Wei‐Ting Wang

3.2k citations
154 papers · 2.3k indexed · h-index 23

Impact in

Papers in

    • Blood groups and transfusion 14
    • Hematopoietic Stem Cell Transplantation 7
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 8

Wei‐Ting Wang

143 papers receiving 2.3k citations

Peers

Wei‐Ting Wang
Comparison fields: 5 of 149
  • Analytical Chemistry 559
  • Biophysics 224
  • Industrial and Manufacturing Engineering 205
  • Genetics 209
  • Hematology 212
Replace Masashi Kato with:
Masashi Kato Japan
Haiyan Song China
Yiwen Shen China
William A. Ricke United States
Yan Song China
Xiaoqin Zhang China
Huan Wang China
Yixuan Zhang China
Rui Li China
Dongmei Wu China
Wei‐Ting Wang relative to Masashi Kato Japan Masashi Kato's profile →
Citations per field
00.5×9.2×
Masashi Kato · 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 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013201
2 2014174
3 2016171
4 2010166
5 2011163
6 201161
7 201956
8 200951
9 201950
10 199847
11 201547
12 202043
13 202142
14 202041
15 201631
16 201729
17 201029
18 201728
19 202025
20 202325

About Wei‐Ting Wang

Wei‐Ting Wang is a scholar working on Hematology, Genetics, Internal Medicine, Complementary and alternative medicine and Neurology, having authored 154 papers that have together received 2.3k indexed citations. Recurring topics across this work include Blood groups and transfusion (14 papers), Erythrocyte Function and Pathophysiology (10 papers), Traditional Chinese Medicine Analysis (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Viral-associated cancers and disorders (7 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Analytical Chemistry (559 citations), Biophysics (224 citations), Industrial and Manufacturing Engineering (205 citations), Genetics (209 citations) and Hematology (212 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, Yan‐Hwa Wu Lee, Tsung‐Yuan Tsai, Chien‐Feng Sun and Wei Fan. Their work appears in journals such as Scientific Reports, Journal of Clinical Medicine, Analytica Chimica Acta, Biomedicines and Annals of Hematology.

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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