Hong Yang

78 papers receiving 2.8k citations

Peers

Hong Yang
Comparison fields: 5 of 120
  • Obstetrics and Gynecology 321
  • Endocrine and Autonomic Systems 258
  • Hepatology 166
  • Endocrinology, Diabetes and Metabolism 326
  • Pediatrics, Perinatology and Child Health 332
Replace Jian Shen with:
Jian Shen China
Stanley E. Fisher United States
Kenneth John Hardy Australia
Yongli Yao China
Ciro Imbimbo Italy
Ottavio Giampietro Italy
Wendy Y. Craig United States
Noriyuki Takeda Japan
Anders Gummesson Sweden
Dimitrios Papazoglou Greece
Hong Yang relative to Jian Shen China Jian Shen's profile →
Citations per field
00.5×2×2.7×
Jian Shen · 1×
Citations per year

Countries citing papers authored by Hong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017294
2 2002264
3 2014165
4 1998144
5 2014119
6 2017113
7 2015109
8 2022109
9 2018108
10 2002103
11 201389
12 201786
13 200284
14 200982
15 201072
16 201169
17 201461
18 200052
19 201445
20 202333

About Hong Yang

Hong Yang is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Surgery, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 82 papers that have together received 2.9k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (7 papers), Thyroid Disorders and Treatments (5 papers), Kruppel-like factors research (4 papers), Gut microbiota and health (4 papers), Uterine Myomas and Treatments (4 papers), Pregnancy and preeclampsia studies (3 papers), Inflammatory Bowel Disease (3 papers) and Pediatric Hepatobiliary Diseases and Treatments (3 papers). The work is most often cited by research in Obstetrics and Gynecology (321 citations), Endocrine and Autonomic Systems (258 citations), Hepatology (166 citations), Endocrinology, Diabetes and Metabolism (326 citations) and Pediatrics, Perinatology and Child Health (332 citations). Hong Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Robert William Platt, Robert H. Usher, Michael S. Kramer, Hui Tian, Xuemian Lu, Lechu Yu, K.S. Joseph, Shi Wu Wen, Isabelle Ouellet Morin and Lei Ling. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, Frontiers in Nutrition, Obstetrical & Gynecological Survey and Journal of Pediatric Surgery.

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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