Ling Tang

3.1k total citations
90 papers, 2.5k citations indexed

About

Ling Tang is a scholar working on Immunology, Aquatic Science and Molecular Biology. According to data from OpenAlex, Ling Tang has authored 90 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Immunology, 47 papers in Aquatic Science and 19 papers in Molecular Biology. Recurrent topics in Ling Tang's work include Aquaculture disease management and microbiota (59 papers), Aquaculture Nutrition and Growth (47 papers) and Invertebrate Immune Response Mechanisms (11 papers). Ling Tang is often cited by papers focused on Aquaculture disease management and microbiota (59 papers), Aquaculture Nutrition and Growth (47 papers) and Invertebrate Immune Response Mechanisms (11 papers). Ling Tang collaborates with scholars based in China, Thailand and United States. Ling Tang's co-authors include Xiao‐Qiu Zhou, Wei‐Dan Jiang, Sheng‐Yao Kuang, Lin Feng, Pei Wu, Jun Jiang, Yong‐An Zhang, Wu‐Neng Tang, Yang Liu and Yang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Ling Tang

88 papers receiving 2.5k citations

Peers

Ling Tang
Comparison fields: 5 of 109
  • Immunology 1.4k
  • Aquatic Science 1.4k
  • Molecular Biology 525
  • Plant Science 306
  • Nutrition and Dietetics 304
Replace Jun Jiang with:
Jun Jiang China
Hong Ji China
Jin Niu China
Peng Yin China
Guangzhen Jiang China
Kangle Lu China
Wu‐Neng Tang China
Junyan Jin China
Huijun Yang China
Qunlan Zhou China
Jun Jiang 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

20 of 20 papers shown
# Work Indexed citations
1 1
2 13
3 6
4 17
5 22
6 17
7 21
8 11
9
Neuroprotective effect of emodin on acute brain injury in sepsis mice
2
10 26
11 39
12 40
13 31
14 22
15 44
16 102
17 46
18 16
19
The Effect of Different Proportions of Organic Zinc and Inorganic Zinc on Growth Performance of Weaning Pigs
1
20
The Effect of Zinc Amino Acid Chelate on the Performance of Weaning Pigs
2

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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