Fangyi Gu

24 papers receiving 1.1k citations

Peers

Fangyi Gu
Comparison fields: 5 of 97
  • Endocrine and Autonomic Systems 152
  • Experimental and Cognitive Psychology 214
  • Physiology 241
  • Aging 13
  • Biological Psychiatry 14
Replace Carmen Campino with:
Carmen Campino Chile
Ifigenia Kostoglou‐Athanassiou Greece
Doris Maria Gruber Austria
Marta G. Ladizesky Argentina
Maayan Barnea Israel
Marica Franzago Italy
José Antonio Fernández‐Formoso Spain
Franziska Götz Germany
Suhayla Mukaddam‐Daher Canada
Blanca Miriam Torres-Mendoza Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Fangyi Gu

Since Specialization
Citations

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

Fields of papers citing papers by Fangyi Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009194
2 2016174
3 2015154
4 201580
5 201678
6 201773
7 201247
8 201546
9 201746
10 201838
11 201430
12 200825
13 201624
14 201521
15 201120
16 201720
17 200916
18 201713
19 201810
20 201210

About Fangyi Gu

Fangyi Gu is a scholar working on Endocrine and Autonomic Systems, Experimental and Cognitive Psychology, Physiology, Health, Toxicology and Mutagenesis and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (3 papers), Circadian rhythm and melatonin (3 papers), Sleep and related disorders (3 papers), Dietary Effects on Health (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Air Quality and Health Impacts (2 papers), Immunotherapy and Immune Responses (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (152 citations), Experimental and Cognitive Psychology (214 citations), Physiology (241 citations), Aging (13 citations) and Biological Psychiatry (14 citations). Fangyi Gu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Neil E. Caporaso, Charles Edwards Matthews, Qian Xun Xiao, Joshua Neil Sampson, Andriy Derkach, Steven C. Moore, Susan E. Hankinson, Peter Kraft, Regina G. Ziegler and M. T. Landi. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, PLoS ONE, Journal of Thoracic Oncology, British Journal of Dermatology and International Journal of Epidemiology.

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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