Peter T. Vuong

1.7k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Peter T. Vuong is a scholar working on Molecular Biology, Hematology and Nutrition and Dietetics. According to data from OpenAlex, Peter T. Vuong has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Hematology and 4 papers in Nutrition and Dietetics. Recurrent topics in Peter T. Vuong's work include Acute Myeloid Leukemia Research (6 papers), Retinoids in leukemia and cellular processes (4 papers) and Immune Response and Inflammation (3 papers). Peter T. Vuong is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Retinoids in leukemia and cellular processes (4 papers) and Immune Response and Inflammation (3 papers). Peter T. Vuong collaborates with scholars based in United States, Germany and Canada. Peter T. Vuong's co-authors include H. Phillip Koeffler, Adrian F. Gombart, Hiroshi Kawabata, Toshiyasu Hirama, Rong Yang, Seiji Kawano, Dorothy J. Park, Jonathan Said, Tsuyoshi Nakamaki and Rasha S. Germain and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Peter T. Vuong

16 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular Cloning of Transferrin Receptor 2

1999 511 citations Hiroshi Kawabata, Rong Yang et al. Journal of Biological Chemistry profile →

Peers

Peter T. Vuong

HEMAT

GENET

MB

ND

IMMUN

Yiqing Chi United States

Brahmananda R. Chitteti United States

Simone Boehrer Germany

Yan Xu China

Maria Teresa Quaranta Italy

Donghoon Yoon United States

Barbara P. Schick United States

Maria Mesuraca Italy

Sonali P. Barwe United States

Jiwang Zhang United States

Yiqing Chi United States

Peter T. Vuong

280 ×0.4

HEMAT

69 ×0.1

GENET

555 ×1.1

MB

73 ×0.1

ND

137 ×0.7

IMMUN

Citations per year, relative to Peter T. Vuong Peter T. Vuong (= 1×) peers Yiqing Chi

Countries citing papers authored by Peter T. Vuong

Since Specialization

Citations

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

Fields of papers citing papers by Peter T. Vuong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter T. Vuong

This figure shows the co-authorship network connecting the top 25 collaborators of Peter T. Vuong. A scholar is included among the top collaborators of Peter T. Vuong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter T. Vuong. Peter T. Vuong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Wong, Susan, Peter T. Vuong, Ning Liu, et al.. (2018). Utility of pooled cryopreserved human enterocytes as an in vitro model for assessing intestinal clearance and drug–drug interactions. Drug Metabolism and Pharmacokinetics. 33(1). S78–S78. 3 indexed citations

2.

Wong, Susan, Peter T. Vuong, Ning Liu, et al.. (2017). Utility of Pooled Cryopreserved Human Enterocytes as an In vitro Model for Assessing Intestinal Clearance and Drug-Drug Interactions. Drug Metabolism Letters. 12(1). 3–13. 13 indexed citations

3.

McCreery, Melissa Q., Kyle Halliwill, Reyno Delrosario, et al.. (2015). Evolution of metastasis revealed by mutational landscapes of chemically induced skin cancers. Nature Medicine. 21(12). 1514–1520. 90 indexed citations

4.

Gery, Sigal, Dorothy J. Park, Peter T. Vuong, et al.. (2007). RTP801 is a novel retinoic acid–responsive gene associated with myeloid differentiation. Experimental Hematology. 35(4). 572–578. 26 indexed citations

5.

Jones, Letetia C., Ayalew Tefferi, Peter T. Vuong, et al.. (2005). Detection of Aberrant Gene Expression in CD34 ⁺ Hematopoietic Stem Cells from Patients with Agnogenic Myeloid Metaplasia Using Oligonucleotide Microarrays. Stem Cells. 23(5). 631–637. 13 indexed citations

6.

Chih, Doris Y., Dorothy J. Park, Mitchell E. Gross, et al.. (2004). Protein partners of C/EBPε. Experimental Hematology. 32(12). 1173–1181. 19 indexed citations

7.

Gery, Sigal, Dorothy J. Park, Peter T. Vuong, et al.. (2004). Retinoic acid regulates C/EBP homologous protein expression (CHOP), which negatively regulates myeloid target genes. Blood. 104(13). 3911–3917. 27 indexed citations

8.

Tavor, Sigal, Dorothy J. Park, Sigal Gery, et al.. (2003). Restoration of C/EBPα Expression in a BCR-ABL+ Cell Line Induces Terminal Granulocytic Differentiation. Journal of Biological Chemistry. 278(52). 52651–52659. 51 indexed citations

9.

Park, Dorothy J., Peter T. Vuong, Sven de Vos, Dan Douer, & H. Phillip Koeffler. (2003). Comparative analysis of genes regulated by PML/RARα and PLZF/RARα in response to retinoic acid using oligonucleotide arrays. Blood. 102(10). 3727–3736. 74 indexed citations

10.

Tavor, Sigal, Peter T. Vuong, Dorothy J. Park, et al.. (2002). Macrophage functional maturation and cytokine production are impaired in C/EBPε-deficient mice. Blood. 99(5). 1794–1801. 36 indexed citations

11.

Kawabata, Hiroshi, Rasha S. Germain, Peter T. Vuong, et al.. (2000). Transferrin Receptor 2-α Supports Cell Growth Both in Iron-chelated Cultured Cells and in Vivo. Journal of Biological Chemistry. 275(22). 16618–16625. 197 indexed citations

12.

Kawabata, Hiroshi, Rong Yang, Toshiyasu Hirama, et al.. (1999). Molecular Cloning of Transferrin Receptor 2. Journal of Biological Chemistry. 274(30). 20826–20832. 511 indexed citations breakdown →

13.

Verbeek, Walter, Julie Lekstrom-Himes, Dorothy J. Park, et al.. (1999). Myeloid Transcription Factor C/EBPɛ Is Involved in the Positive Regulation of Lactoferrin Gene Expression in Neutrophils. Blood. 94(9). 3141–3150. 74 indexed citations

14.

Park, Dorothy J., Alexey M. Chumakov, Peter T. Vuong, et al.. (1999). CCAAT/enhancer binding protein ε is a potential retinoid target gene in acute promyelocytic leukemia treatment. Journal of Clinical Investigation. 103(10). 1399–1408. 158 indexed citations

15.

Kawabata, Hiroshi, Rong Yang, Toshiyasu Hirama, et al.. (1999). Kawabata, H. et al. Molecular cloning of transferrin receptor 2. A new member of the transferrin receptor-like family. J. Biol. Chem. 274, 20826-20832. 4 indexed citations

16.

Verbeek, Walter, Julie Lekstrom-Himes, Dorothy J. Park, et al.. (1999). Myeloid Transcription Factor C/EBPɛ Is Involved in the Positive Regulation of Lactoferrin Gene Expression in Neutrophils. Blood. 94(9). 3141–3150. 10 indexed citations

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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