Jinlong Qi

760 citations
29 papers · 613 · h-index 15

Impact in

Papers in

Jinlong Qi

28 papers receiving 609 citations

Peers

Jinlong Qi
Comparison fields: 5 of 87
  • Sensory Systems 88
  • Cellular and Molecular Neuroscience 139
  • Physiology 134
  • Molecular Biology 343
  • Anesthesiology and Pain Medicine 21
Replace Xudong Ding with:
Xudong Ding China
Jorge E. Torres‐López Mexico
Sara González‐Rodríguez Spain
Miki Nonaka Japan
Ernő Zádor Hungary
Haijie Yu United States
Jill‐Desiree Brederson United States
In-Young Choi South Korea
Caijing Han China
Ieda R. S. Schivo Brazil
Jinlong Qi relative to Xudong Ding China Xudong Ding's profile →
Citations per field
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Xudong Ding · 1×
Citations per year

Countries citing papers authored by Jinlong Qi

Since Specialization
Citations

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

Fields of papers citing papers by Jinlong Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jinlong Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jinlong Qi Line = papers co-authored together Jinlong Qi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017133
2 201484
3 201744
4 201142
5 202228
6 201728
7 201628
8 201926
9 201325
10 200723
11 201120
12 201117
13 202017
14 201316
15 201615
16 201811
17 200810
18 201410
19 20209
20 20147

About Jinlong Qi

Jinlong Qi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems, Cardiology and Cardiovascular Medicine and Physiology, having authored 29 papers that have together received 613 indexed citations. Recurring topics across this work include Ion channel regulation and function (12 papers), Neuroscience and Neuropharmacology Research (8 papers), Ion Channels and Receptors (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Sesquiterpenes and Asteraceae Studies (3 papers), Phytochemical compounds biological activities (3 papers), Pain Mechanisms and Treatments (3 papers) and Pineapple and bromelain studies (3 papers). The work is most often cited by research in Sensory Systems (88 citations), Cellular and Molecular Neuroscience (139 citations), Physiology (134 citations), Molecular Biology (343 citations) and Anesthesiology and Pain Medicine (21 citations). Jinlong Qi has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Hailin Zhang, Xiaona Du, Nikita Gamper, Hailin Zhang, Fan Zhang, Shuai Guo, Yani Liu, Xuzhao Wang, Yafei Chen and Dongyang Huang. Their work appears in journals such as The Journal of Membrane Biology, Pflügers Archiv - European Journal of Physiology, Chromatographia, EURASIP Journal on Wireless Communications and Networking and Scientific Reports.

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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