Jing Yuan

5.9k citations
183 papers · 2.9k indexed · 1 hit paper · h-index 27

Jing Yuan

170 papers receiving 2.9k citations

Hit Papers

Prevalence of gestational diabetes mellitus in mainland C...4562018202620202023100200300400

Peers

Jing Yuan
Comparison fields: 5 of 183
  • Obstetrics and Gynecology 405
  • Endocrinology, Diabetes and Metabolism 324
  • Cancer Research 254
  • Neurology 231
  • Metals and Alloys 32
Replace Jun Wang with:
Jun Wang China
Emanuela Turillazzi Italy
Yanni Wang China
Xiaoli Chen China
Tanja Zeller Germany
Miguel Á. Ortega Spain
Elizabeth Thompson United Kingdom
Nobuyuki Tanaka Japan
Rong Chen China
Lang Wu United States
Jing Yuan relative to Jun Wang China Jun Wang's profile →
Citations per field
00.5×10.7×
Jun Wang · 1×
Citations per year

Countries citing papers authored by Jing Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jing Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20243
4 20240
5 202313
6 202310
7 20237
8 202310
9 202210
10 202242
11 20225
12 202124
13 2019109
14 20196
15 20166
16 20150
17 201331
18
Nitrogen fixation additive reducing emission of NH3 and H2S during composting of kitchen waste and cornstalk.
20135
19 20131
20
Solid Fermentation Technique for Cordycepin Production by Cordyceps nigrella Strain cnig-56
20104

About Jing Yuan

Jing Yuan is a scholar working on Developmental Neuroscience, Complementary and alternative medicine and Oncology, having authored 183 papers that have together received 2.9k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (11 papers), Pancreatic and Hepatic Oncology Research (10 papers), Autoimmune Neurological Disorders and Treatments (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Acute Ischemic Stroke Management (6 papers), Cancer-related Molecular Pathways (5 papers), Traditional Chinese Medicine Studies (5 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Obstetrics and Gynecology (405 citations), Endocrinology, Diabetes and Metabolism (324 citations) and Cancer Research (254 citations). Jing Yuan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Li Lu, Fangwei Liu, Chenghan Gao, Xin Sun, Xin Ma, Jianping Shen, Huilan Y. Krenn, Shanshan Hu, Bruce G. Haffty and Renato Baserga. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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