Suhua Chen

983 total citations · 1 hit paper
9 papers, 617 citations indexed

About

Suhua Chen is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Suhua Chen has authored 9 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Obstetrics and Gynecology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Oncology. Recurrent topics in Suhua Chen's work include COVID-19 Impact on Reproduction (5 papers), COVID-19 and healthcare impacts (3 papers) and Pregnancy and preeclampsia studies (2 papers). Suhua Chen is often cited by papers focused on COVID-19 Impact on Reproduction (5 papers), COVID-19 and healthcare impacts (3 papers) and Pregnancy and preeclampsia studies (2 papers). Suhua Chen collaborates with scholars based in China and Russia. Suhua Chen's co-authors include Ling Feng, Wanjiang Zeng, Xingguang Lin, Shaoshuai Wang, Jianli Wu, Dongrui Deng, Nan Yu, Qingling Kang, Zhi Xiong and Yanyan Liu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, The Lancet Infectious Diseases and Journal of Medical Internet Research.

In The Last Decade

Suhua Chen

8 papers receiving 602 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical features and obstetric and neonatal outcomes of pregnant patients with COVID-19 in Wuhan, China: a retrospective, single-centre, descriptive study

2020 577 citations Nan Yu, Wei Li et al. The Lancet Infectious Diseases profile →

Peers

Suhua Chen

OG

PHEOH

PPCH

ONCOL

ID

Maria C. Alzamora United States

Júlia Gutiérrez San Juan China

Farida Elshafeey Egypt

Niraj N. Mahajan India

José Paulo de Siqueira Guida Brazil

Smriti Prasad United Kingdom

Arianna G. Cassidy United States

Helena Blakeway United Kingdom

Jill Diesel United States

Michael Daugherty United States

Maria C. Alzamora United States

Suhua Chen

410 ×0.8

OG

219 ×0.9

PHEOH

131 ×0.6

PPCH

69 ×0.5

ONCOL

76 ×0.6

ID

Citations per year, relative to Suhua Chen Suhua Chen (= 1×) peers Maria C. Alzamora

Countries citing papers authored by Suhua Chen

Since Specialization

Citations

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

Fields of papers citing papers by Suhua Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Suhua Chen. A scholar is included among the top collaborators of Suhua Chen 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 Suhua Chen. Suhua Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Zhang, Hongchuan, et al.. (2024). HK3: A potential prognostic biomarker with metastasis inhibition capabilities in hepatocellular carcinoma. Biochemical and Biophysical Research Communications. 741. 151057–151057.

2.

Chen, Ge, Xingguang Lin, Jianli Wu, et al.. (2021). Coronavirus disease 2019 in pregnant and non-pregnant women: a retrospective study. Chinese Medical Journal. 134(10). 1218–1220. 4 indexed citations

3.

Chen, Suhua, Wanjiang Zeng, Xingguang Lin, et al.. (2020). Clinical Characteristics and Outcomes of Childbearing-Age Women With COVID-19 in Wuhan: Retrospective, Single-Center Study. Journal of Medical Internet Research. 22(8). e19642–e19642. 17 indexed citations

4.

Yu, Nan, Wei Li, Qingling Kang, et al.. (2020). Clinical features and obstetric and neonatal outcomes of pregnant patients with COVID-19 in Wuhan, China: a retrospective, single-centre, descriptive study. The Lancet Infectious Diseases. 20(5). 559–564. 577 indexed citations breakdown →

5.

Chen, Suhua, Wanjiang Zeng, Xingguang Lin, et al.. (2020). Clinical Characteristics and Outcomes between Pregnant and Non-Pregnant Women with Coronavirus Disease 2019: A Retrospective Cohort Study. SSRN Electronic Journal. 3 indexed citations

6.

Li, Wěi, Nan Yu, Qingling Kang, et al.. (2020). Clinical manifestations and maternal and perinatal outcomes with COVID‐19. American Journal of Reproductive Immunology. 84(5). e13340–e13340. 7 indexed citations

7.

Chen, Suhua, Lina Sun, Yang Liu, et al.. (2015). [Development of human antibodies against the Gn protein of severe fever with thrombocytopenia syndrome virus].. PubMed. 31(1). 24–9. 1 indexed citations

8.

Chen, Suhua. (2009). An in Vitro Study of the Anti-cytomegalovirus Effect of Chlorogenic Acid. Yiyao daobao. 7 indexed citations

9.

Wang, Xinrong, et al.. (2004). [The experimental study of guinea pig cytomegalovirus infection in the kidney of the pup of guinea pig].. PubMed. 39(2). 91–3. 1 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.

Explore authors with similar magnitude of impact