Hanna Lu

90 total papers · 813 total citations
48 papers, 538 citations indexed

About

Hanna Lu is a scholar working on Cognitive Neuroscience, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Hanna Lu has authored 48 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 22 papers in Neurology and 14 papers in Psychiatry and Mental health. Recurrent topics in Hanna Lu's work include Functional Brain Connectivity Studies (28 papers), Transcranial Magnetic Stimulation Studies (20 papers) and Dementia and Cognitive Impairment Research (10 papers). Hanna Lu is often cited by papers focused on Functional Brain Connectivity Studies (28 papers), Transcranial Magnetic Stimulation Studies (20 papers) and Dementia and Cognitive Impairment Research (10 papers). Hanna Lu collaborates with scholars based in Hong Kong, China and Germany. Hanna Lu's co-authors include Sandra Sau Man Chan, Linda Lam, Jeremy F. Strain, Sandra B. Chapman, Jeffrey S. Spence, Sina Aslan, Laura F. DeFina, John Hart, Molly Keebler and Nyaz Didehbani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Hanna Lu

43 papers receiving 534 citations

Author Peers

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

Author Last Decade Papers Cites
Hanna Lu 298 174 161 93 87 48 538
Jun Ke 317 1.1× 113 0.6× 145 0.9× 114 1.2× 58 0.7× 48 606
Gilles Chopard 233 0.8× 145 0.8× 250 1.6× 41 0.4× 77 0.9× 38 582
Jessica N. Kraft 390 1.3× 297 1.7× 94 0.6× 109 1.2× 56 0.6× 28 560
Jaclyn A. Stephens 349 1.2× 287 1.6× 115 0.7× 87 0.9× 57 0.7× 41 613
Alejandro Albizu 346 1.2× 280 1.6× 86 0.5× 96 1.0× 50 0.6× 31 516
Na Young Kim 217 0.7× 108 0.6× 98 0.6× 89 1.0× 48 0.6× 37 520
Calvin Pak-Wing Cheng 145 0.5× 155 0.9× 121 0.8× 38 0.4× 74 0.9× 46 554
Minoru Hoshiyama 313 1.1× 102 0.6× 76 0.5× 88 0.9× 52 0.6× 71 558
Ruiyang Ge 448 1.5× 197 1.1× 104 0.6× 119 1.3× 89 1.0× 43 593
Franka Thurm 312 1.0× 116 0.7× 90 0.6× 50 0.5× 70 0.8× 21 600

Countries citing papers authored by Hanna Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hanna Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanna Lu

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