Lan Wei

637 citations
22 papers · 540 · h-index 15

Impact in

    • Fluorine in Organic Chemistry
    • Synthesis and Catalytic Reactions
    • Catalytic C–H Functionalization Methods
    • Sulfur-Based Synthesis Techniques

Papers in

Lan Wei

22 papers receiving 528 citations

Peers

Lan Wei
Comparison fields: 5 of 76
  • Pharmaceutical Science 99
  • Organic Chemistry 292
  • Inorganic Chemistry 55
  • Endocrinology, Diabetes and Metabolism 58
  • Computational Theory and Mathematics 49
Replace Xun Ji with:
Xun Ji China
Alan J. Foubister United Kingdom
Magdy N. Iskander Australia
Larry A. Spangle United States
Ioannis N. Houpis United States
Scott Boyd United Kingdom
K. Mukkanti India
Christian Perreault United States
Raid J. Abdel‐Jalil Germany
Robert G. Franz United States
Lan Wei relative to Xun Ji China Xun Ji's profile →
Citations per field
00.5×3.8×
Xun Ji · 1×
Citations per year

Countries citing papers authored by Lan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200895
2 200173
3 200557
4 200144
5 200142
6 202128
7 200627
8 200026
9 202222
10 202122
11 202021
12 202318
13 202315
14 202015
15 200514
16 20195
17 20234
18
Clinical observation on acupuncture therapy for cerebral hemorrhage.
19894
19 20224
20 20222

About Lan Wei

Lan Wei is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Biochemistry and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 540 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Neuropeptides and Animal Physiology (3 papers), Enzyme Catalysis and Immobilization (3 papers), Chemical Synthesis and Analysis (3 papers), Diabetes Treatment and Management (3 papers), Synthesis and Catalytic Reactions (3 papers), Traditional and Medicinal Uses of Annonaceae (2 papers) and Adsorption and biosorption for pollutant removal (2 papers). The work is most often cited by research in Pharmaceutical Science (99 citations), Organic Chemistry (292 citations), Inorganic Chemistry (55 citations), Endocrinology, Diabetes and Metabolism (58 citations) and Computational Theory and Mathematics (49 citations). Lan Wei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include William D. Lubell, Barbara Leiting, Nancy A. Thornberry, Reshma A. Patel, Jinyou Xu, Ann E. Weber, Huaibing He, Kathryn A. Lyons, Joseph K. Wu and Yue Gao. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Organic Letters, Environmental Science Nano, Canadian Journal of Chemistry and Frontiers in Neuroscience.

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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