Baiyu Yang

1.6k citations
49 papers · 1.1k · h-index 19

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Transportation Planning and Optimization

Papers in

Baiyu Yang

49 papers receiving 1.1k citations

Peers

Baiyu Yang
Comparison fields: 5 of 115
  • Hepatology 75
  • Transportation 58
  • Periodontics 34
  • Oncology 172
  • Epidemiology 198
Replace Nikola Panić with:
Nikola Panić Serbia
Chuanli Liu China
Katsuhiro Fukuda Japan
Yafei Wu China
Sina Azadnajafabad Iran
Young‐Sun Kim South Korea
Bao‐Zhu Li China
Jay Patel United Kingdom
Jing Zhao China
Dong Kyun Park South Korea
Baiyu Yang relative to Nikola Panić Serbia Nikola Panić's profile →
Citations per field
00.5×10×14.5×
Nikola Panić · 1×
Citations per year

Countries citing papers authored by Baiyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Baiyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017147
2 201499
3 201472
4 201367
5 201558
6 202041
7 201235
8 200334
9 201633
10 201733
11 201933
12 201732
13 201931
14 201827
15 202126
16 201624
17 201820
18
Prognostic and diagnostic significance of long non-coding RNA AGAP2-AS1 levels in patients with non-small cell lung cancer.
201720
19 201219
20 201918

About Baiyu Yang

Baiyu Yang is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Pathology and Forensic Medicine, Surgery and Transportation, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Lung Cancer Treatments and Mutations (6 papers), Transportation Planning and Optimization (5 papers), Mobile Health and mHealth Applications (3 papers), Data Management and Algorithms (3 papers), Vitamin D Research Studies (3 papers), Facility Location and Emergency Management (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hepatology (75 citations), Transportation (58 citations), Periodontics (34 citations), Oncology (172 citations) and Epidemiology (198 citations). Baiyu Yang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Katherine A. McGlynn, Jessica L. Petrick, Lisa Elon, Julie A. Gazmararian, Ruth M. Parker, Barry I. Graubard, Elise Miller-Hooks, Peter T. Campbell, Susan M. Gapstur and Eric J. Jacobs. Their work appears in journals such as PLoS ONE, Journal of Clinical Oncology, Cancer Epidemiology Biomarkers & Prevention, Molecular Carcinogenesis and International Journal of Cancer.

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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