Hua Yan

1.1k citations
58 papers · 780 indexed · h-index 17

Hua Yan

54 papers receiving 774 citations

Peers

Hua Yan
Comparison fields: 5 of 108
  • Neurology 94
  • Rehabilitation 76
  • Cancer Research 149
  • Physical Therapy, Sports Therapy and Rehabilitation 35
  • Developmental Neuroscience 27
Replace Stefan Hettwer with:
Stefan Hettwer Germany
Yasuhiro Suzuki Japan
Noriko Miyamoto Japan
Chenying Fu China
Ming Cheng China
Haihong Zhang China
Min Yin China
Nam Vo United States
Lixin Zhang China
Jiwon Chang South Korea
Hua Yan relative to Stefan Hettwer Germany Stefan Hettwer's profile →
Citations per field
00.5×2.7×
Stefan Hettwer · 1×
Citations per year

Countries citing papers authored by Hua Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hua Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20251
4 20241
5 20243
6 202119
7 202110
8 202146
9 202038
10 202014
11 202025
12 20184
13 201825
14 20183
15 20187
16
Increased leakage of brain antigens after traumatic brain injury and effect of immune tolerance induced by cells on traumatic brain injury.
201212
17 201122
18
Ultrastructure of Sunflower Embryo Sac in Respect to the Concept of Female Germ Unit
19901
19
An Ultrastructural Study on the In Vitro Parthenogenesis in Sunflower
19891
20
Regulation of In Vitro Parthenogenesis and Somatic Proliferation in Sunflower by Several Factors
19873

About Hua Yan

Hua Yan is a scholar working on Neurology, Developmental Neuroscience and Rehabilitation, having authored 58 papers that have together received 780 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Ferroptosis and cancer prognosis (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Immune cells in cancer (7 papers), Stroke Rehabilitation and Recovery (5 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers) and Sunflower and Safflower Cultivation (4 papers). The work is most often cited by research in Neurology (94 citations), Rehabilitation (76 citations) and Cancer Research (149 citations). Hua Yan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Lixia Xu, Haiyang Wu, Qiaoli Wu, Zhiming Sun, Yan Zhou, Linjian Tong, Weijia Fan, Xiaoguang Tong, Baolong Liu and William A. Jensen. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

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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