Lawrence A. Quilliam
- Molecular Biology top 1%
- Cell Biology top 0.2%
- Immunology top 2%
- Physiology top 2%
- Oncology top 5%
- Co-authors
- Channing J. DerJohn F. RebhunAriel F. CastroGary BokochMichael P. LisantiMassimo SargiacomoShengwen Calvin LiTakashi Okamoto
- Topics
- Protein Kinase Regulation and GTPase Signaling (51 papers)PI3K/AKT/mTOR signaling in cancer (18 papers)Cell death mechanisms and regulation (13 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Lawrence A. Quilliam
90 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 5.3k
- Cell Biology 2.2k
- Immunology 1.2k
- Physiology 989
- Oncology 885
Countries citing papers authored by Lawrence A. Quilliam
This map shows the geographic impact of Lawrence A. Quilliam'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 A. Quilliam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence A. Quilliam more than expected).
Fields of papers citing papers by Lawrence A. Quilliam
This network shows the impact of papers produced by Lawrence A. Quilliam. 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 A. Quilliam. The network helps show where Lawrence A. Quilliam may publish in the future.
Co-authorship network of co-authors of Lawrence A. Quilliam
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence A. Quilliam. A scholar is included among the top collaborators of Lawrence A. Quilliam 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 A. Quilliam. Lawrence A. Quilliam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 58 | |
| 3 | 46 | |
| 4 | 86 | |
| 5 | 38 | |
| 6 | 92 | |
| 7 | 7 | |
| 8 | 89 | |
| 9 | 301 | |
| 10 | 49 | |
| 11 | 121 | |
| 12 | 78 | |
| 13 | 124 | |
| 14 | 43 | |
| 15 | 408 | |
| 16 | 269 | |
| 17 | 134 | |
| 18 | Co-purification and Direct Interaction of Ras with Caveolin, an Integral Membrane Protein of Caveolae Microdomainsbreakdown → | 904 |
| 19 | 40 | |
| 20 | 9 |
About Lawrence A. Quilliam
Lawrence A. Quilliam is a scholar working on Immunology and Allergy, Cell Biology and Molecular Biology, having authored 91 papers that have together received 7.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (51 papers), PI3K/AKT/mTOR signaling in cancer (18 papers) and Cell death mechanisms and regulation (13 papers). The work is most often cited by research in Cell Biology (2.2k citations), Immunology and Allergy (745 citations) and Molecular Biology (5.3k citations). Lawrence A. Quilliam has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Channing J. Der, John F. Rebhun, Ariel F. Castro, Gary Bokoch, Michael P. Lisanti, Massimo Sargiacomo, Shengwen Calvin Li, Takashi Okamoto, Kenneth Song and Geoffrey Clark. Their work appears in journals such as Science, Cell 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.