Lin Tang

1.7k total citations · 1 hit paper
51 papers, 1.1k citations indexed

About

Lin Tang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Lin Tang has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Cancer Research. Recurrent topics in Lin Tang's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Acute Myeloid Leukemia Research (4 papers). Lin Tang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Acute Myeloid Leukemia Research (4 papers). Lin Tang collaborates with scholars based in China, United States and United Kingdom. Lin Tang's co-authors include Xiaowei Zhang, Zhaohui Gu, Jian‐Qing Mi, Xiaojing Yan, Jie Xu, Wenxue Liang, Chun‐Ming Pan, Keqin Li, Jingyi Shi and Gang Lü and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Lin Tang

43 papers receiving 1.1k citations

Hit Papers

Exome sequencing identifies somatic mutations of DNA meth... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers

Lin Tang
Comparison fields: 5 of 94
  • Molecular Biology 753
  • Hematology 423
  • Cancer Research 255
  • Genetics 152
  • Genetics 93
Replace M. Ueda with:
M. Ueda Japan
Matthew H. Bailey United States
Cecilia Evangelisti Italy
Steven Messina‐Graham United States
Mariska G. Rondaij Netherlands
Astrid Kragt Netherlands
Patrycja M. Dubielecka United States
Yang Mei China
Gijsbert van Willigen Netherlands
M. Ueda Japan View profile →
Citations per field, relative to Lin Tang
Lin Tang · 1×
Citations per year, relative to Lin Tang
Lin Tang · 1×

Countries citing papers authored by Lin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Tang. A scholar is included among the top collaborators of Lin Tang 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 Lin Tang. Lin Tang 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
# Work Indexed citations
1 2
2 0
3 1
4 1
5 0
6 1
7 1
8 1
9 1
10 5
11 5
12 1
13 1
14 15
15 8
16
LncRNA NR2F2-AS1 Silencing Induces Cell Cycle Arrest in G0/G1 Phase via Downregulating Cyclin D1 in Colorectal Cancer
1
17 1
18 5
19 32
20 84

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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