New York Blood Center

152.6k citations
3.7k papers ·

Impact in

  • Hematology top 1%
    • Blood groups and transfusion
    • Hematopoietic Stem Cell Transplantation
  • Virology top 1%
    • HIV Research and Treatment

Papers in

    • Blood groups and transfusion 760
    • HIV Research and Treatment 294

New York Blood Center

3.4k papers receiving 142.0k citations

Peers

New York Blood Center
Comparison fields: 5 of 226
  • Hematology 29.8k
  • Virology 9.7k
  • Infectious Diseases 30.7k
  • Hepatology 11.8k
  • Genetics 13.0k
Replace GlaxoSmithKline (United States) with:
GlaxoSmithKline (United States) United States
Bristol-Myers Squibb (United States) United States
Fox Chase Cancer Center United States
Cancer Research Institute United States
The Wistar Institute United States
Center for Biologics Evaluation and Research United States
Merck & Co., Inc., Rahway, NJ, USA (United States) United States
Novartis (United States) United States
Molecular Oncology (United States) United States
American Red Cross United States
New York Blood Center relative to GlaxoSmithKline (United States) United States GlaxoSmithKline (United States)'s profile →
Citations per field
00.5×1.5×2.3×
GlaxoSmithKline (United States) · 1×
Citations per year

Countries citing scholars working at New York Blood Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at New York Blood Center. 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 papers produced at New York Blood Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites New York Blood Center more than expected).

Fields of papers published by authors at New York Blood Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with New York Blood Center at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with New York Blood Center at the time of their publication.

About New York Blood Center

In recent decades, authors affiliated with New York Blood Center have published 3.7k papers, which have received a total of 152.6k indexed citations . Scholars at this organization have produced 1.2k papers in Hematology, 298 papers in Virology, 431 papers in Genetics, 664 papers in Infectious Diseases and 770 papers in Physiology on the topics of Blood groups and transfusion (760 papers), Erythrocyte Function and Pathophysiology (737 papers), Hemoglobinopathies and Related Disorders (324 papers), HIV Research and Treatment (294 papers), Hepatitis B Virus Studies (238 papers), Blood properties and coagulation (214 papers), Hepatitis C virus research (181 papers) and HIV/AIDS Research and Interventions (174 papers). Their work is cited by papers focused on Hematology (29.8k citations), Virology (9.7k citations), Infectious Diseases (30.7k citations), Hepatology (11.8k citations) and Genetics (13.0k citations). Authors at New York Blood Center collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including Transfusion, Blood, Vox Sanguinis, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences. Some of New York Blood Center's most productive authors include Shibo Jiang, Narla Mohandas, James German, Lanying Du, Cladd E. Stevens, Alfred M. Prince, Marion E. Reid, Beryl A. Koblin, Colvin M. Redman and Asim K. Debnath.

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.

Explore institutions with similar magnitude of impact