Jing Li

11.0k citations
326 papers · 6.9k indexed · 1 hit paper · h-index 43

Impact in

Papers in

Jing Li

301 papers receiving 6.8k citations

Hit Papers

The JAK/STAT signaling pathway: from bench to clinic 2021 · 1.5k citations
1.5k202120262022202450010001.5k

Peers

Jing Li
Comparison fields: 5 of 167
  • Cancer Research 1.4k
  • Immunology 1.1k
  • Endocrinology, Diabetes and Metabolism 788
  • Molecular Biology 2.6k
  • Oncology 1.0k
Replace Yun Zhang with:
Yun Zhang China
Lin Sun China
Ana B. Sanz Spain
Qiong Huang China
John Cijiang He United States
Stamatios Theocharis Greece
Glenda C. Gobé Australia
Yan Liu China
Yashpal S. Kanwar United States
William S. Blaner United States
Jing Li relative to Yun Zhang China Yun Zhang's profile →
Citations per field
00.5×1.5×
Yun Zhang · 1×
Citations per year

Countries citing papers authored by Jing Li

Since Specialization
Citations

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

Fields of papers citing papers by Jing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20253
4 20246
5 20248
6 202413
7 20242
8 20242
9 20232
10 20237
11 202314
12 202310
13
Risk Factors of Deterioration in Quality of Life Scores in Thyroid Cancer Patients After Thyroidectomy
20191
14
The Therapeutic Effect of Melatonin on GC by Inducing Cell Apoptosis and Autophagy Induced by Endoplasmic Reticulum Stress
20191
15 201814
16 20184
17 20186
18
The contribution of thyroid autoimmunity to miscarriage in euthyroid women.
20163
19 201520
20 201413

About Jing Li

Jing Li is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Pathology and Forensic Medicine, Obstetrics and Gynecology and Genetics, having authored 326 papers that have together received 6.9k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (30 papers), Thyroid Disorders and Treatments (27 papers), Cancer-related molecular mechanisms research (26 papers), MicroRNA in disease regulation (20 papers), Estrogen and related hormone effects (19 papers), Circular RNAs in diseases (15 papers), RNA modifications and cancer (13 papers) and Cytokine Signaling Pathways and Interactions (13 papers). The work is most often cited by research in Cancer Research (1.4k citations), Immunology (1.1k citations), Endocrinology, Diabetes and Metabolism (788 citations), Molecular Biology (2.6k citations) and Oncology (1.0k citations). Jing Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaoyi Hu, Maorong Fu, Wei Wang, Xia Zhao, Zhongyan Shan, Weiping Teng, Changning Liu, Robert W. McMurray, Jane F. Reckelhoff and Babbette LaMarca. Their work appears in journals such as Scientific Reports, PLoS ONE, Oncotarget, Frontiers in Endocrinology and International Immunopharmacology.

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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