Song Ling

1.4k citations
37 papers · 1.1k indexed · h-index 20

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Systemic Lupus Erythematosus Research 7
    • Rheumatoid Arthritis Research and Therapies 7
    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 6

Song Ling

36 papers receiving 1.0k citations

Peers

Song Ling
Comparison fields: 5 of 102
  • Rheumatology 272
  • Immunology 342
  • Physiology 60
  • Cancer Research 108
  • Immunology and Allergy 33
Replace Cristiana Barbati with:
Cristiana Barbati Italy
Jacques Behmoaras United Kingdom
Yoshishige Miyabe Japan
Gustaf Wigerblad United States
Tomohiro Kato Japan
Myoungsun Son United States
Günther Staffler Austria
Wen Qiu China
Congshan Jiang China
Yueran Zhao China
Song Ling relative to Cristiana Barbati Italy Cristiana Barbati's profile →
Citations per field
00.5×1.5×
Cristiana Barbati · 1×
Citations per year

Countries citing papers authored by Song Ling

Since Specialization
Citations

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

Fields of papers citing papers by Song Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20237
3 20237
4 202212
5 202123
6 202018
7 202053
8 201921
9 201817
10 20173
11 201242
12 201223
13 201036
14 201033
15 200759
16 200736
17 200723
18 200684
19 200635
20 200635

About Song Ling

Song Ling is a scholar working on Rheumatology, Immunology, Biological Psychiatry, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Immune Cell Function and Interaction (7 papers), Systemic Lupus Erythematosus Research (7 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (6 papers), Neonatal Respiratory Health Research (4 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Rheumatology (272 citations), Immunology (342 citations), Physiology (60 citations), Cancer Research (108 citations) and Immunology and Allergy (33 citations). Song Ling has collaborated with scholars based in United States, China and Latvia. Frequent co-authors include Joseph Holoshitz, Xiujun Pi, Denise E. de Almeida, Paul Pumpens, Michael R. Blackburn, Qing Tian, Shuhua Yang, Zengwu Shao, Yong Liu and Kevin K. Kim. Their work appears in journals such as The Journal of Immunology, FEBS Letters, American Journal of Respiratory Cell and Molecular Biology, Journal of Ethnopharmacology and Biomedicine & Pharmacotherapy.

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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