Xinling Liang

5.9k total citations
159 papers, 2.5k citations indexed

About

Xinling Liang is a scholar working on Nephrology, Molecular Biology and Epidemiology. According to data from OpenAlex, Xinling Liang has authored 159 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Nephrology, 37 papers in Molecular Biology and 26 papers in Epidemiology. Recurrent topics in Xinling Liang's work include Renal Diseases and Glomerulopathies (38 papers), Acute Kidney Injury Research (35 papers) and Chronic Kidney Disease and Diabetes (27 papers). Xinling Liang is often cited by papers focused on Renal Diseases and Glomerulopathies (38 papers), Acute Kidney Injury Research (35 papers) and Chronic Kidney Disease and Diabetes (27 papers). Xinling Liang collaborates with scholars based in China, United States and Japan. Xinling Liang's co-authors include Shuangxin Liu, Yuanhan Chen, Ruizhao Li, Zhiming Ye, Zheng Dong, Wenjian Wang, Zhilian Li, Chunyuan Guo, Guie Dong and Xingchen Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xinling Liang

148 papers receiving 2.5k citations

Peers

Xinling Liang
Comparison fields: 5 of 132
  • Nephrology 1.2k
  • Molecular Biology 808
  • Epidemiology 398
  • Pulmonary and Respiratory Medicine 331
  • Surgery 297
Replace Masahiro Nezu with:
Masahiro Nezu Japan
Shan Mou China
Haiping Mao China
Antonio Lacquaniti Italy
Toshiaki Nakano Japan
Wen‐Chih Chiang Taiwan
Miho Shimizu Japan
Giuseppe Coppolino Italy
Monika A. Niewczas United States
Jinghong Zhao China
Masahiro Nezu Japan View profile →
Citations per field, relative to Xinling Liang
Xinling Liang · 1×
Citations per year, relative to Xinling Liang
Xinling Liang · 1×

Countries citing papers authored by Xinling Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xinling Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinling Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinling Liang. A scholar is included among the top collaborators of Xinling Liang 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 Xinling Liang. Xinling Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 1
6 1
7 0
8 0
9 2
10 7
11 6
12 1
13 5
14 8
15 6
16 0
17 4
18 11
19 6
20
[The sensitivity and accuracy of RIFLE and AKIN criteria for acute kidney injury diagnosis in intensive care unit patients].
5

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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