Peter J. Newman
Impact in
- Immunology and Allergy top 0.02%
- Cell Adhesion Molecules Research
- Hematology top 0.05%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Blood Coagulation and Thrombosis Mechanisms
Papers in
-
- Cell Adhesion Molecules Research 107
- Hematology 125
- Platelet Disorders and Treatments 121
- Blood groups and transfusion 25
- Co-authors
- Debra K. NewmanSteven Μ. AlbeldaWilliam A. MüllerCathy PaddockSanford J. ShattilRichard H. AsterC A BuckJamie R. Privratsky
- Journals
- Blood (46 papers)Journal of Non-Crystalline Solids (22 papers)Journal of Biological Chemistry (14 papers)Journal of Clinical Investigation (13 papers)Thrombosis and Haemostasis (9 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Peter J. Newman
222 papers receiving 13.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Immunology and Allergy 4.8k
- Hematology 5.4k
- Immunology 3.0k
- Internal Medicine 294
- Cell Biology 1.1k
Countries citing papers authored by Peter J. Newman
This map shows the geographic impact of Peter J. 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 Peter J. Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Newman more than expected).
Fields of papers citing papers by Peter J. Newman
This network shows the impact of papers produced by Peter J. 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 Peter J. Newman. The network helps show where Peter J. Newman may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter J. 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 | 2013 | 38 | |
| 2 | 2011 | 35 | |
| 3 | 2011 | 37 | |
| 4 | 2011 | 16 | |
| 5 | 2010 | 61 | |
| 6 | 2010 | 12 | |
| 7 | 2010 | 14 | |
| 8 | 2010 | 1 | |
| 9 | 2008 | 87 | |
| 10 | 1999 | 26 | |
| 11 | 1999 | 220 | |
| 12 | 1997 | 85 | |
| 13 | 1997 | 75 | |
| 14 | 1995 | 60 | |
| 15 | 1994 | 71 | |
| 16 | 1994 | 22 | |
| 17 | 1993 | 108 | |
| 18 | 1992 | 67 | |
| 19 | 1992 | 136 | |
| 20 | 1988 | 162 |
About Peter J. Newman
Peter J. Newman is a scholar working on Immunology and Allergy, Hematology, Ceramics and Composites, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 229 papers that have together received 13.6k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (121 papers), Cell Adhesion Molecules Research (107 papers), Glycosylation and Glycoproteins Research (27 papers), Blood groups and transfusion (25 papers), Glass properties and applications (24 papers), Blood properties and coagulation (19 papers), Heparin-Induced Thrombocytopenia and Thrombosis (18 papers) and Complement system in diseases (17 papers). The work is most often cited by research in Immunology and Allergy (4.8k citations), Hematology (5.4k citations), Immunology (3.0k citations), Internal Medicine (294 citations) and Cell Biology (1.1k citations). Peter J. Newman has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Debra K. Newman, Steven Μ. Albelda, William A. Müller, Cathy Paddock, Sanford J. Shattil, Richard H. Aster, C A Buck, Jamie R. Privratsky, Horace M. DeLisser and Jack Gorski. Their work appears in journals such as Blood, Journal of Non-Crystalline Solids, Journal of Biological Chemistry, Journal of Clinical Investigation and Thrombosis and Haemostasis.
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.