SL Newman

745 citations
11 papers · 689 · h-index 8

Impact in

  • Immunology top 5%
    • Complement system in diseases
  • Hematology top 5%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments

Papers in

    • Complement system in diseases 4
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Immune Cell Function and Interaction 2
    • Blood groups and transfusion 2
    • Hemophilia Treatment and Research 1

SL Newman

11 papers receiving 624 citations

Peers

SL Newman
Comparison fields: 5 of 77
  • Immunology 480
  • Hematology 226
  • Immunology and Allergy 97
  • Radiology, Nuclear Medicine and Imaging 150
  • Genetics 65
Replace Tomoaki Kuwaki with:
Tomoaki Kuwaki Japan
A K Matsumoto United States
PM Guyre United States
L. D. Shultz United States
Yun‐Feng Piao China
Keisuke Horikawa Australia
Uri Nir Israel
Franz Kricek Austria
L E Ramm United States
Bent Rubin France
SL Newman relative to Tomoaki Kuwaki Japan Tomoaki Kuwaki's profile →
Citations per field
00.5×1.5×1.9×
Tomoaki Kuwaki · 1×
Citations per year

Countries citing papers authored by SL Newman

Since Specialization
Citations

This map shows the geographic impact of SL 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 SL Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SL Newman more than expected).

Fields of papers citing papers by SL Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by SL 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 SL Newman. The network helps show where SL Newman may publish in the future.

Co-authors

The 22 scholars most cited alongside SL 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 SL Newman Line = papers co-authored together SL Newman links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1982268
2 1983143
3 198591
4 198586
5 198335
6
Plasmin activity and complement activation during storage of citrated platelet concentrates.
198925
7
Assignment of the rhodopsin gene to human chromosome 3.
198620
8 198511
9 19855
10 19924
11 19831

About SL Newman

SL Newman is a scholar working on Immunology, Hematology, Molecular Biology, Epidemiology and Physiology, having authored 11 papers that have together received 689 indexed citations. Recurring topics across this work include Complement system in diseases (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), S100 Proteins and Annexins (2 papers), Blood groups and transfusion (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Immune Cell Function and Interaction (2 papers), Nitric Oxide and Endothelin Effects (1 paper) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Immunology (480 citations), Hematology (226 citations), Immunology and Allergy (97 citations), Radiology, Nuclear Medicine and Imaging (150 citations) and Genetics (65 citations). SL Newman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include G D Ross, John D. Lambris, TA Springer, J. Watson, P J Lachmann, RA Thompson, R. A. Harrison, Mark Walport, Root Rk and WM Nauseef. Their work appears in journals such as Blood, The Journal of Immunology, The Journal of Experimental Medicine and PubMed.

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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