Huijing Xia

44 papers receiving 2.5k citations

Peers

Huijing Xia
Comparison fields: 5 of 105
  • Cardiology and Cardiovascular Medicine 1.1k
  • Infectious Diseases 627
  • Endocrinology, Diabetes and Metabolism 487
  • Neurology 436
  • Pharmacology 262
Replace Mariela Mercedes Gironacci with:
Mariela Mercedes Gironacci Argentina
Jia Long Zhuo United States
David C. Kem United States
Harumi Kan‐no Japan
Su Yuan China
Tetsuo Nakata Japan
Christopher T. Chan United States
Fernando Pablo Dominici Argentina
Xian Wang China
Qi Zhao China
Huijing Xia relative to Mariela Mercedes Gironacci Argentina Mariela Mercedes Gironacci's profile →
Citations per field
00.5×2×4×6.1×
Mariela Mercedes Gironacci · 1×
Citations per year

Countries citing papers authored by Huijing Xia

Since Specialization
Citations

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

Fields of papers citing papers by Huijing Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Huijing Xia, 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 Huijing Xia Line = papers co-authored together Huijing Xia 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 2008272
2 2014230
3 2010173
4 2009167
5 2017153
6 2013150
7 2008126
8 2010124
9 2011110
10 200999
11 201481
12 201781
13 201467
14 201165
15 201359
16 201353
17 201451
18 202249
19 200940
20 200637

About Huijing Xia

Huijing Xia is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pharmacology, Biochemistry and Surgery, having authored 49 papers that have together received 2.5k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (22 papers), Hormonal Regulation and Hypertension (14 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (9 papers), Apelin-related biomedical research (8 papers), Receptor Mechanisms and Signaling (7 papers), Cardiovascular Function and Risk Factors (5 papers), Nitric Oxide and Endothelin Effects (5 papers) and Sulfur Compounds in Biology (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Infectious Diseases (627 citations), Endocrinology, Diabetes and Metabolism (487 citations), Neurology (436 citations) and Pharmacology (262 citations). Huijing Xia has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Eric D. Lazartigues, Srinivas Sriramula, Yumei Feng Earley, Kavaljit H. Chhabra, Catalin M. Filipeanu, Sharell M. Bindom, Matthew R. Deshotels, A. Hamid Boulares, Chetan Parkash Hans and Kim Brint Pedersen. Their work appears in journals such as The FASEB Journal, Circulation Research, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Hypertension and Journal of the American Heart Association.

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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