Barbra J. Starman
- Molecular Biology
- Genetics top 10%
- Ecology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Robert H. WilliamsDavid P. HenryDavid G. JohnsonShirley C. GuthrieRobert L. SinsheimerPeter H. ByersChoh Hao LiDavid W. Rowe
- Topics
- Connective tissue disorders research (7 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)Cell Adhesion Molecules Research (3 papers)
- Partner nations
- United States
In The Last Decade
Barbra J. Starman
15 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 526
- Genetics 330
- Ecology 229
- Endocrinology, Diabetes and Metabolism 146
- Cardiology and Cardiovascular Medicine 133
Countries citing papers authored by Barbra J. Starman
This map shows the geographic impact of Barbra J. Starman'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 Barbra J. Starman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbra J. Starman more than expected).
Fields of papers citing papers by Barbra J. Starman
This network shows the impact of papers produced by Barbra J. Starman. 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 Barbra J. Starman. The network helps show where Barbra J. Starman may publish in the future.
Co-authorship network of co-authors of Barbra J. Starman
This figure shows the co-authorship network connecting the top 25 collaborators of Barbra J. Starman. A scholar is included among the top collaborators of Barbra J. Starman 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 Barbra J. Starman. Barbra J. Starman 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 | 59 | |
| 3 | 3 | |
| 4 | 50 | |
| 5 | 58 | |
| 6 | 29 | |
| 7 | 32 | |
| 8 | 6 | |
| 9 | 80 | |
| 10 | 31 | |
| 11 | A sensitive radioenzymatic assay for norepinephrine in tissues and plasmabreakdown → | 417 |
| 12 | 2 | |
| 13 | 28 | |
| 14 | 63 | |
| 15 | 49 | |
| 16 | The process of infection with bacteriophage φX174breakdown → | 346 |
About Barbra J. Starman
Barbra J. Starman is a scholar working on Immunology and Allergy, Genetics and Developmental Neuroscience, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Connective tissue disorders research (7 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Genetics (330 citations), Ecology (229 citations) and Endocrinology, Diabetes and Metabolism (146 citations). Barbra J. Starman has collaborated with scholars based in United States. Frequent co-authors include Robert H. Williams, David P. Henry, David G. Johnson, Shirley C. Guthrie, Robert L. Sinsheimer, Peter H. Byers, Choh Hao Li, David W. Rowe, Wilfred Y. Fujimoto and Ulrike Schwarze. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Molecular Biology.
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.