Sujun Gao

1.1k total citations
38 papers, 613 citations indexed

About

Sujun Gao is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Sujun Gao has authored 38 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 11 papers in Hematology and 9 papers in Molecular Biology. Recurrent topics in Sujun Gao's work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (16 papers) and Immunotherapy and Immune Responses (12 papers). Sujun Gao is often cited by papers focused on Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (16 papers) and Immunotherapy and Immune Responses (12 papers). Sujun Gao collaborates with scholars based in China, United States and Malaysia. Sujun Gao's co-authors include Lan‐Ping Xu, Xiao‐Jun Huang, Qifa Liu, Ming Jiang, Xin Wang, Shunqing Wang, Depei Wu, Hai Bai, Linghui Xia and Xi Zhang and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and British Journal of Haematology.

In The Last Decade

Sujun Gao

33 papers receiving 605 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sujun Gao China 13 355 216 192 133 98 38 613
Lan Deng China 15 212 0.6× 113 0.5× 240 1.3× 214 1.6× 85 0.9× 55 594
Tony Marchand France 10 232 0.7× 241 1.1× 149 0.8× 132 1.0× 130 1.3× 40 602
Emily Curran United States 16 220 0.6× 263 1.2× 201 1.0× 278 2.1× 119 1.2× 42 765
Maria Cristina Rapanotti Italy 14 313 0.9× 144 0.7× 163 0.8× 171 1.3× 88 0.9× 28 598
Rudolf Peceny Germany 13 587 1.7× 358 1.7× 108 0.6× 153 1.2× 159 1.6× 20 822
Evgeny Klyuchnikov Germany 15 615 1.7× 149 0.7× 176 0.9× 183 1.4× 203 2.1× 57 715
Salyka Sengsayadeth United States 13 256 0.7× 140 0.6× 257 1.3× 148 1.1× 45 0.5× 41 502
Wendy Ingram United Kingdom 13 608 1.7× 345 1.6× 163 0.8× 130 1.0× 191 1.9× 27 864
Haizhou Xing China 11 162 0.5× 180 0.8× 208 1.1× 192 1.4× 49 0.5× 31 561
Michael W. Boyer United States 14 299 0.8× 304 1.4× 282 1.5× 151 1.1× 131 1.3× 29 700

Countries citing papers authored by Sujun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Sujun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Sujun Gao. A scholar is included among the top collaborators of Sujun Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sujun Gao. Sujun Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Song, Fei, Long Su, & Sujun Gao. (2025). Impact of FLT3 mutation on its intracellular localization and implications for anti-leukemia strategy. Annals of Hematology. 104(9). 4347–4356.
2.
3.
Gao, Sujun, et al.. (2024). Identification of a novel HLA‐C allele, HLA‐C*02:246. HLA. 104(1). e15629–e15629. 2 indexed citations
4.
Gao, Sujun, et al.. (2024). Identification of the HLA‐A*11:463 allele in a Chinese patient and his father. HLA. 103(3). e15442–e15442. 2 indexed citations
5.
Zou, Hong Yan, Sujun Gao, Liu Y, et al.. (2024). Combination of metagenomic next-generation sequencing and conventional tests unraveled pathogen profiles in infected patients undergoing allogeneic hematopoietic stem cell transplantation in Jilin Province of China. Frontiers in Cellular and Infection Microbiology. 14. 1378112–1378112. 2 indexed citations
6.
Hu, Ruiping, et al.. (2023). Identification of the novel HLA‐C*01:02:86 allele in a Chinese individual. HLA. 102(1). 89–90. 1 indexed citations
7.
Xu, Lan‐Ping, Zhengli Xu, Shunqing Wang, et al.. (2022). Long-term follow-up of haploidentical transplantation in relapsed/refractory severe aplastic anemia: a multicenter prospective study. Science Bulletin. 67(9). 963–970. 28 indexed citations
8.
Xu, Zhengli, Lan‐Ping Xu, Depei Wu, et al.. (2022). Comparable long-term outcomes between upfront haploidentical and identical sibling donor transplant in aplastic anemia: a national registry-based study. Haematologica. 107(12). 2918–2927. 20 indexed citations
9.
Hu, Ruiping, et al.. (2022). A novel HLA‐C allele, HLA‐C*15:244. HLA. 100(3). 283–284. 1 indexed citations
10.
Wang, Yu, Qifa Liu, Depei Wu, et al.. (2020). Impact of prophylactic/preemptive donor lymphocyte infusion and intensified conditioning for relapsed/refractory leukemia: a real-world study. Science China Life Sciences. 63(10). 1552–1564. 14 indexed citations
11.
12.
Xu, Lan‐Ping, Shunqing Wang, Yanru Ma, et al.. (2019). Who is the best haploidentical donor for acquired severe aplastic anemia? Experience from a multicenter study. Journal of Hematology & Oncology. 12(1). 87–87. 27 indexed citations
13.
Wang, Cong, Lin Jia, Yichen Wang, et al.. (2019). Genome-wide interaction target profiling reveals a novel Peblr20-eRNA activation pathway to control stem cell pluripotency. Theranostics. 10(1). 353–370. 25 indexed citations
14.
Du, Zhonghua, Lin Jia, Yichen Wang, et al.. (2018). Combined RNA-seq and RAT-seq mapping of long noncoding RNAs in pluripotent reprogramming. Scientific Data. 5(1). 180255–180255. 13 indexed citations
15.
Wang, Dongjiao, Sujun Gao, Jintong Chen, et al.. (2018). Dectin-1 stimulates IL-33 expression in dendritic cells via upregulation of IRF4. Laboratory Investigation. 98(6). 708–714. 8 indexed citations
16.
Xu, Lan‐Ping, Song Jin, Shunqing Wang, et al.. (2017). Upfront haploidentical transplant for acquired severe aplastic anemia: registry-based comparison with matched related transplant. Journal of Hematology & Oncology. 10(1). 25–25. 141 indexed citations
17.
Xu, Lan‐Ping, Depei Wu, Jian‐Min Wang, et al.. (2016). Haplo‐identical transplantation for acquired severe aplastic anaemia in a multicentre prospective study. British Journal of Haematology. 175(2). 265–274. 104 indexed citations
18.
Su, Long, Sujun Gao, Yehui Tan, Wei Han, & Wei Li. (2013). Associations Between Age, Cytogenetics, FLT3-ITD, and Marrow Leukemia Cells Identified by Flow Cytometry. Asian Pacific Journal of Cancer Prevention. 14(9). 5341–5344. 5 indexed citations
19.
Wang, Fengli, Weihua Ni, Fang Fang, et al.. (2013). Expression of human full-length MUC1 inhibits the proliferation and migration of a B16 mouse melanoma cell line. Oncology Reports. 30(1). 260–268. 12 indexed citations
20.
Gao, Sujun, et al.. (2007). Separation of 1,3-propanediol from glycerol-based fermentations of Klebsiella pneumoniae by alcohol precipitation and dilution crystallization. Frontiers of Chemical Engineering in China. 1(2). 202–207. 16 indexed citations

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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