BaoHan T. Vo

935 citations
15 papers · 502 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • TGF-β signaling in diseases
    • PI3K/AKT/mTOR signaling in cancer
    • Epigenetics and DNA Methylation

Papers in

    • TGF-β signaling in diseases 3
    • Epigenetics and DNA Methylation 3
    • Hedgehog Signaling Pathway Studies 2
    • Receptor Mechanisms and Signaling 2
    • Protein Degradation and Inhibitors 1

BaoHan T. Vo

15 papers receiving 499 citations

Peers

BaoHan T. Vo
Comparison fields: 5 of 80
  • Cancer Research 107
  • Molecular Biology 335
  • Oncology 114
  • Genetics 31
  • Pulmonary and Respiratory Medicine 77
Replace Yantong Guo with:
Yantong Guo China
Petra Ohneseit Germany
Yanqiu Zhao China
Mi Kyung Park South Korea
Colin Crean United States
Stephan Woditschka United States
Ola Hadadeh Lebanon
Setsuko Kaneko Japan
Laura Di Magno Italy
I‐Chu Tseng United States
BaoHan T. Vo relative to Yantong Guo China Yantong Guo's profile →
Citations per field
00.5×7.5×
Yantong Guo · 1×
Citations per year

Countries citing papers authored by BaoHan T. Vo

Since Specialization
Citations

This map shows the geographic impact of BaoHan T. Vo'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 BaoHan T. Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BaoHan T. Vo more than expected).

Fields of papers citing papers by BaoHan T. Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by BaoHan T. Vo. 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 BaoHan T. Vo. The network helps show where BaoHan T. Vo may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2013162
2 201651
3 200843
4 201140
5 201239
6 201631
7 201227
8 201223
9 201220
10 201218
11 201816
12 201814
13 200810
14 20207
15 20241

About BaoHan T. Vo

BaoHan T. Vo is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Neurology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 502 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Epigenetics and DNA Methylation (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Receptor Mechanisms and Signaling (2 papers), Prostate Cancer Treatment and Research (2 papers), Hereditary Neurological Disorders (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cancer Research (107 citations), Molecular Biology (335 citations), Oncology (114 citations), Genetics (31 citations) and Pulmonary and Respiratory Medicine (77 citations). BaoHan T. Vo has collaborated with scholars based in United States and Germany. Frequent co-authors include Shafiq A. Khan, Ana C. Millena, Derrick J. Morton, Miao Zhong, Ellen R. Goldman, Valerie Odero-Marah, George P. Anderson, Andrew Hayhurst, Martine F. Roussel and Yang Cao. Their work appears in journals such as Asian Journal of Andrology, Scientific Reports, Endocrinology, The Prostate and Journal of Developmental Origins of Health and Disease.

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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