Bao Hoang

2.6k citations
40 papers · 2.0k indexed · 1 hit paper · h-index 26

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
  • Oncology top 5%
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis

Papers in

Bao Hoang

38 papers receiving 2.0k citations

Hit Papers

Novel anti–B-cell maturation antigen antibody-drug conjugate (GSK2857916) selectively induces killing of multiple myeloma 2014 · 375 citations
3752014202620182022100200300

Peers

Bao Hoang
Comparison fields: 5 of 104
  • Hematology 532
  • Oncology 534
  • Molecular Biology 1.2k
  • Cell Biology 242
  • Cellular and Molecular Neuroscience 254
Replace Olivier Albagli with:
Olivier Albagli France
Véronique Pantesco France
Mercedes Garayoa Spain
Franck Gesbert France
Stacey J. Baker United States
Maria De La Luz Sierra United States
Rebecca J. Chan United States
J A Escobedo United States
Alain Eychène France
Deniz Toksoz United States
Bao Hoang relative to Olivier Albagli France Olivier Albagli's profile →
Citations per field
00.5×1.5×2.0×
Olivier Albagli · 1×
Citations per year

Countries citing papers authored by Bao Hoang

Since Specialization
Citations

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

Fields of papers citing papers by Bao Hoang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201925
3 201725
4 201727
5 201610
6 201421
7 201329
8 20135
9 201318
10 201222
11 201222
12 201263
13 201035
14 2009124
15 200662
16 200449
17 200242
18 200237
19 2001176
20 19995

About Bao Hoang

Bao Hoang is a scholar working on Hematology, Immunology and Allergy, Business and International Management, Cell Biology and Molecular Biology, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (12 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cell Adhesion Molecules Research (5 papers), Cellular Mechanics and Interactions (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cell death mechanisms and regulation (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Hematology (532 citations), Oncology (534 citations), Molecular Biology (1.2k citations), Cell Biology (242 citations) and Cellular and Molecular Neuroscience (254 citations). Bao Hoang has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Alan Lichtenstein, Akira Chiba, Patrick Frost, Yijiang Shi, Joseph Gera, Angelica Benavides, Huajun Yan, Sanjai Sharma, James Tunstead and William Fieles. Their work appears in journals such as Blood, Molecular Cancer Therapeutics, Journal of Biological Chemistry, Oncogene and PLoS ONE.

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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