Tu Lan

69 papers receiving 1.5k citations

Peers

Tu Lan
Comparison fields: 5 of 104
  • Inorganic Chemistry 569
  • Industrial and Manufacturing Engineering 256
  • Geochemistry and Petrology 139
  • Radiological and Ultrasound Technology 59
  • Water Science and Technology 155
Replace Feize Li with:
Feize Li China
Shunzhong Luo China
P. Rajec Slovakia
Drew Gorman‐Lewis United States
Hanyu Wu China
Keliang Shi China
Anna Yu. Romanchuk Russia
Jae‐Il Kim South Korea
Jinru Lin China
José M. Cerrato United States
Tu Lan relative to Feize Li China Feize Li's profile →
Citations per field
00.5×1.7×
Feize Li · 1×
Citations per year

Countries citing papers authored by Tu Lan

Since Specialization
Citations

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

Fields of papers citing papers by Tu Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 201483
3 201874
4 202270
5 201967
6 201859
7 202357
8 201649
9 202148
10 202146
11 202044
12 202143
13 201643
14 201940
15 201735
16 202234
17 202333
18 201833
19 201432
20 202330

About Tu Lan

Tu Lan is a scholar working on Inorganic Chemistry, Materials Chemistry, Industrial and Manufacturing Engineering, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radioactive element chemistry and processing (37 papers), Chemical Synthesis and Characterization (16 papers), Radiopharmaceutical Chemistry and Applications (13 papers), Geochemistry and Elemental Analysis (10 papers), Peptidase Inhibition and Analysis (8 papers), Covalent Organic Framework Applications (6 papers), Radioactive contamination and transfer (6 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Inorganic Chemistry (569 citations), Industrial and Manufacturing Engineering (256 citations), Geochemistry and Petrology (139 citations), Radiological and Ultrasound Technology (59 citations) and Water Science and Technology (155 citations). Tu Lan has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Jiali Liao, Ning Liu, Yuanyou Yang, Feize Li, Hongbo Zeng, Tian Tang, Jijun Yang, Dongqi Wang, Zhifang Chai and Ning Liu. Their work appears in journals such as Journal of Environmental Radioactivity, Environmental Science & Technology, ACS Applied Materials & Interfaces, Separation and Purification Technology and Journal of Radioanalytical and Nuclear Chemistry.

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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