Wei‐Ting Wang

3.5k citations
171 papers · 2.6k · h-index 25

Impact in

Papers in

    • Blood groups and transfusion 14
    • Hematopoietic Stem Cell Transplantation 7

Wei‐Ting Wang

157 papers receiving 2.6k citations

Peers

Wei‐Ting Wang
Comparison fields: 5 of 150
  • Analytical Chemistry 587
  • Biophysics 222
  • Waste Management and Disposal 209
  • Genetics 213
  • Hematology 214
Replace Daniel G. Fraser with:
Daniel G. Fraser United States
Giovanna Mazzoleni Italy
Haiyan Song China
Wei Pei China
Yiwen Shen China
William A. Ricke United States
Yan Song China
J.-H Chou United States
Andrew Williams Canada
Dongmei Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Wei‐Ting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013217
2 2016187
3 2014186
4 2011176
5 2010172
6 201164
7 201957
8 201553
9 200953
10 201953
11 199852
12 202146
13 201646
14 202044
15 202043
16 202340
17 201735
18 201730
19 201029
20 202128

About Wei‐Ting Wang

Wei‐Ting Wang is a scholar working on Hematology, Genetics, Complementary and alternative medicine, Pathology and Forensic Medicine and Immunology, having authored 171 papers that have together received 2.6k indexed citations. Recurring topics across this work include Blood groups and transfusion (14 papers), Traditional Chinese Medicine Analysis (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Immune Cell Function and Interaction (7 papers), Spectroscopy and Chemometric Analyses (6 papers), Kruppel-like factors research (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Analytical Chemistry (587 citations), Biophysics (222 citations), Waste Management and Disposal (209 citations), Genetics (213 citations) and Hematology (214 citations). Wei‐Ting Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yong‐Huan Yun, Yi‐Zeng Liang, Baichuan Deng, Dongsheng Cao, Hongmei Lü, Qing‐Song Xu, Tsung‐Yuan Tsai, Yan‐Hwa Wu Lee, Ding‐Ping Chen and Wei Fan. Their work appears in journals such as Journal of Clinical Medicine, Scientific Reports, Analytica Chimica Acta, Arteriosclerosis Thrombosis and Vascular Biology and Clinica Chimica Acta.

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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