Bin Meng

61 papers and 744 indexed citations i.

About

Bin Meng is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Bin Meng has authored 61 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 22 papers in Pathology and Forensic Medicine and 14 papers in Immunology. Recurrent topics in Bin Meng’s work include Lymphoma Diagnosis and Treatment (20 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Bin Meng is often cited by papers focused on Lymphoma Diagnosis and Treatment (20 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Bin Meng collaborates with scholars based in China, United States and Sweden. Bin Meng's co-authors include Huilai Zhang, Lanfang Li, Lihua Qiu, Xianhuo Wang, Shiyong Zhou, Xiubao Ren, Feng Li, Lingyi Chi, Shugan Zhu and Jian Zhang and has published in prestigious journals such as Blood, PLoS ONE and The FASEB Journal.

In The Last Decade

Co-authorship network of co-authors of Bin Meng i

Fields of papers citing papers by Bin Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bin Meng

Since Specialization
Citations

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