NS Young

5.6k citations
80 papers · 4.4k indexed · h-index 33

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

NS Young

76 papers receiving 4.3k citations

Peers

NS Young
Comparison fields: 5 of 103
  • Hematology 2.0k
  • Immunology 1.3k
  • Genetics 640
  • Infectious Diseases 1.1k
  • Dermatology 481
Replace Bernard Rio with:
Bernard Rio France
Keisei Kawa Japan
Yasuhito Nannya Japan
Koji Nagafuji Japan
M Kazatchkine France
G J Mufti United Kingdom
Yoichi Takaue Japan
Jean‐Paul Vernant France
M Séligmann France
Eddy Roosnek Switzerland
NS Young relative to Bernard Rio France Bernard Rio's profile →
Citations per field
00.5×4.3×
Bernard Rio · 1×
Citations per year

Countries citing papers authored by NS Young

Since Specialization
Citations

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

Fields of papers citing papers by NS Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside NS Young, 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 NS Young Line = papers co-authored together NS Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20129
3 201232
4 201176
5 2009126
6 20074
7 200031
8 20001
9 200012
10 199825
11 199838
12 199715
13 199786
14
Clinical and epidemiological features of simian parvovirus infection in cynomolgus macaques with severe anemia.
199620
15 199520
16
PARVOVIRUS B19 INFECTION AND HEMATOPOISIS
19951
17 199219
18 199217
19 198547
20
Aplastic anemia and stem cell biology.
19842

About NS Young

NS Young is a scholar working on Hematology, Infectious Diseases, Genetics, Virology and Immunology, having authored 80 papers that have together received 4.4k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (21 papers), Hematopoietic Stem Cell Transplantation (17 papers), Virus-based gene therapy research (11 papers), Prenatal Screening and Diagnostics (9 papers), Blood groups and transfusion (9 papers), Dermatological and COVID-19 studies (7 papers), Immune Cell Function and Interaction (5 papers) and Hemoglobinopathies and Related Disorders (5 papers). The work is most often cited by research in Hematology (2.0k citations), Immunology (1.3k citations), Genetics (640 citations), Infectious Diseases (1.1k citations) and Dermatology (481 citations). NS Young has collaborated with scholars based in United States, Thailand and Ukraine. Frequent co-authors include Carmine Selleri, Sarah N. Anderson, J Maciejewski, Jaroslaw P. Maciejewski, T Sato, JG Moore, AJ Barrett, Janice Kimball, D J Vining and Kevin Brown. Their work appears in journals such as Blood, Leukemia Research, Clinical Infectious Diseases, Journal of Clinical Investigation and Leukemia.

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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