Lai Ding
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior
- Biochemical and Structural Characterization
- RNA Interference and Gene Delivery
- Protein Hydrolysis and Bioactive Peptides
Papers in ⓘ
-
- Antimicrobial Peptides and Activities 3
- Co-authors
- Huey W. Huang (6 shared papers)Lin Yang (6 shared papers)Thomas Weiß (4 shared papers)Thad A. Harroun (1 shared paper)Alan J. Waring (2 shared papers)Robert I. Lehrer (2 shared papers)Chung‐Kil Won (1 shared paper)Suyan Li (1 shared paper)
- Journals
- Biochemistry (3 papers)Langmuir (2 papers)Blood (1 paper)Journal of the American Society of Nephrology (1 paper)Acta Neuropathologica (1 paper)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Lai Ding
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Microbiology 772
- Molecular Biology 1.1k
- Immunology 172
- Neurology 64
- Developmental Neuroscience 31
Countries citing papers authored by Lai Ding
This map shows the geographic impact of Lai Ding'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 Lai Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai Ding more than expected).
Fields of papers citing papers by Lai Ding
This network shows the impact of papers produced by Lai Ding. 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 Lai Ding. The network helps show where Lai Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Lai Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Barrel-Stave Model or Toroidal Model? A Case Study on Melittin Pores Hit paper breakdown → | 2001 | 887 |
| 2 | 2019 | 111 | |
| 3 | 2003 | 95 | |
| 4 | 2003 | 80 | |
| 5 | 2013 | 70 | |
| 6 | 2002 | 41 | |
| 7 | 2012 | 31 | |
| 8 | 2015 | 26 | |
| 9 | 2004 | 26 | |
| 10 | 2020 | 22 | |
| 11 | 2014 | 20 | |
| 12 | 2020 | 18 | |
| 13 | 2004 | 8 | |
| 14 | 2014 | 1 |
About Lai Ding
Lai Ding is a scholar working on Microbiology, Neurology, Developmental Neuroscience, Sensory Systems and Biochemistry, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Antimicrobial Peptides and Activities (3 papers), Biochemical and Structural Characterization (2 papers), RNA Interference and Gene Delivery (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Peptidase Inhibition and Analysis (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Microbiology (772 citations), Molecular Biology (1.1k citations), Immunology (172 citations), Neurology (64 citations) and Developmental Neuroscience (31 citations). Lai Ding has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Huey W. Huang, Lin Yang, Thomas Weiß, Thad A. Harroun, Alan J. Waring, Robert I. Lehrer, Chung‐Kil Won, Suyan Li, Zhicheng Lin and Gábor Szabó. Their work appears in journals such as Biochemistry, Langmuir, Blood, Journal of the American Society of Nephrology and Acta Neuropathologica.
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.