Institute for Advanced Medical Research

23.3k citations
754 papers ·

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Hematology top 10%

Papers in

    • Immunotherapy and Immune Responses 70
    • Immune Cell Function and Interaction 57
    • T-cell and B-cell Immunology 34
    • CAR-T cell therapy research 33
    • Cancer Immunotherapy and Biomarkers 24
    • Cancer Cells and Metastasis 19

Institute for Advanced Medical Research

622 papers receiving 20.7k citations

Peers

Institute for Advanced Medical Research
Comparison fields: 5 of 207
  • Immunology 5.3k
  • Hematology 1.5k
  • Oncology 3.4k
  • Cancer Research 1.3k
  • Molecular Biology 5.8k
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Institute for Advanced Medical Research relative to Atotech (United States) United States Atotech (United States)'s profile →
Citations per field
00.5×1.5×2×2.4×
Atotech (United States) · 1×
Citations per year

Countries citing scholars working at Institute for Advanced Medical Research

Since Specialization
Citations

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

Fields of papers published by authors at Institute for Advanced Medical Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute for Advanced Medical Research 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 Institute for Advanced Medical Research at the time of their publication.

About Institute for Advanced Medical Research

In recent decades, authors affiliated with Institute for Advanced Medical Research have published 754 papers, which have received a total of 23.3k indexed citations . Scholars at this organization have produced 134 papers in Immunology, 108 papers in Oncology, 38 papers in Hematology, 36 papers in Cancer Research and 177 papers in Molecular Biology on the topics of Immunotherapy and Immune Responses (70 papers), Immune Cell Function and Interaction (57 papers), T-cell and B-cell Immunology (34 papers), CAR-T cell therapy research (33 papers), Cancer Immunotherapy and Biomarkers (24 papers), Cancer Cells and Metastasis (19 papers), RNA Interference and Gene Delivery (17 papers) and Hematopoietic Stem Cell Transplantation (15 papers). Their work is cited by papers focused on Immunology (5.3k citations), Hematology (1.5k citations), Oncology (3.4k citations), Cancer Research (1.3k citations) and Molecular Biology (5.8k citations). Authors at Institute for Advanced Medical Research collaborate with scholars in United States, Japan and Spain and have published in prestigious journals including The Journal of Immunology, Chemical Communications, Cancer Research, Scientific Reports and Cancer Science. Some of Institute for Advanced Medical Research's most productive authors include Yutaka Kawakami, Wei Huang, Dong‐Hwan Kim, Peng Chen, Xuewan Wang, Parimal Routh, Gengzhi Sun, Hideyuki Saya, Masataka Kuwana and Shin‐ichiro Kashiwamura.

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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