Jennifer Hua

544 citations
15 papers · 390 indexed · h-index 8
Topics
Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Immune Response and Inflammation (4 papers)Alzheimer's disease research and treatments (4 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
Partner nations
FranceUnited StatesJapan

In The Last Decade

Jennifer Hua

14 papers receiving 386 citations

Peers

Jennifer Hua
Comparison fields: 5 of 71
  • Neurology 177
  • Physiology 177
  • Molecular Biology 121
  • Cellular and Molecular Neuroscience 66
  • Immunology 50
Replace Zhaoli Hu with:
Zhaoli Hu China
Jeha Jeon South Korea
Fabio Perrucci Italy
Niamh Murphy Ireland
Sofie Kessels Belgium
Hengbing Zu China
Alexandra Phillips United Kingdom
Aanishaa Jhaldiyal United States
Stella C. Junqueira Brazil
Juan García‐Revilla Spain
Jennifer Hua relative to Zhaoli Hu China Zhaoli Hu's profile →
Citations per field
00.5×
Zhaoli Hu · 1×
Citations per year

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

15 of 15 papers shown
#WorkIndexed citations
1 5
2 12
3 9
4 0
5 1
6 1
7 13
8 2
9 12
10 236
11 53
12 8
13 33
14 1
15 4

About Jennifer Hua

Jennifer Hua is a scholar working on Neurology, Physiology and Developmental Neuroscience, having authored 15 papers that have together received 390 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immune Response and Inflammation (4 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Neurology (177 citations), Biological Psychiatry (48 citations) and Physiology (43 citations). Jennifer Hua has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Lauriane Ulmann, Hélène Hirbec, Anne-Laure Hemonnot-Girard, Nathalie Linck, Laurent Roybon, Macarena S. Arrázola, Tangui Maurice, Noélie Davezac, Pascale Belenguer and Manon Moulis. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

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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