Chide Han

1.3k citations
32 papers · 1.1k · h-index 18

Impact in

Papers in

Chide Han

32 papers receiving 1.1k citations

Peers

Chide Han
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 506
  • Physiology 283
  • Molecular Biology 734
  • Biochemistry 75
  • Cardiology and Cardiovascular Medicine 166
Replace M T Piascik with:
M T Piascik United States
Douglas C. Eikenburg United States
P A Insel United States
Bernard Lévy United States
Laura Mantelli Italy
John Lesnick United States
André De Léan Canada
Manoj C. Rodrigo United States
C.J. Daly United Kingdom
Daniel W. Gil United States
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Citations per field
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Citations per year

Countries citing papers authored by Chide Han

Since Specialization
Citations

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

Fields of papers citing papers by Chide Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987435
2 198763
3
Interaction of subtype-selective antagonists with alpha 1-adrenergic receptor binding sites in rat tissues.
199161
4 200358
5 200550
6 200542
7 199233
8
Calcitonin gene-related peptide (CGRP) and neuropeptide Y (NPY) levels are elevated in plasma and decreased in vena cava during endotoxin shock in the rat.
199233
9 199731
10 199930
11 198829
12 199823
13 199723
14 198823
15 199722
16 199621
17 200318
18 199418
19 200514
20 199713

About Chide Han

Chide Han is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Surgery and Oncology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (12 papers), Neuroscience and Neuropharmacology Research (9 papers), Nitric Oxide and Endothelin Effects (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Adipose Tissue and Metabolism (4 papers), Neuroendocrine regulation and behavior (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (506 citations), Physiology (283 citations), Molecular Biology (734 citations), Biochemistry (75 citations) and Cardiology and Cardiovascular Medicine (166 citations). Chide Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peter W. Abel, Kenneth P. Minneman, Youyi Zhang, K P Minneman, Ronald R. Fiscus, Yueming Tang, John K. McDonald, Wenqiang Liao, Bryan D. Noe and Zhizhen Lü. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, European Journal of Pharmacology, Shock, Brain Research and Life Sciences.

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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