Fang Guo

1.1k total citations
42 papers, 816 citations indexed

About

Fang Guo is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fang Guo has authored 42 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Obstetrics and Gynecology, 14 papers in Pediatrics, Perinatology and Child Health and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fang Guo's work include Pregnancy and preeclampsia studies (18 papers), Birth, Development, and Health (9 papers) and Reproductive System and Pregnancy (7 papers). Fang Guo is often cited by papers focused on Pregnancy and preeclampsia studies (18 papers), Birth, Development, and Health (9 papers) and Reproductive System and Pregnancy (7 papers). Fang Guo collaborates with scholars based in China, United States and New Zealand. Fang Guo's 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 and has published in prestigious journals such as Brain Research, The FASEB Journal and Hypertension.

In The Last Decade

Fang Guo

42 papers receiving 807 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fang Guo China 19 324 219 197 162 155 42 816
Theodosios Kyriakou United Kingdom 16 171 0.5× 185 0.8× 247 1.3× 132 0.8× 105 0.7× 21 823
Zhice Xu China 19 307 0.9× 313 1.4× 211 1.1× 172 1.1× 87 0.6× 62 859
Isabelle Lahaie Canada 16 270 0.8× 424 1.9× 235 1.2× 90 0.6× 82 0.5× 28 973
T Gräser Germany 19 107 0.3× 92 0.4× 191 1.0× 87 0.5× 45 0.3× 39 964
Joshua S. Speed United States 20 102 0.3× 175 0.8× 234 1.2× 334 2.1× 69 0.4× 58 1.1k
Sevvandi Senadheera Australia 16 346 1.1× 265 1.2× 189 1.0× 117 0.7× 130 0.8× 22 868
Francisco Westermeier Chile 20 420 1.3× 253 1.2× 307 1.6× 221 1.4× 55 0.4× 42 1.1k
Uma Yallampalli United States 16 211 0.7× 226 1.0× 174 0.9× 44 0.3× 70 0.5× 31 646
Odile Paulmyer‐Lacroix France 15 52 0.2× 121 0.6× 73 0.4× 107 0.7× 105 0.7× 31 870
MarkéŽta Vaňkov‡á Czechia 15 118 0.4× 87 0.4× 125 0.6× 61 0.4× 28 0.2× 48 642

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
1.
2.
Guo, Fang, et al.. (2024). Abnormal biochemical indicators of neonatal inherited metabolic disease in carriers. Orphanet Journal of Rare Diseases. 19(1). 145–145. 1 indexed citations
3.
Guo, Fang, et al.. (2023). A Novel Magnetic Spiral Capsule Endoscope Localization Method Based on an Improved Artificial Bee Colony Algorithm. IEEE Sensors Journal. 24(2). 1740–1750. 6 indexed citations
4.
Guo, Fang, et al.. (2023). Characterization and potential of periosteum-derived cells: an overview. Frontiers in Medicine. 10. 1235992–1235992. 5 indexed citations
5.
Xue, Baojian, et al.. (2022). Voluntary Exercise Prevents Hypertensive Response Sensitization Induced by Angiotensin II. Frontiers in Neuroscience. 16. 848079–848079. 4 indexed citations
6.
Hou, Bo, et al.. (2021). Associations between first-trimester intrauterine hematoma and twin pregnancy outcomes: a retrospective cohort study. BMC Pregnancy and Childbirth. 21(1). 46–46. 4 indexed citations
7.
Tang, Yunhui, Xinyan Zhang, Yi Zhang, et al.. (2021). Senescent Changes and Endoplasmic Reticulum Stress May Be Involved in the Pathogenesis of Missed Miscarriage. Frontiers in Cell and Developmental Biology. 9. 656549–656549. 11 indexed citations
8.
Long, Wei, Fang Guo, Ruen Yao, et al.. (2021). Genetic and Phenotypic Characteristics of Congenital Hypothyroidism in a Chinese Cohort. Frontiers in Endocrinology. 12. 705773–705773. 7 indexed citations
9.
Yang, Yuqi, Fang Guo, Rong Chen, et al.. (2021). Transcriptomic Profiling of Human Placenta in Gestational Diabetes Mellitus at the Single-Cell Level. Frontiers in Endocrinology. 12. 679582–679582. 56 indexed citations
10.
11.
Xue, Baojian, Yang Yu, Shun‐Guang Wei, et al.. (2019). Stress-Induced Sensitization of Angiotensin II Hypertension Is Reversed by Blockade of Angiotensin-Converting Enzyme or Tumor Necrosis Factor-α. American Journal of Hypertension. 32(9). 909–917. 20 indexed citations
12.
Guo, Fang, Wei Long, Wenbai Zhou, et al.. (2018). FTO, GCKR, CDKAL1 and CDKN2A/B gene polymorphisms and the risk of gestational diabetes mellitus: a meta-analysis. Archives of Gynecology and Obstetrics. 298(4). 705–715. 27 indexed citations
13.
Wu, Pengbo, et al.. (2015). [Association between patatin-like phospholipase domain-containing protein 3 gene rs738409 polymorphism and non-alcoholic fatty liver disease susceptibility: a meta-analysis].. PubMed. 36(1). 78–82. 1 indexed citations
14.
15.
Yu, Yang, Baojian Xue, Zhihua Zhang, et al.. (2013). Early Interference With p44/42 Mitogen-Activated Protein Kinase Signaling in Hypothalamic Paraventricular Nucleus Attenuates Angiotensin II–Induced Hypertension. Hypertension. 61(4). 842–849. 31 indexed citations
16.
Zhao, Min, Yongxiang Yin, Fang Guo, et al.. (2013). Placental expression of VEGF is increased in pregnancies with hydatidiform mole: Possible association with developing very early onset preeclampsia. Early Human Development. 89(8). 583–588. 9 indexed citations
17.
Chen, Q., Fang Guo, Huajun Jin, et al.. (2012). Phagocytosis of apoptotic trophoblastic debris protects endothelial cells against activation. Placenta. 33(7). 548–553. 39 indexed citations
18.
Chen, Qin, Fang Guo, Jianzhong Xiao, et al.. (2012). Calcium channel blockers prevent endothelial cell activation in response to necrotic trophoblast debris: possible relevance to pre-eclampsia. Cardiovascular Research. 96(3). 484–493. 22 indexed citations
19.
Guo, Fang, Xing Mao, J Wang, Feifei Luo, & Zhijun Wang. (2011). Gemcitabine Adsorbed onto Carbon Particles Increases Drug Concentrations at the Injection Site and in the Regional Lymph Nodes in an Animal Experiment and a Clinical Study. Journal of International Medical Research. 39(6). 2217–2227. 4 indexed citations
20.
Guo, Fang, Beihui Liu, Feige Tang, et al.. (2010). Astroglia are a possible cellular substrate of angiotensin(1-7) effects in the rostral ventrolateral medulla. Cardiovascular Research. 87(3). 578–584. 37 indexed citations

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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