Jia Hu

12 total papers · 609 total citations
8 papers, 458 citations indexed

About

Jia Hu is a scholar working on Molecular Biology, Nephrology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jia Hu has authored 8 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Nephrology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jia Hu's work include Inflammasome and immune disorders (7 papers), Gout, Hyperuricemia, Uric Acid (3 papers) and Lipid metabolism and disorders (2 papers). Jia Hu is often cited by papers focused on Inflammasome and immune disorders (7 papers), Gout, Hyperuricemia, Uric Acid (3 papers) and Lipid metabolism and disorders (2 papers). Jia Hu collaborates with scholars based in China and Macao. Jia Hu's co-authors include Fengqi Duan, Cheng Zeng, Hongmei Tan, Xuanhong Zhang, Hongyu Li, Shengli Yin, Xiuting Sun, Xiaoying Lou, Bin Luo and Juan Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinica Chimica Acta and Biomedicine & Pharmacotherapy.

In The Last Decade

Jia Hu

8 papers receiving 456 citations

Hit Papers

NLRP3 inflammasome-mediat... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Jia Hu 355 106 77 76 72 8 458
Xiaolan Yi 298 0.8× 92 0.9× 76 1.0× 38 0.5× 77 1.1× 7 537
Jie Yang 313 0.9× 120 1.1× 111 1.4× 64 0.8× 36 0.5× 16 482
Ahmed Elwakiel 187 0.5× 50 0.5× 70 0.9× 104 1.4× 30 0.4× 14 414
Patrick Wilkinson 190 0.5× 50 0.5× 197 2.6× 111 1.5× 53 0.7× 10 519
Huimin Xian 267 0.8× 82 0.8× 47 0.6× 41 0.5× 30 0.4× 7 441
Feng Gao 294 0.8× 37 0.3× 40 0.5× 121 1.6× 86 1.2× 16 530
Allyson Capili 264 0.7× 45 0.4× 100 1.3× 47 0.6× 89 1.2× 9 424
Oki Takeuchi 133 0.4× 132 1.2× 73 0.9× 125 1.6× 35 0.5× 9 552
Kenjiro Yamakawa 314 0.9× 49 0.5× 37 0.5× 56 0.7× 61 0.8× 13 477
Judith-Irina Pagel 220 0.6× 52 0.5× 74 1.0× 23 0.3× 65 0.9× 11 439

Countries citing papers authored by Jia Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Hu

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