Hailiang Tang

109 total papers · 1.8k total citations
68 papers, 1.2k citations indexed

About

Hailiang Tang is a scholar working on Epidemiology, Neurology and Surgery. According to data from OpenAlex, Hailiang Tang has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 23 papers in Neurology and 20 papers in Surgery. Recurrent topics in Hailiang Tang's work include Meningioma and schwannoma management (22 papers), Neurofibromatosis and Schwannoma Cases (12 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). Hailiang Tang is often cited by papers focused on Meningioma and schwannoma management (22 papers), Neurofibromatosis and Schwannoma Cases (12 papers) and Neurogenesis and neuroplasticity mechanisms (9 papers). Hailiang Tang collaborates with scholars based in China, United States and Switzerland. Hailiang Tang's co-authors include Jianhong Zhu, Qing Xie, Ye Gong, John H. Zhang, Hongda Zhu, Ying Mao, Daijun Wang, Lingyang Hua, Xiancheng Chen and Fan Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Hailiang Tang

66 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Hailiang Tang 450 340 300 272 251 68 1.2k
Seok Ho Hong 287 0.6× 293 0.9× 243 0.8× 309 1.1× 281 1.1× 79 1.3k
Yasunori Fujimoto 346 0.8× 414 1.2× 211 0.7× 248 0.9× 348 1.4× 84 1.2k
Domenico La Torre 244 0.5× 310 0.9× 386 1.3× 380 1.4× 172 0.7× 67 1.5k
Rachel Grossman 195 0.4× 262 0.8× 303 1.0× 193 0.7× 367 1.5× 63 1.5k
D. Ryan Ormond 301 0.7× 237 0.7× 188 0.6× 267 1.0× 394 1.6× 78 1.3k
Alexander G. Khandji 222 0.5× 489 1.4× 250 0.8× 358 1.3× 296 1.2× 56 1.3k
Almuth Brandis 523 1.2× 505 1.5× 280 0.9× 187 0.7× 375 1.5× 65 1.4k
Yin-Cheng Huang 207 0.5× 281 0.8× 354 1.2× 195 0.7× 120 0.5× 52 1.0k
Lukas Andereggen 183 0.4× 518 1.5× 138 0.5× 447 1.6× 177 0.7× 126 1.4k
Jordina Rincón-Torroella 371 0.8× 269 0.8× 82 0.3× 333 1.2× 375 1.5× 81 1.0k

Countries citing papers authored by Hailiang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Hailiang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailiang Tang

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026