Dao‐Hong Lin

2.9k citations
85 papers · 2.4k · h-index 30

Impact in

Papers in

Dao‐Hong Lin

81 papers receiving 2.4k citations

Peers

Dao‐Hong Lin
Comparison fields: 5 of 88
  • Nutrition and Dietetics 436
  • Biochemistry 204
  • Molecular Biology 1.8k
  • Endocrinology, Diabetes and Metabolism 385
  • Nephrology 154
Replace Hassane Amlal with:
Hassane Amlal United States
Pablo A. Ortiz United States
Tengis S. Pavlov United States
Vladislav Levchenko United States
May Bloch-Faure France
Daria V. Ilatovskaya United States
Christoph Böhmer Germany
J Terris United States
Shyama Masilamani United States
Ulla G. Friis Denmark
Dao‐Hong Lin relative to Hassane Amlal United States Hassane Amlal's profile →
Citations per field
00.5×1.5×2.2×
Hassane Amlal · 1×
Citations per year

Countries citing papers authored by Dao‐Hong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dao‐Hong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017138
2 2014124
3 2018116
4 200485
5 200174
6 201670
7 200662
8 200756
9 200454
10 200254
11 201151
12 200950
13 200249
14 201349
15 201548
16 202045
17 201944
18 200542
19 200641
20 201040

About Dao‐Hong Lin

Dao‐Hong Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics, having authored 85 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (56 papers), Ion channel regulation and function (41 papers), Electrolyte and hormonal disorders (15 papers), Hormonal Regulation and Hypertension (11 papers), Cardiac electrophysiology and arrhythmias (9 papers), Eicosanoids and Hypertension Pharmacology (7 papers), Magnesium in Health and Disease (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Nutrition and Dietetics (436 citations), Biochemistry (204 citations), Molecular Biology (1.8k citations), Endocrinology, Diabetes and Metabolism (385 citations) and Nephrology (154 citations). Dao‐Hong Lin has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Wen‐Hui Wang, Xiao‐Tong Su, Peng Yue, Chengbiao Zhang, Gerhard Giebisch, Hyacinth Sterling, Peng Sun, Peng Wu, Zhong‐Xiuzi Gao and Yuan Wei. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, Hypertension, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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.

Explore authors with similar magnitude of impact