Zhu‐li Wan

858 citations
27 papers · 571 · h-index 14

Impact in

Papers in

    • Protein Structure and Dynamics 10
    • Glycosylation and Glycoproteins Research 7
    • Metabolism, Diabetes, and Cancer 4
    • Enzyme Structure and Function 6

Zhu‐li Wan

26 papers receiving 567 citations

Peers

Zhu‐li Wan
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 107
  • Molecular Biology 435
  • Biophysics 28
  • Surgery 167
  • Cell Biology 56
Replace Brian Gau with:
Brian Gau United States
H A Lardy United States
Frances C. Womack United States
William F. Benisek United States
Hadassa Weintraub France
Junji Emura Japan
John Sowell United States
Y. Nishina Japan
W S Allison United States
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Citations per field
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Citations per year

Countries citing papers authored by Zhu‐li Wan

Since Specialization
Citations

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

Fields of papers citing papers by Zhu‐li Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhu‐li Wan. 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 Zhu‐li Wan. The network helps show where Zhu‐li Wan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199697
2 200386
3 200555
4 200545
5 201139
6 200432
7 200929
8 201425
9 200822
10 201022
11 200221
12 200320
13 200120
14 199416
15 200912
16
Molecular structure and absolute configuration of the diterpene lactone, praelolide.
19855
17
Isolation, crystallization and preliminary crystallographic analysis of R-phycocyanin from Polysiphonia urceolata
19955
18 19825
19 19984
20 19833

About Zhu‐li Wan

Zhu‐li Wan is a scholar working on Molecular Biology, Materials Chemistry, Surgery, Spectroscopy and Organic Chemistry, having authored 27 papers that have together received 571 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Glycosylation and Glycoproteins Research (7 papers), Enzyme Structure and Function (6 papers), Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Molecular spectroscopy and chirality (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (107 citations), Molecular Biology (435 citations), Biophysics (28 citations), Surgery (167 citations) and Cell Biology (56 citations). Zhu‐li Wan has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Michael A. Weiss, Shi-Quan Hu, Panayotis G. Katsoyannis, Paul Carey, Jian Dong, Wenrui Chang, Ying-Chi Chu, Maxim N. Popov, Kun Huang and Zixuan Yang. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Molecular Biology, IUBMB Life and Journal of the American Chemical Society.

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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