Wei‐Li Di

2.2k citations
43 papers · 1.5k · h-index 21

Impact in

Papers in

    • Connexins and lens biology 11
    • Nicotinic Acetylcholine Receptors Study 7
    • RNA Interference and Gene Delivery 4
    • Biochemical and Structural Characterization 4
    • Skin and Cellular Biology Research 12

Wei‐Li Di

42 papers receiving 1.4k citations

Peers

Wei‐Li Di
Comparison fields: 5 of 105
  • Sensory Systems 213
  • Endocrine and Autonomic Systems 132
  • Dermatology 164
  • Cell Biology 271
  • Immunology and Allergy 76
Replace Norman Michaud with:
Norman Michaud United States
Gabrielle R. Neises United States
Christina Wasmeier United Kingdom
Maria Vittoria Schiaffino Italy
Keiko Yamada Japan
Yandan Yang United States
Enrico Maria Surace Italy
M. Rosario Romero United Kingdom
Tomoyuki Tokunaga Japan
Seiya Mizuno Japan
Wei‐Li Di relative to Norman Michaud United States Norman Michaud's profile →
Citations per field
00.5×5.5×
Norman Michaud · 1×
Citations per year

Countries citing papers authored by Wei‐Li Di

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Li Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011237
2 2001134
3 2001115
4 200174
5 200470
6 200260
7 201558
8 201057
9 200247
10 201745
11 201544
12 200541
13 201240
14 201038
15 201637
16 200434
17 199833
18 199332
19 201327
20 200127

About Wei‐Li Di

Wei‐Li Di is a scholar working on Molecular Biology, Cell Biology, Dermatology, Genetics and Endocrine and Autonomic Systems, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (12 papers), Connexins and lens biology (11 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Circadian rhythm and melatonin (5 papers), Silk-based biomaterials and applications (4 papers), RNA Interference and Gene Delivery (4 papers) and Biochemical and Structural Characterization (4 papers). The work is most often cited by research in Sensory Systems (213 citations), Endocrine and Autonomic Systems (132 citations), Dermatology (164 citations), Cell Biology (271 citations) and Immunology and Allergy (76 citations). Wei‐Li Di has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David P. Kelsell, Mark Houseman, John Harper, I.M. Leigh, E.L. Rugg, Edel A. O’Toole, John Common, Daniel Zicha, Waseem Qasim and Yanan Zhu. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Pineal Research, Journal of Allergy and Clinical Immunology, Clinical Chemistry and Cell Communication & Adhesion.

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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