Dan Tang

3.7k citations
130 papers · 3.0k · h-index 29

Impact in

Papers in

Dan Tang

125 papers receiving 3.0k citations

Peers

Dan Tang
Comparison fields: 5 of 135
  • Biochemistry 164
  • Complementary and alternative medicine 197
  • Hepatology 149
  • Molecular Biology 1.4k
  • Cancer Research 251
Replace Suryakant K. Niture with:
Suryakant K. Niture United States
Ji Hye Yang South Korea
Il Je Cho South Korea
Young Woo Kim South Korea
Yuan Zhou China
Yunxia Li China
Jinping Liu China
Markus Tiedge Germany
Cuili Zhang China
Lei Chen China
Dan Tang relative to Suryakant K. Niture United States Suryakant K. Niture's profile →
Citations per field
00.5×1.5×1.9×
Suryakant K. Niture · 1×
Citations per year

Countries citing papers authored by Dan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Tang Line = papers co-authored together Dan Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004307
2 2005150
3 2018136
4 2006131
5 2008116
6 201575
7 200766
8 202164
9 201161
10 201053
11 202050
12 200249
13 200747
14 201942
15 202142
16 201941
17 202240
18 202140
19 201937
20 201937

About Dan Tang

Dan Tang is a scholar working on Aquatic Science, Molecular Biology, Complementary and alternative medicine, Immunology and Pathology and Forensic Medicine, having authored 130 papers that have together received 3.0k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (14 papers), Invertebrate Immune Response Mechanisms (11 papers), Aquaculture Nutrition and Growth (11 papers), Traditional Chinese Medicine Analysis (10 papers), Crustacean biology and ecology (8 papers), Phytochemistry and Biological Activities (7 papers), Genomics and Phylogenetic Studies (7 papers) and Aquaculture disease management and microbiota (7 papers). The work is most often cited by research in Biochemistry (164 citations), Complementary and alternative medicine (197 citations), Hepatology (149 citations), Molecular Biology (1.4k citations) and Cancer Research (251 citations). Dan Tang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Hui‐Jun Li, Zhengfei Wang, Massimo F. Loda, Johann Zimmermann, Quan Zhu, Weifeng Yu, Ping Li, Youhua Xu, Zhengming Qian and Mary Ann Stevenson. Their work appears in journals such as Journal of Ethnopharmacology, Genomics, Acta Biochimica et Biophysica Sinica, Phytomedicine and Chromatographia.

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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