Lawrence F. Brown
- Molecular Biology top 0.2%
- Oncology top 0.2%
- Cancer Research top 0.1%
- Immunology top 0.5%
- Surgery top 1%
- Co-authors
- Harold F. DvorakMichael DetmarAnn M. DvořàkBrygida BerseDonald R. SengerLivingston Van De WaterK TognazziJanice A. Nagy
- Topics
- Angiogenesis and VEGF in Cancer (55 papers)Lymphatic System and Diseases (18 papers)Cancer, Hypoxia, and Metabolism (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Lawrence F. Brown
111 papers receiving 22.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 13.7k
- Oncology 6.1k
- Cancer Research 5.2k
- Immunology 2.7k
- Surgery 2.5k
Countries citing papers authored by Lawrence F. Brown
This map shows the geographic impact of Lawrence F. Brown'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. Brown 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. Brown more than expected).
Fields of papers citing papers by Lawrence F. Brown
This network shows the impact of papers produced by Lawrence F. Brown. 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. Brown. The network helps show where Lawrence F. Brown may publish in the future.
Co-authorship network of co-authors of Lawrence F. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence F. Brown. A scholar is included among the top collaborators of Lawrence F. Brown 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. Brown. Lawrence F. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 73 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 133 | |
| 6 | 65 | |
| 7 | 84 | |
| 8 | 11 | |
| 9 | Systemic inhibition of tumor growth and angiogenesis by thrombospondin-2 using cell-based antiangiogenic gene therapy. | 54 |
| 10 | 436 | |
| 11 | 82 | |
| 12 | 22 | |
| 13 | 268 | |
| 14 | 194 | |
| 15 | 401 | |
| 16 | 213 | |
| 17 | 114 | |
| 18 | Vascular permeability factor (vascular endothelial growth factor) gene is expressed differentially in normal tissues, macrophages, and tumors.breakdown → | 796 |
| 19 | 419 | |
| 20 | 335 |
About Lawrence F. Brown
Lawrence F. Brown is a scholar working on Immunology and Allergy, Cancer Research and Internal Medicine, having authored 111 papers that have together received 23.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (55 papers), Lymphatic System and Diseases (18 papers) and Cancer, Hypoxia, and Metabolism (16 papers). The work is most often cited by research in Cancer Research (5.2k citations), Immunology and Allergy (2.0k citations) and Oncology (6.1k citations). Lawrence F. Brown has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Harold F. Dvorak, Michael Detmar, Ann M. Dvořàk, Brygida Berse, Donald R. Senger, Livingston Van De Water, K Tognazzi, Janice A. Nagy, E J Manseau and Robert W. Jackman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.