Jeffrey R. Millman
- Surgery top 0.5%
- Molecular Biology top 5%
- Genetics top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Biomedical Engineering top 5%
- Co-authors
- Felicia W. PagliucaDouglas A. MeltonKristina G. MaxwellMads GürtlerPunn AugsornworawatNathaniel J. HogrebeLeonardo Velazco-CruzQuinn P. Peterson
- Topics
- Pancreatic function and diabetes (34 papers)Diabetes and associated disorders (20 papers)Diabetes Management and Research (17 papers)
- Partner nations
- United StatesBelgiumDenmark
In The Last Decade
Jeffrey R. Millman
41 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Surgery 3.1k
- Molecular Biology 1.9k
- Genetics 1.6k
- Endocrinology, Diabetes and Metabolism 1.3k
- Biomedical Engineering 604
Countries citing papers authored by Jeffrey R. Millman
This map shows the geographic impact of Jeffrey R. Millman'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 R. Millman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey R. Millman more than expected).
Fields of papers citing papers by Jeffrey R. Millman
This network shows the impact of papers produced by Jeffrey R. Millman. 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 R. Millman. The network helps show where Jeffrey R. Millman may publish in the future.
Co-authorship network of co-authors of Jeffrey R. Millman
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey R. Millman. A scholar is included among the top collaborators of Jeffrey R. Millman 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 R. Millman. Jeffrey R. Millman 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 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | Developments in stem cell-derived islet replacement therapy for treating type 1 diabetesbreakdown → | 88 |
| 9 | 84 | |
| 10 | 3 | |
| 11 | 120 | |
| 12 | 11 | |
| 13 | 12 | |
| 14 | Generation of stem cell-derived β-cells from patients with type 1 diabetesbreakdown → | 295 |
| 15 | 68 | |
| 16 | Generation of Functional Human Pancreatic β Cells In Vitrobreakdown → | 1471 |
| 17 | 21 | |
| 18 | 55 | |
| 19 | Fabrication and Study of Simple and Robust Microfluidic Devices | 3 |
| 20 | 10 |
About Jeffrey R. Millman
Jeffrey R. Millman is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics, having authored 46 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (34 papers), Diabetes and associated disorders (20 papers) and Diabetes Management and Research (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Surgery (3.1k citations) and Genetics (1.6k citations). Jeffrey R. Millman has collaborated with scholars based in United States, Belgium and Denmark. Frequent co-authors include Felicia W. Pagliuca, Douglas A. Melton, Kristina G. Maxwell, Mads Gürtler, Punn Augsornworawat, Nathaniel J. Hogrebe, Leonardo Velazco-Cruz, Quinn P. Peterson, Michael Segel and Dale L. Greiner. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.
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.