Kai Sun

4.2k citations
119 papers · 3.2k indexed · h-index 29

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

    • Acute Myeloid Leukemia Research 21
    • Hematopoietic Stem Cell Transplantation 15
    • Multiple Myeloma Research and Treatments 7

Kai Sun

114 papers receiving 3.2k citations

Peers

Kai Sun
Comparison fields: 5 of 140
  • Hematology 546
  • Genetics 379
  • Cancer Research 517
  • Immunology 717
  • Oncology 718
Replace Ting Zhao with:
Ting Zhao China
Alberto Ballestrero Italy
Franco Patrone Italy
Piotr Smolewski Poland
Françis Belloc France
Mario P. Tschan Switzerland
Phyllis A. Svingen United States
Roman A. Blaheta Germany
Yi Luo China
Rong Mu China
Kai Sun relative to Ting Zhao China Ting Zhao's profile →
Citations per field
00.5×3.1×
Ting Zhao · 1×
Citations per year

Countries citing papers authored by Kai Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20236
3
The Prognostic Significance of C-Reactive Protein to Albumin Ratio in Newly Diagnosed Acute Myeloid Leukaemia Patients
202218
4 20220
5 20219
6 20212
7 20212
8 20202
9 20198
10 20196
11 201928
12 20196
13 201832
14 201838
15 20172
16 201714
17 201417
18 20121
19 200913
20 200710

About Kai Sun

Kai Sun is a scholar working on Hematology, Genetics, Oncology, Immunology and Cancer Research, having authored 119 papers that have together received 3.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Hematopoietic Stem Cell Transplantation (15 papers), Autophagy in Disease and Therapy (13 papers), Acute Lymphoblastic Leukemia research (9 papers), Retinoids in leukemia and cellular processes (7 papers), T-cell and B-cell Immunology (7 papers), Multiple Myeloma Research and Treatments (7 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Hematology (546 citations), Genetics (379 citations), Cancer Research (517 citations), Immunology (717 citations) and Oncology (718 citations). Kai Sun has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Lixin Wei, Jianrui Song, William J. Murphy, Xianling Guo, Qiudong Zhao, Mengchao Wu, Shanshan Zhang, Bruce R. Blazar, Wei-jie Deng and Xue Zhao. Their work appears in journals such as Cancer Management and Research, Blood, PLoS ONE, Cancer Letters and Cell & Bioscience.

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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