Xiao Fu

29 papers receiving 1.4k citations

Peers

Xiao Fu
Comparison fields: 5 of 101
  • Sensory Systems 240
  • Endocrine and Autonomic Systems 230
  • Genetics 303
  • Process Chemistry and Technology 28
  • Organic Chemistry 261
Replace Marı́a Teresa Alonso with:
Marı́a Teresa Alonso Spain
Fan‐Yan Wei Japan
Taku Kaitsuka Japan
Robert W. Mills United States
Seul Ki Lee South Korea
Kuniaki Narisawa Japan
Wenbing Chen China
Lance G. Hammerland United States
R.K. Somvanshi Canada
Xinping Lu United States
Xiao Fu relative to Marı́a Teresa Alonso Spain Marı́a Teresa Alonso's profile →
Citations per field
00.5×10×14×
Marı́a Teresa Alonso · 1×
Citations per year

Countries citing papers authored by Xiao Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008325
2 2011175
3 2000146
4 2011121
5 2002104
6 200762
7 199947
8 201447
9 198946
10 200843
11 200942
12 201042
13 199727
14 199725
15 201721
16 199620
17 199817
18 200114
19 202213
20 201811

About Xiao Fu

Xiao Fu is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (8 papers), Ion channel regulation and function (6 papers), Genetic and Kidney Cyst Diseases (4 papers), Neonatal Respiratory Health Research (4 papers), Biomedical Research and Pathophysiology (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (3 papers) and Ion Channels and Receptors (3 papers). The work is most often cited by research in Sensory Systems (240 citations), Endocrine and Autonomic Systems (230 citations), Genetics (303 citations), Process Chemistry and Technology (28 citations) and Organic Chemistry (261 citations). Xiao Fu has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Choon‐Hong Tan, Ernest Cutz, Colin A. Nurse, Gerd Walz, Albrecht Kramer-Zucker, Tomasz Węgierski, Dashou Wang, Mary C. Dinauer, Anthony M. Sun and Michael Köttgen. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Human Molecular Genetics, Journal of Neurophysiology, The Journal of Physiology and Advances in experimental medicine and biology.

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