Bao‐Li Chang

3.3k citations
43 papers · 1.8k indexed · h-index 28

Impact in

Papers in

    • Cancer, Lipids, and Metabolism 6
    • Cancer-related molecular mechanisms research 6
    • Cancer Genomics and Diagnostics 5
    • Prostate Cancer Treatment and Research 21
    • Prostate Cancer Diagnosis and Treatment 9

Bao‐Li Chang

42 papers receiving 1.8k citations

Peers

Bao‐Li Chang
Comparison fields: 5 of 96
  • Cancer Research 458
  • Pulmonary and Respiratory Medicine 794
  • Genetics 589
  • Immunology 246
  • Molecular Biology 783
Replace Milan Radovich with:
Milan Radovich United States
Elisabeth Dequeker Belgium
Danielle M. Townsley United States
José I. Diaz United States
Caroline Kannengiesser France
Till Krech Germany
Weici Zhang United States
Masanori Kaneuchi Japan
Aubrey R. Turner United States
William B. Isaacs United States
Bao‐Li Chang relative to Milan Radovich United States Milan Radovich's profile →
Citations per field
00.5×2.6×
Milan Radovich · 1×
Citations per year

Countries citing papers authored by Bao‐Li Chang

Since Specialization
Citations

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

Fields of papers citing papers by Bao‐Li Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201647
2 201011
3 200879
4 200830
5 200827
6 2007111
7 200739
8 200736
9 200647
10 20064
11 200635
12 200368
13 200353
14 200342
15 200353
16 200214
17 200182
18 200138
19 199725
20 19968

About Bao‐Li Chang

Bao‐Li Chang is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Genetics, Pathology and Forensic Medicine and Oncology, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (21 papers), Genetic Associations and Epidemiology (10 papers), Prostate Cancer Diagnosis and Treatment (9 papers), Cancer, Lipids, and Metabolism (6 papers), Cancer-related molecular mechanisms research (6 papers), Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers) and Inflammatory Biomarkers in Disease Prognosis (4 papers). The work is most often cited by research in Cancer Research (458 citations), Pulmonary and Respiratory Medicine (794 citations), Genetics (589 citations), Immunology (246 citations) and Molecular Biology (783 citations). Bao‐Li Chang has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include William B. Isaacs, Aubrey R. Turner, Deborah A. Meyers, S. Lilly Zheng, Jianfeng Xu, Sarah D. Isaacs, Siqun L. Zheng, Jielin Sun, Jianfeng Xu and Patrick C. Walsh. Their work appears in journals such as The Prostate, Cancer Epidemiology Biomarkers & Prevention, International Journal of Cancer, The American Journal of Human Genetics and Clinical Cancer Research.

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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