Hua Hu

6.0k citations
49 papers · 4.4k indexed · 2 hit papers · h-index 25
Topics
Neuroscience and Neuropharmacology Research (22 papers)Neural dynamics and brain function (17 papers)Ion channel regulation and function (9 papers)
Partner nations
ChinaNorwayAustria

In The Last Decade

Hua Hu

46 papers receiving 4.4k citations

Hit Papers

Fast-spiking, parvalbumin + GABAergic interneurons: From ...201420262018202220142020250500750

Peers

Hua Hu
Comparison fields: 5 of 154
  • Cellular and Molecular Neuroscience 3.0k
  • Molecular Biology 2.0k
  • Cognitive Neuroscience 1.7k
  • Cardiology and Cardiovascular Medicine 463
  • Neurology 411
Replace Dax A. Hoffman with:
Dax A. Hoffman United States
Yousheng Shu China
José L. Lanciego Spain
Takuya Sasaki Japan
Alison L. Barth United States
Andrei Rozov Germany
Michele Migliore Italy
Jochen Roeper Germany
Peer Wulff Germany
Paul De Koninck Canada
Hua Hu relative to Dax A. Hoffman United States Dax A. Hoffman's profile →
Citations per field
00.5×1.5×1.9×
Dax A. Hoffman · 1×
Citations per year

Countries citing papers authored by Hua Hu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Hu. A scholar is included among the top collaborators of Hua Hu 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 Hua Hu. Hua Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 22
4 7
5 22
6 30
7
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientationbreakdown →
313
8 45
9 19
10 7
11 133
12 13
13 63
14 149
15 122
16 0
17 106
18 286
19 77
20 338

About Hua Hu

Hua Hu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 49 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (22 papers), Neural dynamics and brain function (17 papers) and Ion channel regulation and function (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.0k citations), Cognitive Neuroscience (1.7k citations) and Neurology (411 citations). Hua Hu has collaborated with scholars based in China, Norway and Austria. Frequent co-authors include Johan F. Storm, Péter Jónás, Koen Vervaeke, Jian Gan, Ning Gu, Olaf Pongs, Dirk Isbrandt, Henning Peters, Lyle J. Graham and Maria Trieb. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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