Li‐Ching Lai
Impact in
- Endocrinology top 0.2%
- Escherichia coli research studies
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Escherichia coli research studies 6
-
- Amino Acid Enzymes and Metabolism 5
- Co-authors
- Michael S. Donnenberg (6 shared papers)Barry P. McNamara (2 shared papers)James B. Kaper (2 shared papers)Timothy K. McDaniel (2 shared papers)Karen G. Jarvis (2 shared papers)Chien‐liang Glenn Lin (6 shared papers)Simon J. Elliott (1 shared paper)Leslie A. Wainwright (1 shared paper)
- Journals
- Gene (2 papers)Molecular Microbiology (2 papers)Journal of Clinical Investigation (1 paper)Infection and Immunity (1 paper)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Li‐Ching Lai
14 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 64
- Endocrinology 1.1k
- Biochemistry 150
- Cellular and Molecular Neuroscience 223
- Neurology 62
- Physiology 121
Countries citing papers authored by Li‐Ching Lai
This map shows the geographic impact of Li‐Ching Lai'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 Li‐Ching Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Ching Lai more than expected).
Fields of papers citing papers by Li‐Ching Lai
This network shows the impact of papers produced by Li‐Ching Lai. 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 Li‐Ching Lai. The network helps show where Li‐Ching Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐Ching Lai, 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 | 1998 | 565 | |
| 2 | 1996 | 235 | |
| 3 | 2004 | 180 | |
| 4 | 2000 | 156 | |
| 5 | 2014 | 133 | |
| 6 | 2015 | 130 | |
| 7 | 2006 | 73 | |
| 8 | 2010 | 72 | |
| 9 | 2010 | 71 | |
| 10 | 2002 | 52 | |
| 11 | 2011 | 47 | |
| 12 | 1997 | 37 | |
| 13 | 1996 | 29 | |
| 14 | 1992 | 13 |
About Li‐Ching Lai
Li‐Ching Lai is a scholar working on Endocrinology, Biochemistry, Cellular and Molecular Neuroscience, Physiology and Oncology, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Escherichia coli research studies (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (2 papers), RNA and protein synthesis mechanisms (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), ATP Synthase and ATPases Research (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Endocrinology (1.1k citations), Biochemistry (150 citations), Cellular and Molecular Neuroscience (223 citations), Neurology (62 citations) and Physiology (121 citations). Li‐Ching Lai has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Michael S. Donnenberg, Barry P. McNamara, James B. Kaper, Timothy K. McDaniel, Karen G. Jarvis, Chien‐liang Glenn Lin, Simon J. Elliott, Leslie A. Wainwright, B. Brett Finlay and Brendan Kenny. Their work appears in journals such as Gene, Molecular Microbiology, Journal of Clinical Investigation, Infection and Immunity and Archives of Biochemistry and Biophysics.
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.