Hangzhen Lan

48 papers receiving 863 citations

Peers

Hangzhen Lan
Comparison fields: 5 of 93
  • Analytical Chemistry 344
  • Electrochemistry 74
  • Health, Toxicology and Mutagenesis 160
  • Spectroscopy 188
  • Bioengineering 53
Replace Christina S. Bottaro with:
Christina S. Bottaro Canada
M. V. Suryanarayana India
Rafael Arromba de Sousa Brazil
Badredine Souhail Morocco
Thomas C. Yang Taiwan
Hamed Piri‐Moghadam Iran
Andrés J. Rascón Spain
H. Alwael Saudi Arabia
M.P. Aguilar-Caballos Spain
Qamar Subhani China
Hangzhen Lan relative to Christina S. Bottaro Canada Christina S. Bottaro's profile →
Citations per field
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Christina S. Bottaro · 1×
Citations per year

Countries citing papers authored by Hangzhen Lan

Since Specialization
Citations

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

Fields of papers citing papers by Hangzhen Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014109
2 201478
3 201676
4 201470
5 202059
6 201654
7 201947
8 201842
9 201430
10 202424
11 201920
12 201919
13 202118
14 202217
15 202317
16 202216
17 201914
18 202214
19 202212
20 202312

About Hangzhen Lan

Hangzhen Lan is a scholar working on Molecular Biology, Analytical Chemistry, Biomedical Engineering, Health, Toxicology and Mutagenesis and Food Science, having authored 51 papers that have together received 874 indexed citations. Recurring topics across this work include Analytical chemistry methods development (19 papers), Advanced Chemical Sensor Technologies (13 papers), Identification and Quantification in Food (12 papers), Analytical Chemistry and Chromatography (8 papers), Biosensors and Analytical Detection (6 papers), Mass Spectrometry Techniques and Applications (5 papers), Mercury impact and mitigation studies (5 papers) and Probiotics and Fermented Foods (4 papers). The work is most often cited by research in Analytical Chemistry (344 citations), Electrochemistry (74 citations), Health, Toxicology and Mutagenesis (160 citations), Spectroscopy (188 citations) and Bioengineering (53 citations). Hangzhen Lan has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Daodong Pan, Marja‐Liisa Riekkola, Kari Hartonen, Yangying Sun, Ning Gan, Tianhua Li, Futao Hu, Yuanyuan Gu, Huiju Gao and Nengbing Long. Their work appears in journals such as Journal of Chromatography A, Journal of Food Composition and Analysis, Microchimica Acta, Foods and Analytica Chimica Acta.

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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