Weize Huang

28 papers receiving 340 citations

Peers

Weize Huang
Comparison fields: 5 of 79
  • Pharmacology 89
  • Transplantation 17
  • Oncology 106
  • Biochemistry 22
  • Pediatrics, Perinatology and Child Health 60
Replace Svetlana Markova with:
Svetlana Markova United States
Lindsay C. Czuba United States
X.‐Y. Zhou China
Hideyasu Matsuda Japan
Mark Allison United States
Stefano Ceccarelli Italy
Nancy W. Bethea United States
Fazhong He China
Henrike Bruckmueller Germany
Weize Huang relative to Svetlana Markova United States Svetlana Markova's profile →
Citations per field
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Svetlana Markova · 1×
Citations per year

Countries citing papers authored by Weize Huang

Since Specialization
Citations

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

Fields of papers citing papers by Weize Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201834
2 201730
3 201928
4 201328
5 202027
6 202023
7 202121
8 202116
9 202015
10 201915
11 201615
12 202014
13 200114
14 202411
15 20219
16 20226
17 20236
18 20225
19 20234
20 20234

About Weize Huang

Weize Huang is a scholar working on Oncology, Pharmacology, Molecular Biology, Pediatrics, Perinatology and Child Health and Hematology, having authored 29 papers that have together received 341 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Drug Transport and Resistance Mechanisms (7 papers), Pharmacological Effects and Toxicity Studies (6 papers), Retinoids in leukemia and cellular processes (5 papers), CAR-T cell therapy research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Pharmaceutical studies and practices (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Pharmacology (89 citations), Transplantation (17 citations), Oncology (106 citations), Biochemistry (22 citations) and Pediatrics, Perinatology and Child Health (60 citations). Weize Huang has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Nina Isoherranen, Lindsay C. Czuba, Jennifer E. Sager, Mariko Nakano, Isabelle Ragueneau‐Majlessi, Dale Miles, Jessica M. Snyder, Cathryn A. Hogarth, Peter Stefanov Kourtev and Traci Topping. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, Clinical Pharmacology & Therapeutics, Clinical and Translational Science and CPT Pharmacometrics & Systems Pharmacology.

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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