Baixia Yang

623 citations
21 papers · 501 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Berberine and alkaloids research

Papers in

    • Ginseng Biological Effects and Applications 2
    • RNA modifications and cancer 2
    • DNA Repair Mechanisms 1
    • Cancer, Hypoxia, and Metabolism 3

Baixia Yang

21 papers receiving 491 citations

Peers

Baixia Yang
Comparison fields: 5 of 58
  • Cancer Research 167
  • Pharmacology 75
  • Pharmacology 31
  • Oncology 88
  • Applied Microbiology and Biotechnology 6
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Lingqin Song China
Youqun Xiang China
Fubin Feng China
Rongrui Liang China
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Baixia Yang relative to Lingqin Song China Lingqin Song's profile →
Citations per field
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Citations per year

Countries citing papers authored by Baixia Yang

Since Specialization
Citations

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

Fields of papers citing papers by Baixia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201363
2 201358
3 201453
4 201649
5 201336
6 201935
7 201627
8 201925
9 201322
10 201422
11 201420
12 202119
13 201619
14 201412
15 201512
16 201812
17 20217
18 20155
19 20222
20 20232

About Baixia Yang

Baixia Yang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Pharmacology, having authored 21 papers that have together received 501 indexed citations. Recurring topics across this work include Berberine and alkaloids research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Esophageal Cancer Research and Treatment (2 papers), Ginseng Biological Effects and Applications (2 papers), RNA modifications and cancer (2 papers), Plant and Fungal Interactions Research (1 paper), DNA Repair Mechanisms (1 paper) and Lymphatic Disorders and Treatments (1 paper). The work is most often cited by research in Cancer Research (167 citations), Pharmacology (75 citations), Pharmacology (31 citations), Oncology (88 citations) and Applied Microbiology and Biotechnology (6 citations). Baixia Yang has collaborated with scholars based in China and United States. Frequent co-authors include Jing Cai, Xi Yang, Xinchen Sun, Yangyang Ge, Feng Wang, Weidong Mao, Liping Xu, Chi Zhang, Qu Zhang and Hongyan Cheng. Their work appears in journals such as PLoS ONE, Medicine, International Journal of Radiation Biology, Diagnostic Pathology and Cancer Biology & 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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