Yow‐Ming Wang

1.9k citations
55 papers · 1.1k · h-index 18

Impact in

  • Immunology top 10%
    • Biosimilars and Bioanalytical Methods
  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion

Papers in

Yow‐Ming Wang

52 papers receiving 1.0k citations

Peers

Yow‐Ming Wang
Comparison fields: 5 of 90
  • Immunology 368
  • Hematology 165
  • Radiology, Nuclear Medicine and Imaging 275
  • Genetics 92
  • Oncology 203
Replace Ekaterina Gibiansky with:
Ekaterina Gibiansky United States
Jim Xiao United States
Sriram Subramaniam United States
Benjamin Wu United States
Diane D. Wang United States
Song Ren China
Stephan Bek Germany
Amit Garg United States
Jie Ling United States
Raja Velagapudi United States
Yow‐Ming Wang relative to Ekaterina Gibiansky United States Ekaterina Gibiansky's profile →
Citations per field
00.5×1.6×
Ekaterina Gibiansky · 1×
Citations per year

Countries citing papers authored by Yow‐Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yow‐Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yow‐Ming Wang. 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 Yow‐Ming Wang. The network helps show where Yow‐Ming Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005109
2 201586
3 200182
4 201079
5 201069
6 200968
7 201068
8 201054
9 201233
10 201131
11 201928
12 201327
13 201926
14 201825
15 201225
16 201423
17 202022
18 201518
19 201815
20 200813

About Yow‐Ming Wang

Yow‐Ming Wang is a scholar working on Immunology, Pediatrics, Perinatology and Child Health, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Statistics and Probability, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (29 papers), Pharmaceutical studies and practices (17 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Statistical Methods in Clinical Trials (8 papers), Protein purification and stability (7 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Platelet Disorders and Treatments (4 papers). The work is most often cited by research in Immunology (368 citations), Hematology (165 citations), Radiology, Nuclear Medicine and Imaging (275 citations), Genetics (92 citations) and Oncology (203 citations). Yow‐Ming Wang has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Andrew Chow, Juan José Pérez Ruixo, Wojciech Krzyżański, Jim Xiao, Lin Zhou, Lanyan Fang, Jie Wang, Yuen Yi Hon, Jie Wang and Saileta Prabhu. Their work appears in journals such as Clinical Pharmacology & Therapeutics, The AAPS Journal, The Journal of Clinical Pharmacology, Pharmaceutical Research and Clinical and Translational Science.

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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