Lucy Lam
Impact in
Papers in
-
- Myasthenia Gravis and Thymoma 4
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- Jingji Jin (2 shared papers)Brian Giunta (2 shared papers)Demian F. Obregon (1 shared paper)Lisa W. Le (1 shared paper)Jared C. Ehrhart (1 shared paper)Jun Tan (1 shared paper)R. Douglas Shytle (1 shared paper)Frank Fernandez (1 shared paper)
- Journals
- The Lancet Neurology (3 papers)JAMA Neurology (1 paper)Molecular Brain (1 paper)The Lancet (1 paper)PubMed (1 paper)
- Partner nations
- United StatesAustraliaNew Zealand
In The Last Decade
Lucy Lam
7 papers receiving 1.2k citations
Lucy Lam's Hit Papers
Peers
Comparison fields: 5 of 66
- Neurology 795
- Virology 82
- Anesthesiology and Pain Medicine 49
- Infectious Diseases 162
- Biological Psychiatry 17
Countries citing papers authored by Lucy Lam
This map shows the geographic impact of Lucy Lam'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 Lucy Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy Lam more than expected).
Fields of papers citing papers by Lucy Lam
This network shows the impact of papers produced by Lucy Lam. 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 Lucy Lam. The network helps show where Lucy Lam may publish in the future.
Co-authors
The 8 scholars most cited alongside Lucy Lam, 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 | Safety, efficacy, and tolerability of efgartigimod in patients with generalised myasthenia gravis (ADAPT): a multicentre, randomised, placebo-controlled, phase 3 trial Hit paper breakdown → | 2021 | 505 |
| 2 | Safety and efficacy of rozanolixizumab in patients with generalised myasthenia gravis (MycarinG): a randomised, double-blind, placebo-controlled, adaptive phase 3 study Hit paper breakdown → | 2023 | 181 |
| 3 | Safety and efficacy of zilucoplan in patients with generalised myasthenia gravis (RAISE): a randomised, double-blind, placebo-controlled, phase 3 study Hit paper breakdown → | 2023 | 168 |
| 4 | 2020 | 153 | |
| 5 | 2019 | 124 | |
| 6 | 2011 | 89 | |
| 7 | HIV-1 Tat-induced microglial activation and neuronal damage is inhibited via CD45 modulation: A potential new treatment target for HAND. | 2012 | 20 |
About Lucy Lam
Lucy Lam is a scholar working on Neurology, Virology, Neurology, Emergency Medicine and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), HIV Research and Treatment (2 papers), HIV-related health complications and treatments (1 paper), Alzheimer's disease research and treatments (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Neurology (795 citations), Virology (82 citations), Anesthesiology and Pain Medicine (49 citations), Infectious Diseases (162 citations) and Biological Psychiatry (17 citations). Lucy Lam has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Jingji Jin, Brian Giunta, Demian F. Obregon, Lisa W. Le, Jared C. Ehrhart, Jun Tan, R. Douglas Shytle and Frank Fernandez. Their work appears in journals such as The Lancet Neurology, JAMA Neurology, Molecular Brain, The Lancet and PubMed.
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.