Zhaoli Han

47 total papers · 2.3k total citations
38 papers, 1.8k citations indexed

About

Zhaoli Han is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Zhaoli Han has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Neurology and 13 papers in Neurology. Recurrent topics in Zhaoli Han's work include Extracellular vesicles in disease (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Zhaoli Han is often cited by papers focused on Extracellular vesicles in disease (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Zhaoli Han collaborates with scholars based in China and United States. Zhaoli Han's co-authors include Xintong Ge, Fanglian Chen, Ping Lei, Zhenyu Yin, Shan Huang, Jianning Zhang, Jinwen Yu, Ping Lei, Shishuang Zhang and Ying Li and has published in prestigious journals such as Scientific Reports, Brain Research and The FASEB Journal.

In The Last Decade

Zhaoli Han

35 papers receiving 1.8k citations

Hit Papers

Increased miR‐124‐3p in m... 2017 2026 2020 2023 2017 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
Zhaoli Han 1.1k 630 454 394 232 38 1.8k
Xintong Ge 1.3k 1.1× 664 1.1× 479 1.1× 457 1.2× 243 1.0× 35 2.0k
Yaying Song 975 0.9× 507 0.8× 567 1.2× 297 0.8× 132 0.6× 50 1.7k
Yingfang Tian 1.1k 1.0× 712 1.1× 374 0.8× 249 0.6× 299 1.3× 67 2.1k
Kemal Uğur Tüfekçi 1.3k 1.1× 658 1.0× 315 0.7× 165 0.4× 101 0.4× 32 2.0k
Arantxa Ortega‐Aznar 677 0.6× 304 0.5× 503 1.1× 415 1.1× 447 1.9× 27 1.7k
Jieru Wan 951 0.9× 364 0.6× 570 1.3× 991 2.5× 348 1.5× 24 2.2k
Tuo Yang 820 0.7× 275 0.4× 912 2.0× 337 0.9× 279 1.2× 36 2.1k
Yirong Yang 541 0.5× 324 0.5× 734 1.6× 265 0.7× 323 1.4× 61 1.9k
Desislava Doycheva 719 0.6× 217 0.3× 337 0.7× 216 0.5× 241 1.0× 48 1.6k
Marcelle Bergeron 811 0.7× 489 0.8× 226 0.5× 303 0.8× 238 1.0× 26 1.9k

Countries citing papers authored by Zhaoli Han

Since Specialization
Citations

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

Fields of papers citing papers by Zhaoli Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaoli Han

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoli Han. A scholar is included among the top collaborators of Zhaoli Han 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 Zhaoli Han. Zhaoli Han 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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