Gao Yt

31 papers receiving 820 citations

Peers

Gao Yt
Comparison fields: 5 of 88
  • Endocrine and Autonomic Systems 95
  • Aging 17
  • Oncology 260
  • Endocrinology, Diabetes and Metabolism 128
  • Physiology 200
Replace Janet S. Hildebrand with:
Janet S. Hildebrand United States
B.-T. Ji China
Victor Kamensky United States
Hsin‐Fang Chung Australia
Haruo Mikami Japan
Jens Fuglsang Denmark
Kathryn Demanelis United States
Samim Ali Mondal India
Delia Almeida González Spain
Lluís Forga Spain
Gao Yt relative to Janet S. Hildebrand United States Janet S. Hildebrand's profile →
Citations per field
00.5×3.4×
Janet S. Hildebrand · 1×
Citations per year

Countries citing papers authored by Gao Yt

Since Specialization
Citations

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

Fields of papers citing papers by Gao Yt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
The expression of serum M30 and M65 in chronic hepatitis B patients with non-alcoholic fatty liver disease.
20155
2 201326
3 201251
4
[Studies on the relationship between polymorphism of IL-28B rs8099917 and the outcome of HBV infection].
20117
5 201132
6 201038
7 200918
8 200814
9 200818
10
[A case-control study on genetic polymorphism of CYP17 MspA(1)I and its association with endometrial cancer risk].
20071
11 200797
12
[Feasibility of genetic polymorphisms analysis using genomic DNA obtained from human buccal cells].
20051
13 200441
14 200475
15 200344
16 200253
17 200199
18 2001100
19 199314
20
A case-control study of lung cancer in Shanghai.
19854

About Gao Yt

Gao Yt is a scholar working on Chemical Health and Safety, Oncology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Pharmacy, having authored 31 papers that have together received 857 indexed citations. Recurring topics across this work include Cancer Risks and Factors (6 papers), Birth, Development, and Health (5 papers), Obesity, Physical Activity, Diet (4 papers), Nutritional Studies and Diet (3 papers), Nutrition, Genetics, and Disease (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), Global Cancer Incidence and Screening (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (95 citations), Aging (17 citations), Oncology (260 citations), Endocrinology, Diabetes and Metabolism (128 citations) and Physiology (200 citations). Gao Yt has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Wei Zheng, X-O Shu, Gong Yang, Frank Z. Stanczyk, Charles E. Matthews, Fan Jin, Faguang Jin, Qi Dai, Xiao‐Ou Shu and James R. Hébert. Their work appears in journals such as British Journal of Cancer, International Journal of Obesity, Occupational and Environmental Medicine, European Journal of Clinical Nutrition and Prostate Cancer and Prostatic Diseases.

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

Rankless by CCL
2026