B J Starman
- Genetics top 5%
- Rheumatology top 5%
- Molecular Biology
- Epidemiology
- Oncology
- Co-authors
- Peter H. ByersDaniel H. CohnPetros TsipourasJeffrey BonadioRobin SchwartzMarcia WillingBruce BlumbergGillian A. Wallis
- Topics
- Connective tissue disorders research (11 papers)Bone and Dental Protein Studies (10 papers)Dermatological and Skeletal Disorders (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
B J Starman
12 papers receiving 750 citations
Peers
Comparison fields: 5 of 65
- Genetics 620
- Rheumatology 299
- Molecular Biology 234
- Epidemiology 117
- Oncology 116
Countries citing papers authored by B J Starman
This map shows the geographic impact of B 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 B 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 B J Starman more than expected).
Fields of papers citing papers by B J Starman
This network shows the impact of papers produced by B 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 B J Starman. The network helps show where B J Starman may publish in the future.
Co-authorship network of co-authors of B J Starman
This figure shows the co-authorship network connecting the top 25 collaborators of B J Starman. A scholar is included among the top collaborators of B 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 B J Starman. B 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 | 12 | |
| 2 | 18 | |
| 3 | Distinct biochemical phenotypes predict clinical severity in nonlethal variants of osteogenesis imperfecta. | 88 |
| 4 | Variable expression of osteogenesis imperfecta in a nuclear family is explained by somatic mosaicism for a lethal point mutation in the alpha 1(I) gene (COL1A1) of type I collagen in a parent. | 84 |
| 5 | Recurrence of lethal osteogenesis imperfecta due to parental mosaicism for a dominant mutation in a human type I collagen gene (COL1A1). | 135 |
| 6 | 20 | |
| 7 | 67 | |
| 8 | 39 | |
| 9 | 34 | |
| 10 | Perinatal lethal osteogenesis imperfecta (OI type II): a biochemically heterogeneous disorder usually due to new mutations in the genes for type I collagen. | 181 |
| 11 | 73 | |
| 12 | 17 |
About B J Starman
B J Starman is a scholar working on Rheumatology, Genetics and Cancer Research, having authored 12 papers that have together received 768 indexed citations. Recurring topics across this work include Connective tissue disorders research (11 papers), Bone and Dental Protein Studies (10 papers) and Dermatological and Skeletal Disorders (2 papers). The work is most often cited by research in Genetics (620 citations), Rheumatology (299 citations) and Immunology and Allergy (89 citations). B J Starman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Peter H. Byers, Daniel H. Cohn, Petros Tsipouras, Jeffrey Bonadio, Robin Schwartz, Marcia Willing, Bruce Blumberg, Gillian A. Wallis, Richard Wenstrup and Harry Charbonneau. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Life 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.