Jingshu Meng

1.2k citations
17 papers · 833 indexed · 1 hit paper · h-index 13
Topics
Extracellular vesicles in disease (4 papers)MicroRNA in disease regulation (3 papers)Immune cells in cancer (3 papers)
Partner nations
ChinaUnited States

In The Last Decade

Jingshu Meng

17 papers receiving 827 citations

Hit Papers

Ferroptosis‐Enhanced Immunotherapy with an Injectable Dex...20232026202420252023204060

Peers

Jingshu Meng
Comparison fields: 5 of 82
  • Molecular Biology 444
  • Immunology 244
  • Oncology 238
  • Cancer Research 215
  • Pulmonary and Respiratory Medicine 186
Replace Lanlan Hui with:
Lanlan Hui China
Edwardine Labay United States
Kristina Stumpf United States
Michael P. Plebanek United States
Shengyun Hu China
Shan M. Chin United States
Yoonjeong Choi South Korea
Eunsung Jun South Korea
Shelly Maman Israel
Guoqing Ru China
Jingshu Meng relative to Lanlan Hui China Lanlan Hui's profile →
Citations per field
00.5×4.8×
Lanlan Hui · 1×
Citations per year

Countries citing papers authored by Jingshu Meng

Since Specialization
Citations

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

Fields of papers citing papers by Jingshu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingshu Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Jingshu Meng. A scholar is included among the top collaborators of Jingshu Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingshu Meng. Jingshu Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 14
2 11
3 23
4 2
5 2
6
Ferroptosis‐Enhanced Immunotherapy with an Injectable Dextran‐Chitosan Hydrogel for the Treatment of Malignant Ascites in Hepatocellular Carcinomabreakdown →
71
7 12
8 81
9 54
10 189
11 76
12 195
13 23
14 11
15 20
16 37
17 12

About Jingshu Meng

Jingshu Meng is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 17 papers that have together received 833 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Cancer Research (215 citations), Immunology (244 citations) and Oncology (238 citations). Jingshu Meng has collaborated with scholars based in China and United States. Frequent co-authors include Kunyu Yang, Honglin Jin, Chao Wan, Yajie Sun, Jonathan F. Lovell, Xiaomeng Dai, Gang Wu, Lisen Lu, Jing Huang and Yan Hu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Science Advances and International Journal of Radiation Oncology*Biology*Physics.

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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