Jing Yan

2.6k citations
63 papers · 1.5k · 1 hit paper · h-index 21

Impact in

Papers in

Jing Yan

60 papers receiving 1.5k citations

Jing Yan's Hit Papers

Psychological stress of ICU nurses in the time of COVID-19 2020 · 294 citations
2940+2+4Years since publication50100150200250

Peers

Jing Yan
Comparison fields: 5 of 154
  • Health, Toxicology and Mutagenesis 239
  • Geriatrics and Gerontology 65
  • Clinical Psychology 270
  • Conservation 41
  • Radiological and Ultrasound Technology 57
Replace Toshiaki Otsuka with:
Toshiaki Otsuka Japan
Sarah Hanson United Kingdom
Tomoko Takamiya Japan
Qing Yang China
Shizukiyo Ishikawa Japan
Cristina Pellegrino Baena Brazil
Donata Kurpas Poland
Manuel A. Gómez‐Marcos Spain
Inés Aguinaga-Ontoso Spain
Finlay Dick United Kingdom
Jing Yan relative to Toshiaki Otsuka Japan Toshiaki Otsuka's profile →
Citations per field
00.5×6.9×
Toshiaki Otsuka · 1×
Citations per year

Countries citing papers authored by Jing Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Psychological stress of ICU nurses in the time of COVID-19
Hit paper breakdown →
2020294
2 2012185
3 201784
4 202083
5 202261
6 201258
7 201648
8 201947
9 201638
10 201534
11 202033
12 201931
13 201929
14 201929
15 202327
16 201027
17 202126
18 201725
19 201324
20 201122

About Jing Yan

Jing Yan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, General Health Professions and Physiology, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (7 papers), Medicinal Plants and Bioactive Compounds (5 papers), Sepsis Diagnosis and Treatment (5 papers), Heart Rate Variability and Autonomic Control (4 papers), Postharvest Quality and Shelf Life Management (4 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (3 papers) and Nutritional Studies and Diet (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (239 citations), Geriatrics and Gerontology (65 citations), Clinical Psychology (270 citations), Conservation (41 citations) and Radiological and Ultrasound Technology (57 citations). Jing Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Li Li, Xin Shen, Xiaoyue Zou, Xiaofeng Zhong, Genxiang Mao, Guofu Wang, Yong-Bao Cao, Li Li, Xiaoqing Jin and Jin Yu. Their work appears in journals such as OncoTargets and Therapy, Oxidative Medicine and Cellular Longevity, Value in Health, BioMed Research International and Cancer Cell International.

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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