Kankan Wang

3.0k total citations
82 papers, 1.9k citations indexed

About

Kankan Wang is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Kankan Wang has authored 82 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 34 papers in Hematology and 15 papers in Cancer Research. Recurrent topics in Kankan Wang's work include Acute Myeloid Leukemia Research (29 papers), Retinoids in leukemia and cellular processes (27 papers) and Cancer-related molecular mechanisms research (10 papers). Kankan Wang is often cited by papers focused on Acute Myeloid Leukemia Research (29 papers), Retinoids in leukemia and cellular processes (27 papers) and Cancer-related molecular mechanisms research (10 papers). Kankan Wang collaborates with scholars based in China, United Kingdom and United States. Kankan Wang's co-authors include Yanzhi Du, Hai Fang, Shuyong Wei, Sai‐Juan Chen, Wen Jin, Shufen Li, Yuxing Zhang, Xiaoling Wang, Yun Tan and Rongsheng Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Kankan Wang

77 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kankan Wang China 23 1.4k 530 451 181 174 82 1.9k
Armel Hervé Nwabo Kamdje Cameroon 19 685 0.5× 162 0.3× 268 0.6× 349 1.9× 160 0.9× 46 1.4k
Chunyan Gu China 24 1.5k 1.1× 184 0.3× 678 1.5× 295 1.6× 142 0.8× 93 2.3k
Enfan Zhang China 20 813 0.6× 211 0.4× 301 0.7× 287 1.6× 361 2.1× 58 1.4k
Lan Wang China 25 905 0.7× 118 0.2× 338 0.7× 274 1.5× 367 2.1× 74 1.8k
Angelina V. Vaseva United States 16 1.4k 1.1× 140 0.3× 328 0.7× 605 3.3× 125 0.7× 25 1.9k
Hidehisa Takahashi Japan 24 1.7k 1.3× 142 0.3× 190 0.4× 313 1.7× 272 1.6× 62 2.3k
Amit Verma United States 25 1.0k 0.8× 600 1.1× 194 0.4× 601 3.3× 626 3.6× 88 2.2k
Anilkumar Gopalakrishnapillai United States 18 747 0.6× 184 0.3× 105 0.2× 256 1.4× 113 0.6× 64 1.4k
Richard Edwards United Kingdom 24 580 0.4× 147 0.3× 202 0.4× 253 1.4× 156 0.9× 55 1.5k

Countries citing papers authored by Kankan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kankan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kankan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kankan Wang. A scholar is included among the top collaborators of Kankan Wang 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 Kankan Wang. Kankan Wang 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.
2.
Dai, Yuting, Wen Jin, Wenyan Cheng, et al.. (2025). Resolving Leukemia Heterogeneity and Lineage Aberrations with HematoMap. Genomics Proteomics & Bioinformatics. 23(2).
3.
Liu, Yabin, Xujie Zhao, Xiaoling Wang, et al.. (2024). RUNX1::ETO and CBFβ::MYH11 converge on aberrant activation of BCAT1 to confer a therapeutic vulnerability in core‐binding factor‐acute myeloid leukaemia. British Journal of Haematology. 205(2). 552–567.
4.
Jin, Wen, Yuting Dai, Li Chen, et al.. (2024). Cellular hierarchy insights reveal leukemic stem-like cells and early death risk in acute promyelocytic leukemia. Nature Communications. 15(1). 6 indexed citations
5.
Zhang, Yi, Peng Jin, Yun Tan, et al.. (2024). Phase separation of PML/RARα and BRD4 coassembled microspeckles governs transcriptional dysregulation in acute promyelocytic leukemia. Proceedings of the National Academy of Sciences. 121(34). e2406519121–e2406519121. 5 indexed citations
6.
Zhou, Weijun, et al.. (2024). NeoTCR: An Immunoinformatic Database of Experimentally-supported Functional Neoantigen-specific TCR Sequences. Genomics Proteomics & Bioinformatics. 23(2). 5 indexed citations
7.
Li, Fu‐Yu, et al.. (2024). Pan-caner analysis identifies PSMA7 as a targets for amplification at 20q13.33 in tumorigenesis. Scientific Reports. 14(1). 3034–3034.
8.
9.
Zhou, Weijun, et al.. (2022). Neoantigen-specific TCR-T cell-based immunotherapy for acute myeloid leukemia. Experimental Hematology and Oncology. 11(1). 100–100. 16 indexed citations
10.
Ma, Tingting, Yongmei Zhu, Bo Jiao, et al.. (2021). IRF4 and IRF8 expression are associated with clinical phenotype and clinico-hematological response to hydroxyurea in essential thrombocythemia. Frontiers of Medicine. 16(3). 403–415. 2 indexed citations
11.
Jin, Wen, et al.. (2017). Long Noncoding RNA Profiling Reveals an Abundant Crnde That Inhibits Granulocytic Differentiation in APL. Blood. 130. 3799–3799. 1 indexed citations
12.
Li, Shufen, Li Chen, Wen Jin, et al.. (2017). Influence of body mass index on incidence and prognosis of acute myeloid leukemia and acute promyelocytic leukemia: A meta-analysis. Scientific Reports. 7(1). 17998–17998. 44 indexed citations
13.
Wu, Kang, Dandan Dong, Hai Fang, et al.. (2012). An Interferon-Related Signature in the Transcriptional Core Response of Human Macrophages to Mycobacterium tuberculosis Infection. PLoS ONE. 7(6). e38367–e38367. 23 indexed citations
14.
Zhu, Xuehua, Hui Zhang, Maoxiang Qian, et al.. (2012). The significance of low PU.1 expression in patients with acute promyelocytic leukemia. Journal of Hematology & Oncology. 5(1). 22–22. 17 indexed citations
15.
Jahanzeb, Agha, et al.. (2011). Capturing real world ESD stress with event detector. Electrical Overstress/Electrostatic Discharge Symposium. 1–5. 7 indexed citations
16.
Yang, Xian‐Wen, Yun Tan, Ping Wang, et al.. (2011). Regulation of the hematopoietic cell kinase (HCK) by PML/RARα and PU.1 in acute promyelocytic leukemia. Leukemia Research. 36(2). 219–223. 10 indexed citations
17.
Fang, Hai, Wen Jin, Ying Yang, et al.. (2011). An organogenesis network-based comparative transcriptome analysis for understanding early human development in vivo and in vitro. BMC Systems Biology. 5(1). 108–108. 2 indexed citations
18.
Fang, Hai, Ying Yang, Chunliang Li, et al.. (2010). Transcriptome Analysis of Early Organogenesis in Human Embryos. Developmental Cell. 19(1). 174–184. 58 indexed citations
19.
Fang, Hai, Kankan Wang, & Ji Zhang. (2008). Transcriptome and Proteome Analyses of Drug Interactions with Natural Products. Current Drug Metabolism. 9(10). 1038–1048. 15 indexed citations
20.
Xiao, Li, Kankan Wang, Yue Teng, & Ji Zhang. (2003). Component plane presentation integrated self‐organizing map for microarray data analysis. FEBS Letters. 538(1-3). 117–124. 48 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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