Cathy Wang

1.7k citations
65 papers · 1.3k · h-index 20

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Polysaccharides Composition and Applications

Papers in

    • Multiple Myeloma Research and Treatments 29
    • Protein Degradation and Inhibitors 9
    • Bone Metabolism and Diseases 5
    • Ubiquitin and proteasome pathways 5

Cathy Wang

61 papers receiving 1.2k citations

Peers

Cathy Wang
Comparison fields: 5 of 135
  • Hematology 222
  • Food Science 204
  • Oncology 293
  • Health Informatics 11
  • Molecular Biology 552
Replace Jin Wang with:
Jin Wang China
Hiroyuki Sumi Japan
Ju Hyun Park South Korea
Elizabeth A. Chlipala United States
Qingyang Wang China
Ji‐Young Lee South Korea
Yong‐Wan Kim South Korea
Neil H. Davies South Africa
Pengcheng Qiu China
Zhiying Chen China
Cathy Wang relative to Jin Wang China Jin Wang's profile →
Citations per field
00.5×7.2×
Jin Wang · 1×
Citations per year

Countries citing papers authored by Cathy Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cathy Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003131
2 2012116
3 200386
4 201486
5 201674
6 200964
7 201561
8 200355
9 201355
10 201038
11 200737
12 201933
13 201229
14 201326
15 200624
16 202021
17 200421
18 201921
19 202020
20 201219

About Cathy Wang

Cathy Wang is a scholar working on Hematology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (29 papers), Protein Degradation and Inhibitors (9 papers), Peptidase Inhibition and Analysis (9 papers), Advancements in Photolithography Techniques (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Bone health and treatments (5 papers), Bone Metabolism and Diseases (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Hematology (222 citations), Food Science (204 citations), Oncology (293 citations), Health Informatics (11 citations) and Molecular Biology (552 citations). Cathy Wang has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Steve W. Cui, Qi Wang, Minghao Zheng, Jiake Xu, Kirk Yip, Mingyong Xie, Shaoping Nie, Qingbin Guo, Glyn O. Phillips and Huihuang Ding. Their work appears in journals such as Blood, British Journal of Haematology, Food Hydrocolloids, Leukemia Research and JCO Clinical Cancer Informatics.

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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