Honglin Tang

66 total papers · 1.6k total citations
42 papers, 1.3k citations indexed

About

Honglin Tang is a scholar working on Molecular Biology, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Honglin Tang has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Biomedical Engineering and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Honglin Tang's work include Nanoplatforms for cancer theranostics (9 papers), Extracellular vesicles in disease (5 papers) and Enzyme Catalysis and Immobilization (4 papers). Honglin Tang is often cited by papers focused on Nanoplatforms for cancer theranostics (9 papers), Extracellular vesicles in disease (5 papers) and Enzyme Catalysis and Immobilization (4 papers). Honglin Tang collaborates with scholars based in China, United States and Tunisia. Honglin Tang's co-authors include Dianyu Yu, Yue Zhao, Walid Elfalleh, Nan Wu, Dan Li, Bowen Li, Fei Wu, Xu Wang, Jing Yang and Ping Yuan and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and The Journal of Immunology.

In The Last Decade

Honglin Tang

38 papers receiving 1.3k citations

Hit Papers

Effects of (+)-catechin o... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Honglin Tang 494 399 264 154 151 42 1.3k
Xiaobin Zeng 743 1.5× 274 0.7× 230 0.9× 94 0.6× 154 1.0× 86 1.7k
Judit Váradi 534 1.1× 157 0.4× 151 0.6× 87 0.6× 97 0.6× 74 1.8k
Iulia Pînzaru 566 1.1× 177 0.4× 186 0.7× 99 0.6× 191 1.3× 83 1.5k
Hailong Tian 466 0.9× 189 0.5× 584 2.2× 113 0.7× 264 1.7× 60 1.5k
Kehai Liu 601 1.2× 248 0.6× 248 0.9× 80 0.5× 93 0.6× 62 1.4k
Firdous A. Khanday 663 1.3× 136 0.3× 126 0.5× 149 1.0× 110 0.7× 52 1.5k
Aun Raza 414 0.8× 151 0.4× 295 1.1× 76 0.5× 162 1.1× 49 1.4k
Marija Poljak‐Blaži 282 0.6× 144 0.4× 99 0.4× 144 0.9× 89 0.6× 43 1.3k
Ming Tian 658 1.3× 283 0.7× 266 1.0× 99 0.6× 53 0.4× 44 1.5k
Anton Cerar 579 1.2× 110 0.3× 195 0.7× 220 1.4× 268 1.8× 28 1.7k

Countries citing papers authored by Honglin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Honglin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honglin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Honglin Tang. A scholar is included among the top collaborators of Honglin Tang 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 Honglin Tang. Honglin Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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