Changlong Hu

1.4k citations
49 papers · 1.1k · h-index 20

Impact in

Papers in

Changlong Hu

44 papers receiving 1.1k citations

Peers

Changlong Hu
Comparison fields: 5 of 95
  • Sensory Systems 100
  • Endocrinology, Diabetes and Metabolism 313
  • Cellular and Molecular Neuroscience 301
  • Molecular Biology 642
  • Cardiology and Cardiovascular Medicine 155
Replace Rostislav Bychkov with:
Rostislav Bychkov Germany
Craig B. Neylon Australia
Michel Lazdunski France
Philippe Ghisdal Belgium
Brigitte Couette France
Omar Porras Chile
Mangala M. Soundarapandian United States
Jonathan Ledoux Canada
Hiroshi Onogi Japan
Thomas Dalsgaard Denmark
Changlong Hu relative to Rostislav Bychkov Germany Rostislav Bychkov's profile →
Citations per field
00.5×4.2×
Rostislav Bychkov · 1×
Citations per year

Countries citing papers authored by Changlong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Changlong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Changlong Hu, 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 Changlong Hu Line = papers co-authored together Changlong Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008150
2 201279
3 201377
4 201372
5 201264
6 201243
7 200642
8 201238
9 200937
10 200637
11 200435
12 201334
13 200430
14 200829
15 201827
16 201627
17 201624
18 201123
19 201623
20 201220

About Changlong Hu

Changlong Hu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Hormonal Regulation and Hypertension (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Ion Transport and Channel Regulation (9 papers), Receptor Mechanisms and Signaling (8 papers), Cardiac electrophysiology and arrhythmias (5 papers), Renin-Angiotensin System Studies (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). The work is most often cited by research in Sensory Systems (100 citations), Endocrinology, Diabetes and Metabolism (313 citations), Cellular and Molecular Neuroscience (301 citations), Molecular Biology (642 citations) and Cardiology and Cardiovascular Medicine (155 citations). Changlong Hu has collaborated with scholars based in China, United States and France. Frequent co-authors include Paula Q. Barrett, Yan‐Ai Mei, Nick A. Guagliardo, Junlan Yao, Robert M. Carey, Douglas A. Bayliss, Tingting Yang, Menghua Zhou, Lucinda A. Davies and Edmund M. Talley. Their work appears in journals such as Cellular Physiology and Biochemistry, Journal of Biological Chemistry, PLoS ONE, Proceedings of the National Academy of Sciences and Journal of Pineal Research.

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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