Ling Tang

623 total citations
16 papers, 488 citations indexed

About

Ling Tang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ling Tang has authored 16 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ling Tang's work include MicroRNA in disease regulation (7 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). Ling Tang is often cited by papers focused on MicroRNA in disease regulation (7 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). Ling Tang collaborates with scholars based in China and United States. Ling Tang's co-authors include Yebin Lu, Bo Yang, Yu Liu, Wei Wei, Yong‐An Zhang, Yang Liu, Pei Wu, Wu‐Neng Tang, Xiao‐Qiu Zhou and Lin Feng and has published in prestigious journals such as BioMed Research International, Journal of Cellular Biochemistry and Cell Death and Disease.

In The Last Decade

Ling Tang

15 papers receiving 480 citations

Peers

Ling Tang
Comparison fields: 5 of 75
  • Molecular Biology 308
  • Cancer Research 279
  • Immunology 95
  • Aquatic Science 61
  • Nutrition and Dietetics 42
Replace Lang Xie with:
Lang Xie China
Leo Feferman United States
Tongbao Feng China
Jieping Huang China
Gaurav Verma India
Liman Ma China
Jaya Prakash Golla United States
Keun Young Kim South Korea
Shuiqing Wu China
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Lang Xie China View profile →
Citations per field, relative to Ling Tang
Ling Tang · 1×
Citations per year, relative to Ling Tang
Ling Tang · 1×

Countries citing papers authored by Ling Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ling Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Tang

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 3
3 18
4 3
5 25
6 51
7 49
8 12
9 16
10 42
11 168
12 50
13 7
14
Physiological changes of leaf color of Acer buergerianum and mutant plants during color-changing period
1
15
Effects of simulated acid rain on related physiological indexes of leaf color of Japanese maple (Acer palmatum Thunb.) in autumn.
1
16 42

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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