PJ Newman

1.3k citations
26 papers · 1.1k indexed · h-index 18

Impact in

  • Hematology top 1%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Blood Coagulation and Thrombosis Mechanisms
    • Cell Adhesion Molecules Research

Papers in

PJ Newman

26 papers receiving 1.0k citations

Peers

PJ Newman
Comparison fields: 5 of 83
  • Hematology 847
  • Immunology and Allergy 377
  • Genetics 230
  • Genetics 77
  • Pulmonary and Respiratory Medicine 187
Replace J-M Freyssinet with:
J-M Freyssinet France
J.S. Rosenberg United States
Malou Philips Denmark
Hironobu Shibata Japan
Benjamin D. Hedley Canada
Con Panousis Australia
RF Zwaal Netherlands
C Jasmin France
T Kobayashi Japan
M. Voskuilen Netherlands
PJ Newman relative to J-M Freyssinet France J-M Freyssinet's profile →
Citations per field
00.5×11.1×
J-M Freyssinet · 1×
Citations per year

Countries citing papers authored by PJ Newman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with PJ Newman Line = papers co-authored together PJ Newman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#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.
19987
2 19954
3 1994122
4 199443
5 19922
6 1992125
7 199267
8 199133
9 199140
10 1991133
11 19902
12 199027
13 198818
14 19886
15 198741
16 198535
17 198523
18 19857
19 197810
20 197720

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.

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