Weijia Wang

1.5k total citations
24 papers, 938 citations indexed

About

Weijia Wang is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Weijia Wang has authored 24 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Hematology and 7 papers in Oncology. Recurrent topics in Weijia Wang's work include Hematopoietic Stem Cell Transplantation (8 papers), Erythrocyte Function and Pathophysiology (4 papers) and T-cell and B-cell Immunology (4 papers). Weijia Wang is often cited by papers focused on Hematopoietic Stem Cell Transplantation (8 papers), Erythrocyte Function and Pathophysiology (4 papers) and T-cell and B-cell Immunology (4 papers). Weijia Wang collaborates with scholars based in Canada, United States and China. Weijia Wang's co-authors include Peter W. Zandstra, Wenlian Qiao, Elizabeth Csaszar, Michael P. Cooke, Anthony E. Boitano, Mei Yu, Daniel C. Kirouac, Caryn Y. Ito, Su Wu and Frédérique Gay and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Weijia Wang

24 papers receiving 926 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weijia Wang Canada 15 627 220 176 169 130 24 938
Luisa Cimmino United States 14 843 1.3× 304 1.4× 257 1.5× 203 1.2× 182 1.4× 18 1.3k
Rita Ferreira United Kingdom 14 859 1.4× 422 1.9× 280 1.6× 98 0.6× 128 1.0× 25 1.4k
Yizhou Huang China 14 637 1.0× 89 0.4× 127 0.7× 225 1.3× 117 0.9× 35 880
Kiran Batta United Kingdom 16 853 1.4× 74 0.3× 103 0.6× 63 0.4× 100 0.8× 29 1.1k
Elke Kurz United Kingdom 11 517 0.8× 158 0.7× 157 0.9× 82 0.5× 136 1.0× 15 732
Alexandros Strikoudis United States 13 587 0.9× 71 0.3× 87 0.5× 68 0.4× 184 1.4× 13 887
Evangelia Loizou United States 7 548 0.9× 148 0.7× 66 0.4× 118 0.7× 243 1.9× 8 775
Changwei Shao China 14 1.1k 1.8× 92 0.4× 47 0.3× 253 1.5× 53 0.4× 23 1.3k
Christopher Duntsch United States 12 260 0.4× 55 0.3× 108 0.6× 113 0.7× 221 1.7× 13 638
Boris Guyot France 13 552 0.9× 259 1.2× 120 0.7× 65 0.4× 45 0.3× 27 821

Countries citing papers authored by Weijia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weijia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weijia Wang. A scholar is included among the top collaborators of Weijia 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 Weijia Wang. Weijia 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.
Loeffler, Dirk, Florin Schneiter, Weijia Wang, et al.. (2021). Asymmetric organelle inheritance predicts human blood stem cell fate. Blood. 139(13). 2011–2023. 38 indexed citations
2.
Zhong, Micai, Xiaodong Jiang, Guoqian Yang, et al.. (2021). Rose without prickle: genomic insights linked to moisture adaptation. National Science Review. 8(12). nwab092–nwab092. 37 indexed citations
3.
Wang, Weijia, Yang Zhang, Andreas Reimann, et al.. (2021). Cytokine combinations for human blood stem cell expansion induce cell-type– and cytokine-specific signaling dynamics. Blood. 138(10). 847–857. 21 indexed citations
4.
Wang, Weijia, et al.. (2019). ROS-responsive fluorinated polycations as non-viral gene vectors. European Journal of Medicinal Chemistry. 182. 111666–111666. 18 indexed citations
5.
Loeffler, Dirk, Weijia Wang, Oliver Hilsenbeck, et al.. (2018). Mouse and human HSPC immobilization in liquid culture by CD43- or CD44-antibody coating. Blood. 131(13). 1425–1429. 23 indexed citations
6.
Wang, Weijia, Hisaki Fujii, Karin G. Hermans, et al.. (2017). Enhanced human hematopoietic stem and progenitor cell engraftment by blocking donor T cell–mediated TNFα signaling. Science Translational Medicine. 9(421). 19 indexed citations
7.
Müller, Eike, Weijia Wang, Wenlian Qiao, et al.. (2016). Distinguishing autocrine and paracrine signals in hematopoietic stem cell culture using a biofunctional microcavity platform. Scientific Reports. 6(1). 31951–31951. 29 indexed citations
8.
Wang, Weijia, et al.. (2015). Proportional-Integral-Derivative (PID) Control of Secreted Factors for Blood Stem Cell Culture. PLoS ONE. 10(9). e0137392–e0137392. 13 indexed citations
9.
Qiao, Wenlian, Weijia Wang, Elisa Laurenti, et al.. (2014). Intercellular network structure and regulatory motifs in the human hematopoietic system. Molecular Systems Biology. 10(7). 741–741. 49 indexed citations
10.
Csaszar, Elizabeth, Weijia Wang, Tatiana Usenko, et al.. (2013). Blood stem cell fate regulation by Delta-1–mediated rewiring of IL-6 paracrine signaling. Blood. 123(5). 650–658. 18 indexed citations
11.
12.
Wang, Weijia, et al.. (2012). Biochemical measurements on single erythroid progenitor cells shed light on the combinatorial regulation of red blood cell production. Molecular BioSystems. 9(2). 234–245. 3 indexed citations
13.
Csaszar, Elizabeth, Daniel C. Kirouac, Mei Yu, et al.. (2012). Rapid Expansion of Human Hematopoietic Stem Cells by Automated Control of Inhibitory Feedback Signaling. Cell stem cell. 10(2). 218–229. 190 indexed citations
14.
Zhan, Yan-yan, Jianping He, Hang‐zi Chen, Weijia Wang, & Jian-Chun Cai. (2012). Orphan receptor TR3 is essential for the maintenance of stem-like properties in gastric cancer cells. Cancer Letters. 329(1). 37–44. 32 indexed citations
15.
Wang, Weijia, et al.. (2012). Measurement of generation‐dependent proliferation rates and death rates during mouse erythroid progenitor cell differentiation. Cytometry Part A. 81A(5). 382–389. 11 indexed citations
16.
Wang, Weijia, Wei Tang, & Zongyin Qiu. (2009). Comparative proteomics analysis on differentiation of human promyelocytic leukemia HL-60 cells into granulocyte and monocyte lineages.. PubMed. 28(2). 117–21. 6 indexed citations
17.
Wang, Weijia, et al.. (2007). Synergy between erythropoietin and stem cell factor during erythropoiesis can be quantitatively described without co‐signaling effects. Biotechnology and Bioengineering. 99(5). 1261–1272. 16 indexed citations
18.
Wang, Weijia, et al.. (2007). [The expression of IER3IP1 gene in K562 cells treated by matrine and its effect on the cell growth].. PubMed. 28(12). 823–7. 1 indexed citations
19.
Wu, Su, Yujiang Geno Shi, Peter Mulligan, et al.. (2007). A YY1–INO80 complex regulates genomic stability through homologous recombination–based repair. Nature Structural & Molecular Biology. 14(12). 1165–1172. 166 indexed citations
20.
Tay, Yvonne, Wai Leong Tam, Yen-Sin Ang, et al.. (2007). MicroRNA-134 Modulates the Differentiation of Mouse Embryonic Stem Cells, Where It Causes Post-Transcriptional Attenuation of Nanog and LRH1. Stem Cells. 26(1). 17–29. 187 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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