Lijun Cheng

5.4k citations
66 papers · 1.6k indexed · h-index 18
Topics
Bioinformatics and Genomic Networks (14 papers)Computational Drug Discovery Methods (11 papers)Gene expression and cancer classification (9 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Lijun Cheng

63 papers receiving 1.6k citations

Peers

Lijun Cheng
Comparison fields: 5 of 134
  • Molecular Biology 1.1k
  • Genetics 315
  • Pulmonary and Respiratory Medicine 300
  • Cancer Research 284
  • Oncology 238
Replace Minji Jeon with:
Minji Jeon South Korea
Augustin Luna United States
Manor Askenazi United States
Atul Deshpande United States
Adam Coffman United States
Martina Kutmon Netherlands
John Erol Evangelista United States
Jay C. Strum United States
Constantin Georgescu United States
François Schiettecatte United States
Lijun Cheng relative to Minji Jeon South Korea Minji Jeon's profile →
Citations per field
00.5×5.1×
Minji Jeon · 1×
Citations per year

Countries citing papers authored by Lijun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Cheng. A scholar is included among the top collaborators of Lijun Cheng 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 Lijun Cheng. Lijun Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 8
4 8
5 36
6 15
7 21
8 1
9 16
10 13
11 11
12 11
13 11
14 11
15 59
16 50
17 123
18 86
19 16
20
Advances in molecular targeted drugs in the treatment of cervical cancer
1

About Lijun Cheng

Lijun Cheng is a scholar working on Computational Theory and Mathematics, Cancer Research and Toxicology, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (14 papers), Computational Drug Discovery Methods (11 papers) and Gene expression and cancer classification (9 papers). The work is most often cited by research in Biological Psychiatry (59 citations), Cancer Research (284 citations) and Aging (33 citations). Lijun Cheng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Chunyu Liu, Lang Li, Elliot S. Gershon, Chao Chen, Xiaoqi Liu, Judith A. Badner, Zhuangzhuang Zhang, Dandan Zhang, David W. Craig and Wei Luo. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

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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