Ni Tan

40 papers receiving 552 citations

Peers

Ni Tan
Comparison fields: 5 of 78
  • Analytical Chemistry 137
  • Inorganic Chemistry 193
  • Geochemistry and Petrology 62
  • Industrial and Manufacturing Engineering 73
  • Pharmacology 82
Replace Ahmad Mukhtar Khalid with:
Ahmad Mukhtar Khalid Pakistan
A.M. Khalid Pakistan
D. Srinivasa Reddy India
Javad Fasihi Iran
Liya Cao China
Chunyan Yang China
Esra Bağda Türkiye
Ammar Maryamabadi Iran
Stéphanie Boudesocque France
Ni Tan relative to Ahmad Mukhtar Khalid Pakistan Ahmad Mukhtar Khalid's profile →
Citations per field
00.5×1.5×2.2×
Ahmad Mukhtar Khalid · 1×
Citations per year

Countries citing papers authored by Ni Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ni Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ni Tan, 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 Ni Tan Line = papers co-authored together Ni Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200861
2 201146
3 202142
4 201342
5 201932
6 201529
7 201525
8 201424
9 201322
10 201322
11 200820
12 201917
13 202017
14 202015
15 200814
16 201813
17 201913
18 20189
19 20159
20
A Nomogram for Predicting In-Stent Restenosis Risk in Patients Undergoing Percutaneous Coronary Intervention: A Population-Based Analysis
20228

About Ni Tan

Ni Tan is a scholar working on Inorganic Chemistry, Analytical Chemistry, Geochemistry and Petrology, Pharmacology and Surgery, having authored 43 papers that have together received 559 indexed citations. Recurring topics across this work include Radioactive element chemistry and processing (14 papers), Analytical chemistry methods development (13 papers), Geochemistry and Elemental Analysis (8 papers), Microbial Natural Products and Biosynthesis (5 papers), Adsorption and biosorption for pollutant removal (4 papers), Silymarin and Mushroom Poisoning (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Extraction and Separation Processes (3 papers). The work is most often cited by research in Analytical Chemistry (137 citations), Inorganic Chemistry (193 citations), Geochemistry and Petrology (62 citations), Industrial and Manufacturing Engineering (73 citations) and Pharmacology (82 citations). Ni Tan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Sen Liao, Zhigang She, Shengyuan Yang, Xueming Yan, Kang Ji, Yongcheng Lin, Yaqing Liu, Can Chen, Man Sun and Yiwen Tao. Their work appears in journals such as Journal of Radioanalytical and Nuclear Chemistry, Environmental Science and Pollution Research, Infection and Drug Resistance, Reactive and Functional Polymers and Chinese Journal of Natural Medicines.

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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