Xiao‐Ru Huang

4.4k total citations
84 papers, 3.5k citations indexed

About

Xiao‐Ru Huang is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Xiao‐Ru Huang has authored 84 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 31 papers in Immunology and 20 papers in Nephrology. Recurrent topics in Xiao‐Ru Huang's work include TGF-β signaling in diseases (16 papers), Chronic Kidney Disease and Diabetes (13 papers) and Renal and related cancers (12 papers). Xiao‐Ru Huang is often cited by papers focused on TGF-β signaling in diseases (16 papers), Chronic Kidney Disease and Diabetes (13 papers) and Renal and related cancers (12 papers). Xiao‐Ru Huang collaborates with scholars based in Hong Kong, China and United States. Xiao‐Ru Huang's co-authors include Hui Y. Lan, Patrick Ming‐Kuen Tang, Xueqing Yu, Cheuk‐Man Yu, Yue-Yu Gu, Xusheng Liu, Ka‐Fai To, Lihua Wei, Philip Chiu‐Tsun Tang and Xiao‐Ming Meng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Xiao‐Ru Huang

81 papers receiving 3.4k citations

Peers

Xiao‐Ru Huang
Comparison fields: 5 of 121
  • Molecular Biology 1.6k
  • Nephrology 896
  • Immunology 762
  • Cancer Research 565
  • Oncology 450
Replace Kei Yamamoto with:
Kei Yamamoto Japan
Sandra Rayego‐Mateos Spain
Rujun Gong United States
Jeffrey L. Barnes United States
Nichola Figg United Kingdom
Weichun He China
Lakshman Gunaratnam Canada
Daniela Rottoli Italy
Farhad R. Danesh United States
Roderick J. Tan United States
Kei Yamamoto Japan View profile →
Citations per field, relative to Xiao‐Ru Huang
Xiao‐Ru Huang · 1×
Citations per year, relative to Xiao‐Ru Huang
Xiao‐Ru Huang · 1×

Countries citing papers authored by Xiao‐Ru Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Ru Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Ru Huang. 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 Xiao‐Ru Huang. The network helps show where Xiao‐Ru Huang may publish in the future.

Co-authorship network of co-authors of Xiao‐Ru Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Ru Huang. A scholar is included among the top collaborators of Xiao‐Ru Huang 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 Xiao‐Ru Huang. Xiao‐Ru Huang 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 0
3 3
4 6
5 15
6 2
7 24
8 59
9 5
10 120
11 17
12 72
13 98
14 67
15 52
16 108
17 128
18 2
19 64
20 28

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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