Jieyi Wang

1.3k citations
29 papers · 851 indexed · h-index 15

Impact in

Papers in

Jieyi Wang

27 papers receiving 824 citations

Peers

Jieyi Wang
Comparison fields: 5 of 86
  • Cancer Research 342
  • Immunology and Allergy 78
  • Hematology 127
  • Oncology 291
  • Genetics 70
Replace Trevor Price with:
Trevor Price United States
Isa M. Hussaini United States
Mike F. Burbridge France
Pamela Osenkowski United States
Gaynor Davies United Kingdom
Constadina Arvanitis United States
Simon A. Williams United States
Sadako Yamagata Japan
Yoshihiro Mitsuhashi Japan
Joshua C. Anderson United States
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Citations per field
00.5×1.5×2.4×
Trevor Price · 1×
Citations per year

Countries citing papers authored by Jieyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jieyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20247
5 20221
6 20222
7 202211
8 20213
9 200846
10
Severe hyperglycemia induced by kinase inhibitors of insulin-like growth factor-1 receptor in mice is associated with inhibition of insulin receptor signaling in skeletal muscle
20071
11 200718
12 200518
13 2003170
14 200263
15 200261
16 200043
17 20005
18 199718
19 199511
20 199511

About Jieyi Wang

Jieyi Wang is a scholar working on Cancer Research, Biotechnology, Oncology, Dermatology and Immunology and Allergy, having authored 29 papers that have together received 851 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (7 papers), Protease and Inhibitor Mechanisms (7 papers), Enzyme Production and Characterization (5 papers), Glycosylation and Glycoproteins Research (3 papers), Facial Rejuvenation and Surgery Techniques (3 papers), Signaling Pathways in Disease (3 papers), RNA Interference and Gene Delivery (2 papers) and Dermatologic Treatments and Research (2 papers). The work is most often cited by research in Cancer Research (342 citations), Immunology and Allergy (78 citations), Hematology (127 citations), Oncology (291 citations) and Genetics (70 citations). Jieyi Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jack Henkin, Pingping Lou, Rick Lesniewski, E. Reich, Qian Zhang, Susan E. Morgan-Lappe, Aparna V. Sarthy, Lawrence A. Vernetti, V. Nienaber and Xiaoli Huang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cellular Biochemistry, Protein Science, Analytical Biochemistry and Molecular Cancer Therapeutics.

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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