Wei‐Ting Wang

3.4k citations
159 papers · 2.4k · h-index 23

Impact in

Papers in

    • Kruppel-like factors research 6
    • Blood groups and transfusion 14
    • Hematopoietic Stem Cell Transplantation 7

Wei‐Ting Wang

147 papers receiving 2.4k citations

Peers

Wei‐Ting Wang
Comparison fields: 5 of 149
  • Analytical Chemistry 565
  • Biophysics 221
  • Industrial and Manufacturing Engineering 198
  • Genetics 191
  • Hematology 191
Replace Haiyan Song with:
Haiyan Song China
Yiwen Shen China
Masashi Kato Japan
Wei Pei China
William A. Ricke United States
Huan Wang China
Xiaoqin Zhang China
Yan Song China
Andrew Williams Canada
Wei Fu China
Wei‐Ting Wang relative to Haiyan Song China Haiyan Song's profile →
Citations per field
00.5×10×15×19.1×
Haiyan Song · 1×
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 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013206
2 2016176
3 2014176
4 2011168
5 2010166
6 201162
7 201957
8 200952
9 201950
10 201547
11 199847
12 202144
13 202043
14 202041
15 202334
16 201631
17 201730
18 201729
19 201029
20 202126

About Wei‐Ting Wang

Wei‐Ting Wang is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Surgery, having authored 159 papers that have together received 2.4k 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), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Immune Cell Function and Interaction (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Kruppel-like factors research (6 papers) and Spectroscopy and Chemometric Analyses (6 papers). The work is most often cited by research in Analytical Chemistry (565 citations), Biophysics (221 citations), Industrial and Manufacturing Engineering (198 citations), Genetics (191 citations) and Hematology (191 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 Scientific Reports, Journal of Clinical Medicine, Analytica Chimica Acta, PLoS ONE and Biomedicines.

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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