Xi Yang

1.4k citations
90 papers · 959 · h-index 15

Impact in

Papers in

Xi Yang

82 papers receiving 947 citations

Peers

Xi Yang
Comparison fields: 5 of 115
  • Nephrology 66
  • Obstetrics and Gynecology 52
  • Infectious Diseases 106
  • Cardiology and Cardiovascular Medicine 110
  • Internal Medicine 16
Replace Elisabetta Zinellu with:
Elisabetta Zinellu Italy
Anahita Ghorbani United States
Marco Bruno Morelli Italy
James V. Winkler United States
Iolanda Mazzucchelli Italy
José J. Zamorano‐León Spain
James C.G. Doery Australia
Eytan Cohen Israel
Xi Yang relative to Elisabetta Zinellu Italy Elisabetta Zinellu's profile →
Citations per field
00.5×2.9×
Elisabetta Zinellu · 1×
Citations per year

Countries citing papers authored by Xi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017102
2 201695
3 202287
4 201686
5 202152
6 201734
7 201730
8 202427
9 201224
10 202121
11
Effect of the stellate ganglion on atrial fibrillation and atrial electrophysiological properties and its left-right asymmetry in a canine model.
201319
12 201516
13 201116
14 201715
15 201715
16 201614
17 202013
18 201613
19 201512
20 201512

About Xi Yang

Xi Yang is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Oncology, Obstetrics and Gynecology and Hematology, having authored 90 papers that have together received 959 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (5 papers), Gynecological conditions and treatments (4 papers), Renal Diseases and Glomerulopathies (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Immune cells in cancer (3 papers), Endometrial and Cervical Cancer Treatments (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Nephrology (66 citations), Obstetrics and Gynecology (52 citations), Infectious Diseases (106 citations), Cardiology and Cardiovascular Medicine (110 citations) and Internal Medicine (16 citations). Xi Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiangmei Chen, Qingping Li, Yibing Ji, Tingting Hong, Ri‐bao Wei, Mengjie Huang, Ting-Yu Su, Yang Wang, Ping Li and Ping Di. Their work appears in journals such as Journal of Pharmaceutical Sciences, Blood, Medicine, BMJ Open and Epidemiology and Infection.

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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