Weida Wang

72 papers and 930 indexed citations i.

About

Weida Wang is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Weida Wang has authored 72 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 21 papers in Hematology and 15 papers in Oncology. Recurrent topics in Weida Wang’s work include Multiple Myeloma Research and Treatments (11 papers), Lymphoma Diagnosis and Treatment (7 papers) and Acute Myeloid Leukemia Research (7 papers). Weida Wang is often cited by papers focused on Multiple Myeloma Research and Treatments (11 papers), Lymphoma Diagnosis and Treatment (7 papers) and Acute Myeloid Leukemia Research (7 papers). Weida Wang collaborates with scholars based in China, United Kingdom and United States. Weida Wang's co-authors include Xiaoguang Chen, Sen Zhang, Yue Lu, Hua Wang, Wenjian Liu, Sheng Li, Dongming Zhang, Zhaojun Li, Zhongjun Xia and Chaohan Xu and has published in prestigious journals such as Blood, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Co-authorship network of co-authors of Weida Wang i

Fields of papers citing papers by Weida Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weida Wang

Since Specialization
Citations

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

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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2025