Shanghai Institute of Hematology

142.7k citations
5.1k papers ·

Impact in

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

Papers in

Shanghai Institute of Hematology

4.2k papers receiving 122.2k citations

Peers

Shanghai Institute of Hematology
Comparison fields: 5 of 226
  • Hematology 16.3k
  • Cancer Research 15.1k
  • Molecular Biology 59.3k
  • Oncology 17.0k
  • Immunology 13.2k
Replace First Affiliated Hospital of Soochow University with:
First Affiliated Hospital of Soochow University China
Changhai Hospital China
Zhejiang Chinese Medical University China
Huashan Hospital China
Shanghai Tenth People's Hospital China
Shanghai First People's Hospital China
Ruijin Hospital China
Nanjing University of Chinese Medicine China
Sir Run Run Shaw Hospital China
First Affiliated Hospital of Wenzhou Medical University China
Shanghai Institute of Hematology relative to First Affiliated Hospital of Soochow University China First Affiliated Hospital of Soochow University's profile →
Citations per field
00.5×1.5×
First Affiliated Hospital of Soochow University · 1×
Citations per year

Countries citing scholars working at Shanghai Institute of Hematology

Since Specialization
Citations

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

Fields of papers published by authors at Shanghai Institute of Hematology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Shanghai Institute of Hematology 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 Shanghai Institute of Hematology at the time of their publication.

About Shanghai Institute of Hematology

In recent decades, authors affiliated with Shanghai Institute of Hematology have published 5.1k papers, which have received a total of 142.7k indexed citations . Scholars at this organization have produced 628 papers in Hematology, 383 papers in Cancer Research, 608 papers in Oncology, 172 papers in Hepatology and 1.6k papers in Molecular Biology on the topics of Acute Myeloid Leukemia Research (381 papers), Retinoids in leukemia and cellular processes (278 papers), Lymphoma Diagnosis and Treatment (162 papers), Epigenetics and DNA Methylation (156 papers), RNA modifications and cancer (145 papers), Immune Cell Function and Interaction (119 papers), CAR-T cell therapy research (111 papers) and Cancer-related molecular mechanisms research (110 papers). Their work is cited by papers focused on Hematology (16.3k citations), Cancer Research (15.1k citations), Molecular Biology (59.3k citations), Oncology (17.0k citations) and Immunology (13.2k citations). Authors at Shanghai Institute of Hematology collaborate with scholars in China, United States and France and have published in prestigious journals including Blood, Proceedings of the National Academy of Sciences, Scientific Reports, Frontiers of Medicine and Frontiers in Oncology. Some of Shanghai Institute of Hematology's most productive authors include Jing‐Yuan Fang, Sai‐Juan Chen, Zhenyi Wang, Hugues de Thé, Zhu Chen, Zhu Chen, Bruce C. Richardson, Yan Y. Song, Ying Lü and Guang Ning.

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