Yiling Fu

1.2k citations
32 papers · 1k · h-index 17

Impact in

Papers in

Yiling Fu

30 papers receiving 990 citations

Peers

Yiling Fu
Comparison fields: 5 of 64
  • Nephrology 367
  • Endocrinology, Diabetes and Metabolism 338
  • Cardiology and Cardiovascular Medicine 201
  • Physiology 110
  • Physiology 15
Replace George Z. Fadda with:
George Z. Fadda United States
Maria Gerasimova United States
Malou Friederich‐Persson Sweden
Naoki Sugano Japan
Sobuj Mia Germany
Luminita H. Pojoga United States
Masanori Iwase Japan
Jianmin Ran China
Chenzhong Li China
Anne-Cécile Huby United States
Yiling Fu relative to George Z. Fadda United States George Z. Fadda's profile →
Citations per field
00.5×2×3×4.2×
George Z. Fadda · 1×
Citations per year

Countries citing papers authored by Yiling Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yiling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020172
2 2018140
3 201961
4 201560
5 201959
6 201252
7 200646
8 201043
9 201436
10 202036
11 201035
12 201831
13 200530
14 201128
15 201228
16 200726
17 201718
18 201317
19 201417
20 201516

About Yiling Fu

Yiling Fu is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Endocrine and Autonomic Systems, having authored 32 papers that have together received 1k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), Chronic Kidney Disease and Diabetes (6 papers), Renin-Angiotensin System Studies (6 papers), Ion Transport and Channel Regulation (4 papers), Blood Pressure and Hypertension Studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Regulation of Appetite and Obesity (3 papers) and Mast cells and histamine (3 papers). The work is most often cited by research in Nephrology (367 citations), Endocrinology, Diabetes and Metabolism (338 citations), Cardiology and Cardiovascular Medicine (201 citations), Physiology (110 citations) and Physiology (15 citations). Yiling Fu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Volker Vallon, Ruisheng Liu, Winnie Huang, Akira Onishi, Brent Freeman, Luis Augusto Juncos, Shaoheng He, Panai Song, Young Chul Kim and Scott Culver Thomson. Their work appears in journals such as American Journal of Physiology-Renal Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Hypertension, The FASEB Journal and ˜The œNephron journals/Nephron journals.

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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