Robert Staszewski
Impact in
- Ophthalmology top 5%
- Ocular Diseases and Behçet’s Syndrome
- Glaucoma and retinal disorders
- Intraocular Surgery and Lenses
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- T-cell and B-cell Immunology
Papers in
-
- Probability and Statistical Research 3
- Statistical Methods in Epidemiology 2
- Statistical Methods in Clinical Trials 2
- Co-authors
- Richard D. Granstein (2 shared papers)Terrence L. Knisely (3 shared papers)Daniel M. Albert (1 shared paper)Remedios Nazareno (2 shared papers)Mark A. Latina (1 shared paper)Bryan K. Yamamoto (1 shared paper)Daniel N. Sauder (1 shared paper)Richard L. Gallo (1 shared paper)
- Journals
- Statistics in Medicine (3 papers)The Journal of Immunology (2 papers)Journal of Cutaneous Pathology (1 paper)Journal of Investigative Dermatology (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Robert Staszewski
9 papers receiving 377 citations
Peers
Comparison fields: 5 of 41
- Ophthalmology 148
- Immunology 77
- Dermatology 32
- Cellular and Molecular Neuroscience 42
- Biological Psychiatry 2
Countries citing papers authored by Robert Staszewski
This map shows the geographic impact of Robert Staszewski'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 Robert Staszewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Staszewski more than expected).
Fields of papers citing papers by Robert Staszewski
This network shows the impact of papers produced by Robert Staszewski. 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 Robert Staszewski. The network helps show where Robert Staszewski may publish in the future.
Co-authors
The 14 scholars most cited alongside Robert Staszewski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 218 | |
| 2 | 2006 | 50 | |
| 3 | 1991 | 49 | |
| 4 | 2008 | 33 | |
| 5 | Cloning by limiting dilution: an improved estimate that an interesting culture is monoclonal. | 1985 | 28 |
| 6 | 1990 | 12 | |
| 7 | 1990 | 3 | |
| 8 | 1991 | 2 | |
| 9 | 1992 | 2 |
About Robert Staszewski
Robert Staszewski is a scholar working on Statistics and Probability, Dermatology, Hematology, Immunology and Ophthalmology, having authored 9 papers that have together received 397 indexed citations. Recurring topics across this work include Probability and Statistical Research (3 papers), T-cell and B-cell Immunology (2 papers), TGF-β signaling in diseases (2 papers), Statistical Methods in Epidemiology (2 papers), Statistical Methods in Clinical Trials (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Dermatological and Skeletal Disorders (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Ophthalmology (148 citations), Immunology (77 citations), Dermatology (32 citations), Cellular and Molecular Neuroscience (42 citations) and Biological Psychiatry (2 citations). Robert Staszewski has collaborated with scholars based in United States and Canada. Frequent co-authors include Richard D. Granstein, Terrence L. Knisely, Daniel M. Albert, Remedios Nazareno, Mark A. Latina, Bryan K. Yamamoto, Daniel N. Sauder, Richard L. Gallo, Artur Zembowicz and Kenneth Yee Tsai. Their work appears in journals such as Statistics in Medicine, The Journal of Immunology, Journal of Cutaneous Pathology, Journal of Investigative Dermatology and Journal of Neurochemistry.
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.