Li‐Ling Wang

626 citations
6 papers · 437 · 1 hit paper · h-index 5

Impact in

Papers in

Li‐Ling Wang

6 papers receiving 426 citations

Li‐Ling Wang's Hit Papers

Why are pregnant women susceptible to COVID-19? An immunological viewpoint 2020 · 347 citations
3470+2+4Years since publication100200300

Peers

Li‐Ling Wang
Comparison fields: 5 of 54
  • Obstetrics and Gynecology 238
  • Infectious Diseases 54
  • Biological Psychiatry 3
  • General Dentistry 1
  • Cancer Research 20
Replace Jacqueline G. Parchem with:
Jacqueline G. Parchem United States
Michal Dviri Israel
Jean Dupont Kemfang Ngowa Cameroon
Erin Stevens United States
Lesley B. Conrad United States
Tamás Major Hungary
Valerio Pisaturo Italy
Linda Lannom United States
Phillip A. Romanski United States
Li‐Ling Wang relative to Jacqueline G. Parchem United States Jacqueline G. Parchem's profile →
Citations per field
00.5×2×3.4×
Jacqueline G. Parchem · 1×
Citations per year

Countries citing papers authored by Li‐Ling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Why are pregnant women susceptible to COVID-19? An immunological viewpoint
Hit paper breakdown →
2020347
2 201637
3 201732
4 202112
5 20185
6 20244

About Li‐Ling Wang

Li‐Ling Wang is a scholar working on Immunology, Obstetrics and Gynecology, Reproductive Medicine, Cancer Research and Oncology, having authored 6 papers that have together received 437 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (1 paper), MicroRNA in disease regulation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Sperm and Testicular Function (1 paper), COVID-19 Impact on Reproduction (1 paper), Reproductive System and Pregnancy (1 paper) and Insect Resistance and Genetics (1 paper). The work is most often cited by research in Obstetrics and Gynecology (238 citations), Infectious Diseases (54 citations), Biological Psychiatry (3 citations), General Dentistry (1 citation) and Cancer Research (20 citations). Li‐Ling Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Aihua Liao, Gil Mor, Hong Liu, Joanne Y-H Kwak-Kim, Kahindo P. Muyayalo, Ru‐Jing Ren, Shengdi Chen, Xiaohui Hu, Yue Ming Huang and Gang Wang. Their work appears in journals such as American Journal of Reproductive Immunology, FEBS Letters, Pest Management Science and Journal of Reproductive Immunology.

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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