Lin Cheng

5.4k citations
77 papers · 3.6k · 2 hit papers · h-index 25

Impact in

Papers in

Lin Cheng

71 papers receiving 3.6k citations

Lin Cheng's Hit Papers

Neutrophils in cancer carcinogenesis and metastasis 2021 · 374 citations
3740+4+8Years since publication200400600

Peers

Lin Cheng
Comparison fields: 5 of 114
  • Genetics 690
  • Developmental Neuroscience 226
  • Cancer Research 683
  • Oncology 921
  • Aging 49
Replace Giuseppe Lamorte with:
Giuseppe Lamorte Italy
Lionel M.L. Chow United States
Ralf Lesche Germany
Giorgio Malpeli Italy
Philippe M. Campeau Canada
Gerald C. Chu United States
Jong Wook Chang South Korea
Erik J. Uhlmann United States
Timothy J. Nelson United States
Avelina Tortosa Spain
Lin Cheng relative to Giuseppe Lamorte Italy Giuseppe Lamorte's profile →
Citations per field
00.5×7.9×
Giuseppe Lamorte · 1×
Citations per year

Countries citing papers authored by Lin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Glioblastoma Stem Cells Generate Vascular Pericytes to Support Vessel Function and Tumor Growth
Hit paper breakdown →
2013671
2
Neutrophils in cancer carcinogenesis and metastasis
Hit paper breakdown →
2021374
3 2011206
4 2014200
5 2010183
6 2017169
7 2010164
8 2011159
9 2011137
10 2011134
11 202290
12 202385
13 201664
14 202353
15 201052
16 202052
17 201649
18 201046
19 201546
20 201939

About Lin Cheng

Lin Cheng is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Oncology and Genetics, having authored 77 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), Thyroid Cancer Diagnosis and Treatment (13 papers), RNA Interference and Gene Delivery (7 papers), Glioma Diagnosis and Treatment (7 papers), Cancer Cells and Metastasis (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), CRISPR and Genetic Engineering (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Genetics (690 citations), Developmental Neuroscience (226 citations), Cancer Research (683 citations), Oncology (921 citations) and Aging (49 citations). Lin Cheng has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Shideng Bao, Jeremy N. Rich, Zhi Huang, Shu-Min Xiong, Qiulian Wu, Olga A. Guryanova, Yuewen Tang, Min Wang, Pei Yu and Justin D. Lathia. Their work appears in journals such as Protein & Cell, Annals of Plastic Surgery, Blood, The Journals of Gerontology Series A and Journal of Hematology & Oncology.

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.

Explore authors with similar magnitude of impact