Peking University People's Hospital

209.7k citations
13.1k papers ·

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Hematopoietic Stem Cell Transplantation 559
    • Acute Myeloid Leukemia Research 430
    • Chronic Myeloid Leukemia Treatments 251

Peking University People's Hospital

9.6k papers receiving 169.6k citations

Peers

Peking University People's Hospital
Comparison fields: 5 of 239
  • Hematology 17.8k
  • Cancer Research 14.9k
  • Immunology 19.7k
  • Molecular Medicine 4.0k
  • Rheumatology 10.8k
Replace Peking University First Hospital with:
Peking University First Hospital China
Chinese PLA General Hospital China
Peking Union Medical College Hospital China
Qilu Hospital of Shandong University China
Beijing Chao-Yang Hospital, Capital Medical University China
Beijing Friendship Hospital China
China-Japan Friendship Hospital China
Chinese People's Liberation Army China
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Peking University People's Hospital relative to Peking University First Hospital China Peking University First Hospital's profile →
Citations per field
00.5×3.3×
Peking University First Hospital · 1×
Citations per year

Countries citing scholars working at Peking University People's Hospital

Since Specialization
Citations

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

Fields of papers published by authors at Peking University People's Hospital

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Peking University People's Hospital 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 Peking University People's Hospital at the time of their publication.

About Peking University People's Hospital

In recent decades, authors affiliated with Peking University People's Hospital have published 13.1k papers, which have received a total of 209.7k indexed citations . Scholars at this organization have produced 1.2k papers in Hematology, 767 papers in Rheumatology, 959 papers in Immunology, 317 papers in Hepatology and 415 papers in Genetics on the topics of Hematopoietic Stem Cell Transplantation (559 papers), Acute Myeloid Leukemia Research (430 papers), Immune Cell Function and Interaction (330 papers), T-cell and B-cell Immunology (255 papers), Chronic Myeloid Leukemia Treatments (251 papers), Acute Lymphoblastic Leukemia research (244 papers), Hepatitis B Virus Studies (191 papers) and Cancer-related molecular mechanisms research (176 papers). Their work is cited by papers focused on Hematology (17.8k citations), Cancer Research (14.9k citations), Immunology (19.7k citations), Molecular Medicine (4.0k citations) and Rheumatology (10.8k citations). Authors at Peking University People's Hospital collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including Blood, Scientific Reports, PLoS ONE, Medicine and Frontiers in Immunology. Some of Peking University People's Hospital's most productive authors include Xiao‐Jun Huang, Lan‐Ping Xu, Linong Ji, Kai‐Yan Liu, Yu Wang, Dayi Hu, Ying‐Jun Chang, Zhanguo Li, Linong Ji and Xiaohui Zhang.

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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