Hailong Cheng

51 total papers · 944 total citations
27 papers, 736 citations indexed

About

Hailong Cheng is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hailong Cheng has authored 27 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Psychiatry and Mental health, 15 papers in Pediatrics, Perinatology and Child Health and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hailong Cheng's work include Epilepsy research and treatment (15 papers), Pharmacological Effects and Toxicity Studies (14 papers) and Neuroscience and Neuropharmacology Research (6 papers). Hailong Cheng is often cited by papers focused on Epilepsy research and treatment (15 papers), Pharmacological Effects and Toxicity Studies (14 papers) and Neuroscience and Neuropharmacology Research (6 papers). Hailong Cheng collaborates with scholars based in United States, Portugal and Austria. Hailong Cheng's co-authors include David Blum, Kenneth S. Koblan, Antony Loebel, Seth C. Hopkins, Robert Goldman, Justine Kent, John H. Krystal, Todd Grinnell, Jay Harvey and Michael R. Sperling and has published in prestigious journals such as New England Journal of Medicine, Neurology and CHEST Journal.

In The Last Decade

Hailong Cheng

27 papers receiving 717 citations

Hit Papers

A Non–D2-Receptor-Binding... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Hailong Cheng 397 277 254 135 120 27 736
Robert C. Woody 194 0.5× 184 0.7× 69 0.3× 28 0.2× 184 1.5× 45 850
N. Ueda 91 0.2× 78 0.3× 87 0.3× 228 1.7× 100 0.8× 23 719
E. Verbitskaya 99 0.2× 80 0.3× 177 0.7× 139 1.0× 61 0.5× 54 815
Dami A. Collier 308 0.8× 26 0.1× 180 0.7× 217 1.6× 147 1.2× 20 748
Javier Cabello Sánchez 146 0.4× 55 0.2× 104 0.4× 26 0.2× 111 0.9× 52 777
Derek Flenniken 303 0.8× 40 0.1× 116 0.5× 65 0.5× 42 0.3× 31 716
Armand Löwenthal 387 1.0× 348 1.3× 307 1.2× 32 0.2× 190 1.6× 24 852
Jean Costa Nunes 228 0.6× 124 0.4× 208 0.8× 15 0.1× 144 1.2× 36 718
Jesus B. Fernandez 90 0.2× 30 0.1× 62 0.2× 123 0.9× 68 0.6× 22 664
Akira Suda 119 0.3× 98 0.4× 29 0.1× 234 1.7× 75 0.6× 46 718

Countries citing papers authored by Hailong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Cheng

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