Xiao‐Tong Su

1.5k citations
46 papers · 1.2k · h-index 21

Impact in

Papers in

Xiao‐Tong Su

44 papers receiving 1.2k citations

Peers

Xiao‐Tong Su
Comparison fields: 5 of 70
  • Nutrition and Dietetics 354
  • Nephrology 151
  • Molecular Biology 973
  • Pulmonary and Respiratory Medicine 399
  • Endocrinology, Diabetes and Metabolism 190
Replace Otor Al‐Khalili with:
Otor Al‐Khalili United States
Solveig Großmann Germany
José Ponce‐Coria Mexico
Francesca Di Sole United States
Bela Malik United States
Yasuyoshi Yamaji Japan
Paola Capuano Switzerland
H. J. L. Speirs Australia
Luciene R. Carraro‐Lacroix Brazil
Linda Richardson United States
Xiao‐Tong Su relative to Otor Al‐Khalili United States Otor Al‐Khalili's profile →
Citations per field
00.5×4.9×
Otor Al‐Khalili · 1×
Citations per year

Countries citing papers authored by Xiao‐Tong Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Tong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017132
2 2014121
3 2018114
4 201947
5 201547
6 201944
7 201942
8 202039
9 201839
10 201636
11 202133
12 201833
13 201633
14 202132
15 201831
16 201825
17 202224
18 201824
19 201522
20 201622

About Xiao‐Tong Su

Xiao‐Tong Su is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (28 papers), Ion channel regulation and function (18 papers), Electrolyte and hormonal disorders (10 papers), Cardiac electrophysiology and arrhythmias (6 papers), Renal and related cancers (5 papers), Hormonal Regulation and Hypertension (4 papers), Magnesium in Health and Disease (4 papers) and Potassium and Related Disorders (3 papers). The work is most often cited by research in Nutrition and Dietetics (354 citations), Nephrology (151 citations), Molecular Biology (973 citations), Pulmonary and Respiratory Medicine (399 citations) and Endocrinology, Diabetes and Metabolism (190 citations). Xiao‐Tong Su has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Dao‐Hong Lin, Wen‐Hui Wang, David H. Ellison, Wen-Hui Wang, James A. McCormick, Chengbiao Zhang, Peng Wu, Chao-Ling Yang, Zhong‐Xiuzi Gao and Catherina A. Cuevas. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, Hypertension, International Journal of Molecular Sciences and The FASEB Journal.

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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