PJ Newman
Impact in
- Hematology top 1%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Blood Coagulation and Thrombosis Mechanisms
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
Papers in
- Hematology 23
- Platelet Disorders and Treatments 23
- Blood groups and transfusion 9
- Co-authors
- TJ KunickiUri SeligsohnBarry S. CollerSuzanne LymanRichard H. AsterDaniel B. BellissimoMW MosessonBjøŕn Skogen
- Journals
- Blood (18 papers)Australian Journal of Chemistry (3 papers)Transfusion (2 papers)Journal of Biological Chemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
PJ Newman
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Hematology 847
- Immunology and Allergy 377
- Genetics 230
- Genetics 77
- Pulmonary and Respiratory Medicine 187
Countries citing papers authored by PJ Newman
This map shows the geographic impact of PJ Newman'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 PJ Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PJ Newman more than expected).
Fields of papers citing papers by PJ Newman
This network shows the impact of papers produced by PJ Newman. 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 PJ Newman. The network helps show where PJ Newman may publish in the future.
Co-authors
The 25 scholars most cited alongside PJ Newman, 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 | A frameshift mutation at Gly975 in the transmembrane domain of GPIIb prevents GPIIb-IIIa expression--analysis of two novel mutations in a kindred with type I glanzmann thrombasthenia. | 1998 | 7 |
| 2 | 1995 | 4 | |
| 3 | 1994 | 122 | |
| 4 | 1994 | 43 | |
| 5 | 1992 | 2 | |
| 6 | 1992 | 125 | |
| 7 | 1992 | 67 | |
| 8 | 1991 | 33 | |
| 9 | 1991 | 40 | |
| 10 | 1991 | 133 | |
| 11 | 1990 | 2 | |
| 12 | 1990 | 27 | |
| 13 | 1988 | 18 | |
| 14 | 1988 | 6 | |
| 15 | 1987 | 41 | |
| 16 | 1985 | 35 | |
| 17 | 1985 | 23 | |
| 18 | 1985 | 7 | |
| 19 | 1978 | 10 | |
| 20 | 1977 | 20 |
About PJ Newman
PJ Newman is a scholar working on Hematology, Internal Medicine, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (23 papers), Blood groups and transfusion (9 papers), Heparin-Induced Thrombocytopenia and Thrombosis (7 papers), Blood properties and coagulation (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Blood disorders and treatments (4 papers), Autoimmune Bullous Skin Diseases (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Hematology (847 citations), Immunology and Allergy (377 citations), Genetics (230 citations), Genetics (77 citations) and Pulmonary and Respiratory Medicine (187 citations). PJ Newman has collaborated with scholars based in United States and Israel. Frequent co-authors include TJ Kunicki, Uri Seligsohn, Barry S. Coller, Suzanne Lyman, Richard H. Aster, Daniel B. Bellissimo, MW Mosesson, Bjøŕn Skogen, Martin J. Hessner and JG McFarland. Their work appears in journals such as Blood, Australian Journal of Chemistry, Transfusion, Journal of Biological Chemistry and Proceedings of the National Academy of 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.