Robin Schwartz
- Genetics top 5%
- Molecular Biology
- Rheumatology top 10%
- Oncology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Petros TsipourasPeter H. ByersJeffrey BonadioB J StarmanFrancesco RamirezDominique WeilEllen MatloffTalia Donenberg
- Topics
- Connective tissue disorders research (7 papers)Genomic variations and chromosomal abnormalities (4 papers)Cell Adhesion Molecules Research (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Robin Schwartz
22 papers receiving 530 citations
Peers
Comparison fields: 5 of 73
- Genetics 379
- Molecular Biology 188
- Rheumatology 109
- Oncology 63
- Cardiology and Cardiovascular Medicine 51
Countries citing papers authored by Robin Schwartz
This map shows the geographic impact of Robin Schwartz'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 Robin Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Schwartz more than expected).
Fields of papers citing papers by Robin Schwartz
This network shows the impact of papers produced by Robin Schwartz. 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 Robin Schwartz. The network helps show where Robin Schwartz may publish in the future.
Co-authorship network of co-authors of Robin Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Robin Schwartz. A scholar is included among the top collaborators of Robin Schwartz 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 Robin Schwartz. Robin Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 33 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 8 | |
| 9 | 40 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 18 | |
| 13 | Perinatal lethal osteogenesis imperfecta (OI type II): a biochemically heterogeneous disorder usually due to new mutations in the genes for type I collagen. | 181 |
| 14 | Mild osteogenesis imperfecta is not always associated with defects in type i collagen and it is not always inherited as a dominant trait | 3 |
| 15 | 10 | |
| 16 | 56 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 8 |
About Robin Schwartz
Robin Schwartz is a scholar working on Immunology and Allergy, Genetics and Genetics, having authored 23 papers that have together received 553 indexed citations. Recurring topics across this work include Connective tissue disorders research (7 papers), Genomic variations and chromosomal abnormalities (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Genetics (379 citations), Immunology and Allergy (46 citations) and Rheumatology (109 citations). Robin Schwartz has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Petros Tsipouras, Peter H. Byers, Jeffrey Bonadio, B J Starman, Francesco Ramirez, Dominique Weil, Ellen Matloff, Talia Donenberg, Kristen M. Shannon and Karina L. Brierley. Their work appears in journals such as New England Journal of Medicine, Nucleic Acids Research and Neurology.
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.