Lawrence F. Eng
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Neurology top 0.1%
- Developmental Neuroscience top 0.1%
- Physiology top 1%
- Co-authors
- A. BignamiRoopa S. GhirnikarB. GerstlC. T. UyedaD. DahlJean‐Jacques VanderhaeghenJon C. KosekYuen Ling Lee
- Topics
- S100 Proteins and Annexins (38 papers)Neuroinflammation and Neurodegeneration Mechanisms (22 papers)Alzheimer's disease research and treatments (16 papers)
- Partner nations
- United StatesItalySweden
In The Last Decade
Lawrence F. Eng
164 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 6.7k
- Cellular and Molecular Neuroscience 3.3k
- Neurology 3.0k
- Developmental Neuroscience 2.2k
- Physiology 1.7k
Countries citing papers authored by Lawrence F. Eng
This map shows the geographic impact of Lawrence F. Eng'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 Lawrence F. Eng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence F. Eng more than expected).
Fields of papers citing papers by Lawrence F. Eng
This network shows the impact of papers produced by Lawrence F. Eng. 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 Lawrence F. Eng. The network helps show where Lawrence F. Eng may publish in the future.
Co-authorship network of co-authors of Lawrence F. Eng
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence F. Eng. A scholar is included among the top collaborators of Lawrence F. Eng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lawrence F. Eng. Lawrence F. Eng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | Spinal Cord Injury : Hope For A Cure | 1 |
| 3 | Glial Fibrillary Acidic Protein: GFAP-Thirty-One Years (1969–2000)breakdown → | 1118 |
| 4 | 22 | |
| 5 | 103 | |
| 6 | 32 | |
| 7 | 8 | |
| 8 | 41 | |
| 9 | 32 | |
| 10 | 168 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 40 | |
| 14 | 71 | |
| 15 | 81 | |
| 16 | 44 | |
| 17 | 7 | |
| 18 | 38 | |
| 19 | 6 | |
| 20 | 97 |
About Lawrence F. Eng
Lawrence F. Eng is a scholar working on Neurology, Developmental Neuroscience and Immunology and Allergy, having authored 164 papers that have together received 13.0k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (38 papers), Neuroinflammation and Neurodegeneration Mechanisms (22 papers) and Alzheimer's disease research and treatments (16 papers). The work is most often cited by research in Developmental Neuroscience (2.2k citations), Neurology (3.0k citations) and Cellular and Molecular Neuroscience (3.3k citations). Lawrence F. Eng has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include A. Bignami, Roopa S. Ghirnikar, B. Gerstl, C. T. Uyeda, D. Dahl, Jean‐Jacques Vanderhaeghen, Jon C. Kosek, Yuen Ling Lee, Robert K. Yu and Robert W. Ledeen. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.