Xiaoxi Liu

1.2k total citations · 1 hit paper
18 papers, 861 citations indexed

About

Xiaoxi Liu is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Xiaoxi Liu has authored 18 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Surgery. Recurrent topics in Xiaoxi Liu's work include Antibiotic Resistance in Bacteria (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Acute Myocardial Infarction Research (3 papers). Xiaoxi Liu is often cited by papers focused on Antibiotic Resistance in Bacteria (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Acute Myocardial Infarction Research (3 papers). Xiaoxi Liu collaborates with scholars based in United States, China and Japan. Xiaoxi Liu's co-authors include Vijay Nambi, Christie M. Ballantyne, Lloyd E. Chambless, Eric Boerwinkle, Salim S. Virani, Aaron R. Folsom, Thomas H. Mosley, Brad C. Astor, Josef Coresh and James A. de Lemos and has published in prestigious journals such as Circulation, Nature Communications and Stroke.

In The Last Decade

Xiaoxi Liu

18 papers receiving 845 citations

Hit Papers

Cardiac Troponin T Measured by a Highly Sensitive Assay P... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers

Xiaoxi Liu
Comparison fields: 5 of 93
  • Cardiology and Cardiovascular Medicine 625
  • Radiology, Nuclear Medicine and Imaging 184
  • Surgery 172
  • Pulmonary and Respiratory Medicine 98
  • Epidemiology 69
Replace Germán Cediel with:
Germán Cediel Spain
Magnus Nakrem Lyngbakken Norway
Carmel Conlon Ireland
Ruth F. Dubin United States
Ulrika Ljung Faxén Sweden
İdris Ardıç Türkiye
Claus Juenger Germany
Bibhu D. Mohanty United States
Mony Shuvy Israel
Ömer Şahin Türkiye
Germán Cediel Spain View profile →
Citations per field, relative to Xiaoxi Liu
Xiaoxi Liu · 1×
Citations per year, relative to Xiaoxi Liu
Xiaoxi Liu · 1×

Countries citing papers authored by Xiaoxi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxi Liu. A scholar is included among the top collaborators of Xiaoxi Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoxi Liu. Xiaoxi Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 2
3 3
4 3
5 2
6 4
7 9
8 8
9 6
10 37
11 15
12 1
13 1
14 8
15 19
16 77
17
Cardiac Troponin T Measured by a Highly Sensitive Assay Predicts Coronary Heart Disease, Heart Failure, and Mortality in the Atherosclerosis Risk in Communities Study breakdown →
561
18 104

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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