Weijia Wang

1.5k citations
24 papers · 938 indexed · h-index 15
Topics
Hematopoietic Stem Cell Transplantation (8 papers)Erythrocyte Function and Pathophysiology (4 papers)T-cell and B-cell Immunology (4 papers)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Weijia Wang

24 papers receiving 926 citations

Peers

Weijia Wang
Comparison fields: 5 of 84
  • Molecular Biology 627
  • Hematology 220
  • Immunology 176
  • Cancer Research 169
  • Oncology 130
Replace Luisa Cimmino with:
Luisa Cimmino United States
Elke Kurz United Kingdom
Rita Ferreira United Kingdom
M. Dexter United Kingdom
Martina Konantz Switzerland
Evangelia Loizou United States
Stephen Horrigan United States
Matthias Kieslinger Germany
Rut Tejero Spain
Kiran Batta United Kingdom
Weijia Wang relative to Luisa Cimmino United States Luisa Cimmino's profile →
Citations per field
00.5×1.5×
Luisa Cimmino · 1×
Citations per year

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
#WorkIndexed citations
1 38
2 37
3 21
4 18
5 23
6 19
7 29
8 13
9 49
10 18
11 13
12 3
13 190
14 32
15 11
16
Comparative proteomics analysis on differentiation of human promyelocytic leukemia HL-60 cells into granulocyte and monocyte lineages.
6
17 16
18
[The expression of IER3IP1 gene in K562 cells treated by matrine and its effect on the cell growth].
1
19 166
20 187

About Weijia Wang

Weijia Wang is a scholar working on Hematology, Immunology and Oncology, having authored 24 papers that have together received 938 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Erythrocyte Function and Pathophysiology (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Hematology (220 citations), Cancer Research (169 citations) and Genetics (111 citations). Weijia Wang has collaborated with scholars based in Canada, United States and China. Frequent 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. Their work appears in journals such as Blood, PLoS ONE and Scientific Reports.

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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