BaoChau Le

1.0k citations
6 papers · 555 · h-index 4

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Protein Degradation and Inhibitors
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Ubiquitin and proteasome pathways
    • Histone Deacetylase Inhibitors Research
    • RNA modifications and cancer

Papers in

    • Ubiquitin and proteasome pathways 3
    • Protein Degradation and Inhibitors 3
    • Epigenetics and DNA Methylation 2
    • Cancer-related gene regulation 2
    • Genomics and Chromatin Dynamics 1
    • PI3K/AKT/mTOR signaling in cancer 1
    • Acute Myeloid Leukemia Research 1

BaoChau Le

5 papers receiving 543 citations

Peers

BaoChau Le
Comparison fields: 5 of 41
  • Hematology 97
  • Molecular Biology 487
  • Cancer Research 38
  • Neurology 34
  • Oncology 60
Replace Marek Wanior with:
Marek Wanior Germany
Alessandra Pirola Italy
Amanda L. Robichaud United States
Sara Cattelani United States
Nandini Sakurikar United States
Cynthia K. Hahn United States
Anja Hohmann United States
Bo Kyung A. Seong United States
Santhana G.T. Devaraj United States
Mylissa Borek United States
BaoChau Le relative to Marek Wanior Germany Marek Wanior's profile →
Citations per field
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Marek Wanior · 1×
Citations per year

Countries citing papers authored by BaoChau Le

Since Specialization
Citations

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

Fields of papers citing papers by BaoChau Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2013151
2 2012143
3 2013137
4 2018123
5 20141
6 20240

About BaoChau Le

BaoChau Le is a scholar working on Molecular Biology, Hematology, Neurology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 6 papers that have together received 555 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related gene regulation (2 papers), Acute Myeloid Leukemia Research (1 paper), Genomics and Chromatin Dynamics (1 paper), Prostate Cancer Treatment and Research (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Hematology (97 citations), Molecular Biology (487 citations), Cancer Research (38 citations), Neurology (34 citations) and Oncology (60 citations). BaoChau Le has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Olena Barbash, Peter J. Tummino, Anastasia Wyce, Charles F. McHugh, Yuchen Bai, Susan Korenchuk, Ryan G. Kruger, Michael T. McCabe, Caretha L. Creasy and Robert L. Vessella. Their work appears in journals such as PLoS ONE, Oncotarget, Cancer Research, Science Advances and Epigenetics.

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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