Ling Song

4.7k citations
101 papers · 3.6k indexed · h-index 30

Impact in

Papers in

Ling Song

96 papers receiving 3.5k citations

Peers

Ling Song
Comparison fields: 5 of 134
  • Health, Toxicology and Mutagenesis 1.3k
  • Reproductive Medicine 321
  • Pollution 374
  • Cancer Research 463
  • Environmental Chemistry 274
Replace Wendy N. Jefferson with:
Wendy N. Jefferson United States
Shoulin Wang China
Aihua Gu China
Chuncheng Lu China
Timothy W. Gant United Kingdom
Zhenghong Zuo China
Günter Speit Germany
Jason Matthews Canada
Roger Godschalk Netherlands
Keiko Nohara Japan
Ling Song relative to Wendy N. Jefferson United States Wendy N. Jefferson's profile →
Citations per field
00.5×1.5×
Wendy N. Jefferson · 1×
Citations per year

Countries citing papers authored by Ling Song

Since Specialization
Citations

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

Fields of papers citing papers by Ling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20241
5 20243
6 20232
7 20225
8 202022
9 20183
10 20181
11 20171
12 201512
13 20148
14 201313
15 201082
16 201051
17 20109
18 200972
19 2008102
20 2003222

About Ling Song

Ling Song is a scholar working on Reproductive Medicine, Health, Toxicology and Mutagenesis, Pharmacology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 101 papers that have together received 3.6k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (19 papers), Sperm and Testicular Function (14 papers), Pesticide Exposure and Toxicity (11 papers), Reproductive Biology and Fertility (10 papers), Diabetes Treatment and Management (9 papers), Toxic Organic Pollutants Impact (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (8 papers) and Pharmacogenetics and Drug Metabolism (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.3k citations), Reproductive Medicine (321 citations), Pollution (374 citations), Cancer Research (463 citations) and Environmental Chemistry (274 citations). Ling Song has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xinru Wang, Yankai Xia, Guizhen Du, Richard S. Jope, Shoulin Wang, Hong Sun, Lichun Xu, David B. Corry, Farrah Kheradmand and Chuncheng Lu. Their work appears in journals such as Clinical Pharmacokinetics, Chemosphere, Toxicology Letters, PLoS ONE and Journal of Pharmaceutical and Biomedical Analysis.

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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