Liangfeng Shi

692 citations
16 papers · 352 · h-index 10

Impact in

Papers in

    • Diabetes and associated disorders 3
    • Estrogen and related hormone effects 1
    • Immunodeficiency and Autoimmune Disorders 2
    • T-cell and B-cell Immunology 2

Liangfeng Shi

16 papers receiving 344 citations

Peers

Liangfeng Shi
Comparison fields: 5 of 48
  • Endocrinology, Diabetes and Metabolism 138
  • Immunology 73
  • Cancer Research 35
  • Genetics 58
  • Pathology and Forensic Medicine 30
Replace Aleksandra Pyzik with:
Aleksandra Pyzik Poland
Steve Bain United Kingdom
Nicola Leech United Kingdom
Kristi Alnek Estonia
H J Peter Switzerland
Alejandro Pascual Spain
Shuo Lin China
Xiongjie Shen China
Pierre‐François Souchon France
Joanne Boldison United Kingdom
Liangfeng Shi relative to Aleksandra Pyzik Poland Aleksandra Pyzik's profile →
Citations per field
00.5×3.9×
Aleksandra Pyzik · 1×
Citations per year

Countries citing papers authored by Liangfeng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Liangfeng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201551
2 201549
3 201233
4 201530
5
Different levels of circulating Th22 cell and its related molecules in Graves' disease and Hashimoto's thyroiditis.
201429
6 201528
7 201128
8 201625
9 201822
10 201422
11 20169
12 20179
13 20237
14 20175
15 20224
16 20101

About Liangfeng Shi

Liangfeng Shi is a scholar working on Genetics, Immunology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery, having authored 16 papers that have together received 352 indexed citations. Recurring topics across this work include Diabetes and associated disorders (3 papers), Thyroid Disorders and Treatments (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), T-cell and B-cell Immunology (2 papers), RNA modifications and cancer (2 papers), Hypothalamic control of reproductive hormones (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (138 citations), Immunology (73 citations), Cancer Research (35 citations), Genetics (58 citations) and Pathology and Forensic Medicine (30 citations). Liangfeng Shi has collaborated with scholars based in China. Frequent co-authors include Jin‐an Zhang, Wenjuan Jiang, Ronghua Song, Ling Xiao, Qiu Qin, Xuan Wang, Jian Xu, Yan Ni, Danfeng Li and Zhongyan Shan. Their work appears in journals such as Genomics, Journal of Molecular Endocrinology, International Journal of Molecular Sciences, Cellular Physiology and Biochemistry and BioMed Research 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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