T Hoang

977 total citations
19 papers, 849 citations indexed

About

T Hoang is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, T Hoang has authored 19 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 7 papers in Hematology. Recurrent topics in T Hoang's work include Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Immune Cell Function and Interaction (5 papers). T Hoang is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Immune Cell Function and Interaction (5 papers). T Hoang collaborates with scholars based in Canada, Mexico and United States. T Hoang's co-authors include André Haman, Daniel Rajotte, GG Wong, Carlos Rodríguez, Pierre S. Haddad, Edward J. Cragoe, SC Clark, F Letendre, Steven C. Clark and G Wong and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.

In The Last Decade

T Hoang

17 papers receiving 827 citations

Peers

T Hoang
Comparison fields: 5 of 75
  • Hematology 389
  • Molecular Biology 342
  • Immunology 336
  • Oncology 175
  • Genetics 88
Replace André Haman with:
André Haman Canada
SM Watt United Kingdom
Greenberger Js United States
DL Urdal United States
A Faille France
Elizabeth Kruse Australia
Hisamaru Hirai Japan
Dorothy J. Park United States
Michael Lutteropp United Kingdom
Farshid Radparvar United States
André Haman Canada View profile →
Citations per field, relative to T Hoang
T Hoang · 1×
Citations per year, relative to T Hoang
T Hoang · 1×

Countries citing papers authored by T Hoang

Since Specialization
Citations

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

Fields of papers citing papers by T Hoang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Hoang

This figure shows the co-authorship network connecting the top 25 collaborators of T Hoang. A scholar is included among the top collaborators of T Hoang 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 T Hoang. T Hoang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 47
3
Implication of tyrosine kinase receptor and steel factor in cell density-dependent growth in cervical cancers and leukemias.
49
4 8
5 10
6 6
7 77
8 18
9 144
10 5
11 29
12 54
13 0
14 61
15 76
16 9
17 96
18 120
19
Removal of T cells from bone marrow for transplantation. Comparison of rat monoclonal anti-lymphocyte antibodies of different isotypes.
40

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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