Jennifer Hua

27 total papers · 537 total citations
15 papers, 384 citations indexed

About

Jennifer Hua is a scholar working on Neurology, Physiology and Immunology. According to data from OpenAlex, Jennifer Hua has authored 15 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Physiology and 4 papers in Immunology. Recurrent topics in Jennifer Hua's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune Response and Inflammation (4 papers) and Alzheimer's disease research and treatments (4 papers). Jennifer Hua is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune Response and Inflammation (4 papers) and Alzheimer's disease research and treatments (4 papers). Jennifer Hua collaborates with scholars based in France, United States and Japan. Jennifer Hua's co-authors include Lauriane Ulmann, Anne-Laure Hemonnot-Girard, Hélène Hirbec, Véronique Berteaux‐Lecellier, Nathalie Linck, Pascale Belenguer, Macarena S. Arrázola, Marie‐Christine Miquel, Tangui Maurice and Aurélie Millet and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Jennifer Hua

14 papers receiving 379 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Hua 175 175 120 65 50 15 384
Kévin Carvalho 178 1.0× 115 0.7× 97 0.8× 68 1.0× 61 1.2× 15 395
Anna Podlesny‐Drabiniok 139 0.8× 149 0.9× 155 1.3× 63 1.0× 50 1.0× 9 383
Çiğdem Acıoğlu 163 0.9× 103 0.6× 120 1.0× 61 0.9× 78 1.6× 11 416
Julieta Saba 160 0.9× 111 0.6× 147 1.2× 167 2.6× 30 0.6× 14 430
Anne-Laure Hemonnot-Girard 164 0.9× 144 0.8× 123 1.0× 54 0.8× 54 1.1× 9 347
Majid Amar 116 0.7× 85 0.5× 91 0.8× 73 1.1× 26 0.5× 11 376
María Martín‐Estebané 279 1.6× 133 0.8× 117 1.0× 38 0.6× 128 2.6× 14 437
Haiqiang Zou 106 0.6× 65 0.4× 115 1.0× 51 0.8× 39 0.8× 25 360
Christina E. Toomey 201 1.1× 186 1.1× 113 0.9× 63 1.0× 71 1.4× 15 397
Prateep Pakavathkumar 118 0.7× 131 0.7× 263 2.2× 70 1.1× 58 1.2× 7 431

Countries citing papers authored by Jennifer Hua

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Hua

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