Jeffrey D. Brown
- Molecular Biology top 2%
- Surgery top 5%
- Biomedical Engineering top 5%
- Genetics top 5%
- Cell Biology top 5%
- Co-authors
- Randall T. MoonJeffrey R. MillerAndrew W. DuncanJohn R. YatesTannishtha ReyaRoel NusseIrving L. WeissmanEsther Danenberg
- Topics
- Surgical Simulation and Training (7 papers)Wnt/β-catenin signaling in development and cancer (7 papers)Cancer-related gene regulation (6 papers)
- Cited by
- Molecular BiologyCell BiologySurgery
- Journals
- NatureCellDevelopment
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Jeffrey D. Brown
32 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 3.0k
- Surgery 702
- Biomedical Engineering 565
- Genetics 442
- Cell Biology 397
Countries citing papers authored by Jeffrey D. Brown
This map shows the geographic impact of Jeffrey D. 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 Jeffrey D. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey D. Brown more than expected).
Fields of papers citing papers by Jeffrey D. Brown
This network shows the impact of papers produced by Jeffrey D. 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 Jeffrey D. Brown. The network helps show where Jeffrey D. Brown may publish in the future.
Co-authorship network of co-authors of Jeffrey D. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Brown. A scholar is included among the top collaborators of Jeffrey D. 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 Jeffrey D. Brown. Jeffrey D. 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 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 169 | |
| 6 | 44 | |
| 7 | Wnt proteins are lipid-modified and can act as stem cell growth factorsbreakdown → | 1760 |
| 8 | 96 | |
| 9 | 23 | |
| 10 | 65 | |
| 11 | 30 | |
| 12 | 17 | |
| 13 | Mechanism and function of signal transduction by the Wnt/β-catenin and Wnt/Ca2+ pathwaysbreakdown → | 598 |
| 14 | 7 | |
| 15 | 94 | |
| 16 | 106 | |
| 17 | 2 | |
| 18 | 392 | |
| 19 | 122 | |
| 20 | 9 |
About Jeffrey D. Brown
Jeffrey D. Brown is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Surgery, having authored 33 papers that have together received 4.2k indexed citations. Recurring topics across this work include Surgical Simulation and Training (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Cancer-related gene regulation (6 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Cell Biology (397 citations) and Surgery (702 citations). Jeffrey D. Brown has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Randall T. Moon, Jeffrey R. Miller, Andrew W. Duncan, John R. Yates, Tannishtha Reya, Roel Nusse, Irving L. Weissman, Esther Danenberg, Karl Willert and Anne M. Hocking. Their work appears in journals such as Nature, Cell and Development.
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.