Fang Guo

1.1k citations
42 papers · 816 indexed · h-index 19
Topics
Pregnancy and preeclampsia studies (18 papers)Birth, Development, and Health (9 papers)Reproductive System and Pregnancy (7 papers)

In The Last Decade

Fang Guo

42 papers receiving 807 citations

Peers

Fang Guo
Comparison fields: 5 of 86
  • Obstetrics and Gynecology 324
  • Pediatrics, Perinatology and Child Health 219
  • Molecular Biology 197
  • Cardiology and Cardiovascular Medicine 162
  • Immunology 155
Replace Theodosios Kyriakou with:
Theodosios Kyriakou United Kingdom
Zhice Xu China
Isabelle Lahaie Canada
Chih‐Sung Hsieh Taiwan
Joshua S. Speed United States
T Gräser Germany
Odile Paulmyer‐Lacroix France
MarkéŽta Vaňkov‡á Czechia
Takeyoshi Ohkura Japan
Uma Yallampalli United States
Fang Guo relative to Theodosios Kyriakou United Kingdom Theodosios Kyriakou's profile →
Citations per field
00.5×2.6×
Theodosios Kyriakou · 1×
Citations per year

Countries citing papers authored by Fang Guo

Since Specialization
Citations

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

Fields of papers citing papers by Fang Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Guo. A scholar is included among the top collaborators of Fang Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Guo. Fang Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 5
4 6
5 54
6 2
7 11
8 4
9 7
10 56
11 56
12 27
13
[Association between patatin-like phospholipase domain-containing protein 3 gene rs738409 polymorphism and non-alcoholic fatty liver disease susceptibility: a meta-analysis].
1
14 18
15 12
16 9
17 22
18 39
19 37
20 2

About Fang Guo

Fang Guo is a scholar working on Obstetrics and Gynecology, Behavioral Neuroscience and Pediatrics, Perinatology and Child Health, having authored 42 papers that have together received 816 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (18 papers), Birth, Development, and Health (9 papers) and Reproductive System and Pregnancy (7 papers). The work is most often cited by research in Obstetrics and Gynecology (324 citations), Behavioral Neuroscience (73 citations) and Pediatrics, Perinatology and Child Health (219 citations). Fang Guo has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Alan Kim Johnson, Baojian Xue, Terry G. Beltz, Bin Yu, Zhongming Zhang, Yuqi Yang, Meredith Hay, Zhaoliang Su, Peter Stone and Larry Chamley. Their work appears in journals such as Brain Research, The FASEB Journal and Hypertension.

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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