Le H. Hua

80 total papers · 2.6k total citations
44 papers, 760 citations indexed

About

Le H. Hua is a scholar working on Pathology and Forensic Medicine, Oncology and Rheumatology. According to data from OpenAlex, Le H. Hua has authored 44 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pathology and Forensic Medicine, 12 papers in Oncology and 10 papers in Rheumatology. Recurrent topics in Le H. Hua's work include Multiple Sclerosis Research Studies (32 papers), Polyomavirus and related diseases (8 papers) and Acute Lymphoblastic Leukemia research (7 papers). Le H. Hua is often cited by papers focused on Multiple Sclerosis Research Studies (32 papers), Polyomavirus and related diseases (8 papers) and Acute Lymphoblastic Leukemia research (7 papers). Le H. Hua collaborates with scholars based in United States, Canada and United Kingdom. Le H. Hua's co-authors include Devon Conway, Leslie C. Baxter, Sterling C. Johnson, Irina A. Strigo, Brian A. Wandell, Kim Butts Pauly, Aviv Mezer, Nikola Stikov, Nam‐Joon Cho and Josef Parvizi and has published in prestigious journals such as Nature Medicine, Neurology and The Lancet Neurology.

In The Last Decade

Le H. Hua

37 papers receiving 751 citations

Author Peers

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

Author Last Decade Papers Cites
Le H. Hua 322 189 153 116 87 44 760
Habib Ganjgahi 346 1.1× 85 0.4× 114 0.7× 134 1.2× 60 0.7× 31 647
Efrosini Papadaki 245 0.8× 248 1.3× 130 0.8× 121 1.0× 69 0.8× 66 771
Guillaume Bonnier 362 1.1× 207 1.1× 66 0.4× 116 1.0× 96 1.1× 35 881
Laura E. Jonkman 446 1.4× 398 2.1× 107 0.7× 208 1.8× 116 1.3× 48 897
Sindhuja Tirumalai Govindarajan 362 1.1× 240 1.3× 82 0.5× 100 0.9× 81 0.9× 21 682
Anthony Faivre 304 0.9× 99 0.5× 121 0.8× 161 1.4× 98 1.1× 46 662
Léorah Freeman 445 1.4× 135 0.7× 66 0.4× 155 1.3× 206 2.4× 37 782
A. J. C. Eijlers 656 2.0× 220 1.2× 253 1.7× 160 1.4× 82 0.9× 27 839
Salem Hannoun 289 0.9× 289 1.5× 204 1.3× 104 0.9× 93 1.1× 54 740
Tom Fuchs 659 2.0× 113 0.6× 93 0.6× 219 1.9× 56 0.6× 54 818

Countries citing papers authored by Le H. Hua

Since Specialization
Citations

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

Fields of papers citing papers by Le H. Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le H. Hua. 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 Le H. Hua. The network helps show where Le H. Hua may publish in the future.

Co-authorship network of co-authors of Le H. Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Le H. Hua. A scholar is included among the top collaborators of Le H. Hua 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 Le H. Hua. Le H. Hua 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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