Huilan Wang

55 papers receiving 701 citations

Peers

Huilan Wang
Comparison fields: 5 of 104
  • Obstetrics and Gynecology 56
  • Aging 12
  • Cancer Research 76
  • Reproductive Medicine 43
  • Immunology 81
Replace Sandrine Truchet with:
Sandrine Truchet France
Fei Ji United States
Yuqing Wu Germany
Ronghui Zhu China
Hui Xing China
Zili Lei China
Hisashi Hashimoto Japan
Hyun Joo Choi South Korea
Veronica Fiorito Italy
Huilan Wang relative to Sandrine Truchet France Sandrine Truchet's profile →
Citations per field
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Sandrine Truchet · 1×
Citations per year

Countries citing papers authored by Huilan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huilan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202066
2 201946
3 202344
4 201443
5 201637
6 201135
7 202033
8 202029
9 201229
10 202124
11 201521
12 201820
13 201619
14 201517
15 201117
16 201717
17 202016
18 202214
19 202214
20
[Multi-center study of motherwort injection to prevent postpartum hemorrhage after caesarian section].
200914

About Huilan Wang

Huilan Wang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Applied Mathematics, Obstetrics and Gynecology and Modeling and Simulation, having authored 58 papers that have together received 713 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Nonlinear Differential Equations Analysis (6 papers), Endometrial and Cervical Cancer Treatments (3 papers), Advanced Differential Equations and Dynamical Systems (3 papers), Fractional Differential Equations Solutions (3 papers), Reproductive tract infections research (3 papers), Fibroblast Growth Factor Research (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Obstetrics and Gynecology (56 citations), Aging (12 citations), Cancer Research (76 citations), Reproductive Medicine (43 citations) and Immunology (81 citations). Huilan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jianqin Wei, Chunmeng Shi, Qingzhi Jiang, Chunming Dong, Keith A. Webster, Peng Luo, Zhongyu Wang, Haixia Long, Bo Zhu and Xinyu Cheng. Their work appears in journals such as Boundary Value Problems, Frontiers in Oncology, Journal of Biological Chemistry, Thrombosis Research and Abstract and Applied Analysis.

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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