Ling Zeng

6.0k citations
148 papers · 4.3k indexed · 3 hit papers · h-index 32

Impact in

Papers in

Ling Zeng

134 papers receiving 4.3k citations

Hit Papers

Sepsis-induced immunosuppression: mechanisms, diagnosis and current treatment options 2022 · 380 citations
3802016202620192022100200300400

Peers

Ling Zeng
Comparison fields: 5 of 142
  • Immunology 1.3k
  • Critical Care and Intensive Care Medicine 193
  • Cancer Research 550
  • Molecular Biology 2.1k
  • Epidemiology 978
Replace Jeffrey A. Haspel with:
Jeffrey A. Haspel United States
Monowar Aziz United States
Viktória Jeney Hungary
Yuka Sumi Japan
Jessy S. Deshane United States
Robin van Bruggen Netherlands
Patty J. Lee United States
Dominik J. Schaer Switzerland
Firas S. Zetoune United States
Ling Zeng relative to Jeffrey A. Haspel United States Jeffrey A. Haspel's profile →
Citations per field
00.5×2.7×
Jeffrey A. Haspel · 1×
Citations per year

Countries citing papers authored by Ling Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Ling Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20253
5 20251
6 20240
7 20232
8 20233
9 20236
10 202247
11 202123
12 202177
13 202031
14 202094
15
20194
16 2019116
17 2019219
18 20198
19 201854
20 201740

About Ling Zeng

Ling Zeng is a scholar working on Immunology, Critical Care and Intensive Care Medicine, Epidemiology, Transplantation and Clinical Biochemistry, having authored 148 papers that have together received 4.3k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (34 papers), Immune Response and Inflammation (30 papers), Inflammasome and immune disorders (12 papers), Neonatal Respiratory Health Research (10 papers), Inflammation biomarkers and pathways (9 papers), Epigenetics and DNA Methylation (9 papers), Autophagy in Disease and Therapy (7 papers) and Immune cells in cancer (7 papers). The work is most often cited by research in Immunology (1.3k citations), Critical Care and Intensive Care Medicine (193 citations), Cancer Research (550 citations), Molecular Biology (2.1k citations) and Epidemiology (978 citations). Ling Zeng has collaborated with scholars based in China, United States and France. Frequent co-authors include Jianxin Jiang, Daolin Tang, Rui Kang, Timothy R. Billiar, Haichao Wang, Lizhi Cao, Shan Zhu, Guido Kroemer, Min Xie and Anqiang Zhang. Their work appears in journals such as Critical Care, Medicine, International Journal of Molecular Sciences, Frontiers in Genetics and Autophagy.

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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