Tianxia Lan

22 papers and 1.1k indexed citations i.

About

Tianxia Lan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Tianxia Lan has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Tianxia Lan’s work include Immunotherapy and Immune Responses (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Immune cells in cancer (4 papers). Tianxia Lan is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Immune cells in cancer (4 papers). Tianxia Lan collaborates with scholars based in China, United States and Japan. Tianxia Lan's co-authors include Xiawei Wei, Min Luo, Xiawei Wei, Yuquan Wei, Li Chen, Minyang Fu, Zhen Zeng, Ting Luo, Yuan Hu and Kun‐Liang Guan and has published in prestigious journals such as Nano Letters, ACS Nano and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Tianxia Lan i

Fields of papers citing papers by Tianxia Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tianxia Lan

Since Specialization
Citations

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