Shupeng Lin

511 total citations
38 papers, 365 citations indexed

About

Shupeng Lin is a scholar working on Nephrology, Epidemiology and Molecular Biology. According to data from OpenAlex, Shupeng Lin has authored 38 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nephrology, 7 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Shupeng Lin's work include Chronic Kidney Disease and Diabetes (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Renal Diseases and Glomerulopathies (3 papers). Shupeng Lin is often cited by papers focused on Chronic Kidney Disease and Diabetes (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Renal Diseases and Glomerulopathies (3 papers). Shupeng Lin collaborates with scholars based in China, United States and United Kingdom. Shupeng Lin's co-authors include Xiangmei Chen, Guangyan Cai, Xueyuan Bai, Xiao‐Yuan Wu, Yingjie Zhang, Hongyi Liu, Wei Xu, Shuang Liang, Jianhui Zhou and Hanyu Zhu and has published in prestigious journals such as PLoS ONE, Bioresource Technology and The FASEB Journal.

In The Last Decade

Shupeng Lin

34 papers receiving 363 citations

Peers

Shupeng Lin
Comparison fields: 5 of 87
  • Nephrology 124
  • Molecular Biology 96
  • Genetics 74
  • Pathology and Forensic Medicine 48
  • Pulmonary and Respiratory Medicine 32
Replace Weijing Liu with:
Weijing Liu China
Elena Cantero‐Navarro Spain
Chuck Greenfeld United States
Mohamed M. S. Gaballa Egypt
Thibault Dolley‐Hitze France
Hanyu Li China
F. Begaux Belgium
Mingyang Li China
Sally A. Schuette United States
Haoyang Ma China
Weijing Liu China View profile →
Citations per field, relative to Shupeng Lin
Shupeng Lin · 1×
Citations per year, relative to Shupeng Lin
Shupeng Lin · 1×

Countries citing papers authored by Shupeng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shupeng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shupeng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shupeng Lin. A scholar is included among the top collaborators of Shupeng Lin 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 Shupeng Lin. Shupeng Lin 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 3
3 16
4 2
5 0
6 3
7 9
8 7
9 5
10 1
11 13
12 1
13 7
14 53
15 7
16 12
17 69
18 2
19 4
20 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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