Juan Tang

3.6k citations
128 papers · 2.5k indexed · 1 hit paper · h-index 27
Topics
Signaling Pathways in Disease (17 papers)Cell Adhesion Molecules Research (8 papers)Insect-Plant Interactions and Control (7 papers)
Journals
Journal of Biological ChemistryNature MedicineSHILAP Revista de lepidopterología

In The Last Decade

Juan Tang

110 papers receiving 2.5k citations

Hit Papers

New insights into the roles of CHOP-induced apoptosis in ...20142026201820222014100200300400

Peers

Juan Tang
Comparison fields: 5 of 132
  • Molecular Biology 1.3k
  • Immunology 611
  • Oncology 422
  • Cell Biology 385
  • Epidemiology 356
Replace Sara Teresinha Olalla Saad with:
Sara Teresinha Olalla Saad Brazil
Sohsuke Yamada Japan
Mi-Sung Kim South Korea
Suk‐Hwan Baek South Korea
Qingbo Xu Austria
Sandeep Kumar United States
Yuehai Ke China
Yu‐Jia Chang Taiwan
Xi Yuan Sweden
Kaoru Hazeki Japan
Juan Tang relative to Sara Teresinha Olalla Saad Brazil Sara Teresinha Olalla Saad's profile →
Citations per field
00.5×1.5×
Sara Teresinha Olalla Saad · 1×
Citations per year

Countries citing papers authored by Juan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Juan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Tang. A scholar is included among the top collaborators of Juan 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 Juan Tang. Juan 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 0
2 0
3 0
4 0
5 13
6 4
7 2
8 8
9 3
10 3
11 2
12 15
13 0
14 2
15 5
16 19
17 4
18 9
19 11
20
BetaIg-h3 is involved in the HAb18G/CD147-mediated metastasis process in human hepatoma cells.
35

About Juan Tang

Juan Tang is a scholar working on Immunology and Allergy, Immunology and Nephrology, having authored 128 papers that have together received 2.5k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (17 papers), Cell Adhesion Molecules Research (8 papers) and Insect-Plant Interactions and Control (7 papers). The work is most often cited by research in Immunology (611 citations), Cell Biology (385 citations) and Cancer Research (293 citations). Juan Tang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhi‐Nan Chen, Jian‐Li Jiang, Yunshan Guo, Yiming Li, Pu Zhao, Lijian Tao, Jian Zhang, Wallace Y. Langdon, Zhenyu Liu and Guoxin Lin. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and SHILAP Revista de lepidopterología.

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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