Hailong Meng

26 papers and 1.0k indexed citations i.

About

Hailong Meng is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Hailong Meng has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 12 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Hailong Meng’s work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (5 papers) and Influenza Virus Research Studies (5 papers). Hailong Meng is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (5 papers) and Influenza Virus Research Studies (5 papers). Hailong Meng collaborates with scholars based in United States, Israel and China. Hailong Meng's co-authors include Steven H. Kleinstein, Mary M. Tomayko, Florian Weisel, Kim L. Good‐Jacobson, Griselda Zuccarino-Catania, Saheli Sadanand, Mark J. Shlomchik, Susan M. Kaech, Weiguo Cui and Anmol Chandele and has published in prestigious journals such as Nature, Blood and Immunity.

In The Last Decade

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

Fields of papers citing papers by Hailong Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hailong Meng

Since Specialization
Citations

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