Caijing Han

1.1k citations
29 papers · 985 · h-index 13

Impact in

Papers in

Caijing Han

26 papers receiving 958 citations

Peers

Caijing Han
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 411
  • Urology 72
  • Physiology 272
  • Biochemistry 58
  • Biochemistry 68
Replace Matthew V. Sennitt with:
Matthew V. Sennitt United Kingdom
V. Bauer Slovakia
Kyu Pil Lee South Korea
Juan Javier López-Guerrero Mexico
Chung‐Kil Won South Korea
Akihito Morita Japan
Angelo Mancinelli Italy
SJ Konturek Poland
Esmaeal Tamaddonfard Iran
Zejian Wang China
Caijing Han relative to Matthew V. Sennitt United Kingdom Matthew V. Sennitt's profile →
Citations per field
00.5×9.7×
Matthew V. Sennitt · 1×
Citations per year

Countries citing papers authored by Caijing Han

Since Specialization
Citations

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

Fields of papers citing papers by Caijing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Caijing 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 Caijing Han Line = papers co-authored together Caijing Han 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 1987258
2 1988244
3 1994114
4 201464
5 199155
6 199135
7 199232
8 201529
9 201427
10 200321
11 199520
12
Alpha(1)-adrenoceptor subtypes mediating inotropic responses in rat heart.
199919
13 202317
14 202210
15 20187
16 20226
17 20245
18 20194
19 20194
20 20173

About Caijing Han

Caijing Han is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Materials Chemistry, Biochemistry and Surgery, having authored 29 papers that have together received 985 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Enzyme Structure and Function (6 papers), Neuropeptides and Animal Physiology (4 papers), Phytochemicals and Antioxidant Activities (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (411 citations), Urology (72 citations), Physiology (272 citations), Biochemistry (58 citations) and Biochemistry (68 citations). Caijing Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kenneth P. Minneman, Peter W. Abel, Timothy A. Esbenshade, Susanne Hollinger, Ronald R. Fiscus, Xiangyan Chen, Haiqing Yan, Anwei Cheng, Yaoqi Tian and Wenliang Wang. Their work appears in journals such as Molecular Pharmacology, Neuropeptides, International Journal of Biological Macromolecules, Journal of the Science of Food and Agriculture and RSC Advances.

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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