene regulation 3
    • Cholangiocarcinoma and Gallbladder Cancer Studies 8

Runfa Bao

39 papers receiving 1.4k citations

Peers

Runfa Bao
Comparison fields: 5 of 84
  • Cancer Research 419
  • Oncology 277
  • Molecular Biology 723
  • Toxicology 31
  • Surgery 240
Replace Yijun Shu with:
Yijun Shu China
Jiasheng Mu China
Kuang-Tai Kuo Taiwan
Constantin Ștefani Romania
Shanshan Xiang China
Yi‐Wen Liao Taiwan
Wenqin Xiao China
Runfa Bao relative to Yijun Shu China Yijun Shu's profile →
Citations per field
00.5×1.5×
Yijun Shu · 1×
Citations per year

Countries citing papers authored by Runfa Bao

Since Specialization
Citations

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

Fields of papers citing papers by Runfa Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014206
2 2014100
3 201382
4 201481
5 201773
6 201566
7 201459
8 201450
9 201549
10 201647
11 201644
12 201441
13 201538
14 201534
15 201331
16 201330
17 201929
18 201629
19 201428
20 201528

About Runfa Bao

Runfa Bao is a scholar working on Molecular Biology, Surgery, Oncology, Cancer Research and Pharmacology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Cell death mechanisms and regulation (4 papers), Kruppel-like factors research (3 papers), Cancer-related gene regulation (3 papers), Cancer Mechanisms and Therapy (3 papers) and Inflammatory Biomarkers in Disease Prognosis (3 papers). The work is most often cited by research in Cancer Research (419 citations), Oncology (277 citations), Molecular Biology (723 citations), Toxicology (31 citations) and Surgery (240 citations). Runfa Bao has collaborated with scholars based in China, Hong Kong and India. Frequent co-authors include Yijun Shu, Yingbin Liu, Maolan Li, Xiangsong Wu, Hao Weng, Yang Cao, Jiasheng Mu, Qian Ding, Yunping Hu and Wenguang Wu. Their work appears in journals such as BMC Cancer, Cancer Biology & Therapy, Frontiers in Oncology, Medical Oncology and Molecules.

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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