Danlin Yao

595 citations
14 papers · 401 · h-index 8

Impact in

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

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 2
    • CAR-T cell therapy research 6
    • Cancer Immunotherapy and Biomarkers 3

Danlin Yao

13 papers receiving 399 citations

Peers

Danlin Yao
Comparison fields: 5 of 52
  • Immunology 221
  • Hematology 79
  • Oncology 146
  • Biological Psychiatry 6
  • Neurology 19
Replace Hilda Rachel Diamond with:
Hilda Rachel Diamond Brazil
Paula Araya United States
Rebecca Noster Germany
Minoru Kanaya Japan
Valentina Bertaina Italy
Iwona Osińska Poland
Pascale Zwicky Switzerland
Nicola Carriglio Italy
Raquel Alenda Spain
Ethan G. Aguilar United States
Danlin Yao relative to Hilda Rachel Diamond Brazil Hilda Rachel Diamond's profile →
Citations per field
00.5×5.6×
Hilda Rachel Diamond · 1×
Citations per year

Countries citing papers authored by Danlin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Danlin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019154
2 201773
3 202066
4 202133
5 201717
6 202314
7 202014
8 202111
9 20207
10 20237
11 20173
12 20161
13 20241
14 20250

About Danlin Yao

Danlin Yao is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Genetics, having authored 14 papers that have together received 401 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (6 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), T-cell and B-cell Immunology (2 papers), Acute Myeloid Leukemia Research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Immunology (221 citations), Hematology (79 citations), Oncology (146 citations), Biological Psychiatry (6 citations) and Neurology (19 citations). Danlin Yao has collaborated with scholars based in China. Frequent co-authors include Shaohua Chen, Yangqiu Li, Ling Xu, Yikai Zhang, Xianfeng Zha, Yuhong Lu, Dimitri Kasakovski, Jiaxiong Tan, Zhi Yu and Jing Lai. Their work appears in journals such as Frontiers in Immunology, Experimental Hematology, Blood, Biomarker Research and Frontiers in Oncology.

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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