Ting Tang

3.1k citations
55 papers · 2.1k indexed · 2 hit papers · h-index 17
Topics
Immune Cell Function and Interaction (7 papers)Cancer-related molecular mechanisms research (6 papers)T-cell and B-cell Immunology (6 papers)

In The Last Decade

Ting Tang

51 papers receiving 2.1k citations

Hit Papers

The E-Cadherin and N-Cadherin Switch in Epithelial-to-Mes...201920262021202320192020250500750

Peers

Ting Tang
Comparison fields: 5 of 116
  • Molecular Biology 1.3k
  • Cancer Research 750
  • Oncology 360
  • Immunology 296
  • Pulmonary and Respiratory Medicine 168
Replace Shufang Liang with:
Shufang Liang China
Zhenyi Su China
Yiqing Yang China
Jide Wang China
Suntaek Hong South Korea
Liwei Dong China
Shuang Liu China
Jim Jinn‐Chyuan Sheu Taiwan
Marcela Gronda Canada
Ting Tang relative to Shufang Liang China Shufang Liang's profile →
Citations per field
00.5×1.5×
Shufang Liang · 1×
Citations per year

Countries citing papers authored by Ting Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Tang. A scholar is included among the top collaborators of Ting 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 Ting Tang. Ting 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
#WorkIndexed citations
1 5
2 0
3 3
4 0
5 2
6 3
7 52
8 6
9 64
10 2
11 3
12 27
13 7
14 51
15 106
16
Cloning and functional analysis of C-type lectin from Musca domestica (Diptera: Muscidae).
1
17
Gene cloning, expression profiling and anti-microbial assay of Muscin, a new antimicrobial peptide in the housefly (Musca domestica).
1
18
Cloning, prokaryotic expression and activity detection of the metallothionein gene in Musca domestica (Diptera: Muscidae).
2
19 8
20 32

About Ting Tang

Ting Tang is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Cancer-related molecular mechanisms research (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Cancer Research (750 citations), Molecular Biology (1.3k citations) and Immunology (296 citations). Ting Tang has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Won Fen Wong, Chung Yeng Looi, Pei Pei Chong, Muthu K. Shanmugam, Gautam Sethi, Jian Chai, Yong Li, Wei Xiong, Can Guo and Fang Xiong. Their work appears in journals such as Scientific Reports, Frontiers in Immunology and Molecules.

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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