X. Tie

2.0k citations
21 papers · 363 · h-index 9

Impact in

Papers in

X. Tie

16 papers receiving 352 citations

Peers

X. Tie
Comparison fields: 5 of 41
  • Atmospheric Science 320
  • Global and Planetary Change 230
  • Health, Toxicology and Mutagenesis 116
  • Environmental Engineering 34
  • Nephrology 16
Replace Olga Poulida with:
Olga Poulida Switzerland
I. Zyrichidou Greece
H. Huntrieser Germany
F. Alkemade Netherlands
B. Josse France
Juseon Bak South Korea
Antje Ludewig Netherlands
M. Roja Raman India
Christian Borger Germany
H. Barjat United Kingdom
X. Tie relative to Olga Poulida Switzerland Olga Poulida's profile →
Citations per field
00.5×12×
Olga Poulida · 1×
Citations per year

Countries citing papers authored by X. Tie

Since Specialization
Citations

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

Fields of papers citing papers by X. Tie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008108
2 200864
3 200546
4 199934
5 200932
6 200232
7 202414
8 200613
9 20118
10 20243
11
Sensitivity of Chemical Budgets to Meteorology in MOZART-4
20062
12 20252
13 20232
14
Characterization of actinic flux and irradiances over Guangzhou region
20101
15 20251
16 20241
17 20250
18
The Budget of Tropospheric Ozone During TOPSE
20010
19 20250
20
Tracking of Pollution Plumes Using MOPITT Measurements
20040

About X. Tie

X. Tie is a scholar working on Atmospheric Science, Global and Planetary Change, Infectious Diseases, Molecular Biology and Epidemiology, having authored 21 papers that have together received 363 indexed citations. Recurring topics across this work include Atmospheric Ozone and Climate (11 papers), Atmospheric chemistry and aerosols (8 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Atmospheric aerosols and clouds (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Respiratory viral infections research (2 papers), Infection Control and Ventilation (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Atmospheric Science (320 citations), Global and Planetary Change (230 citations), Health, Toxicology and Mutagenesis (116 citations), Environmental Engineering (34 citations) and Nephrology (16 citations). X. Tie has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guy Brasseur, Martin Riese, Dui Wu, Xuhui Zhou, Xiaodong Huang, H H Tan, Xiaoying Bi, Tao Deng, Fei Li and Zhong Liang. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Atmospheric chemistry and physics, Computational and Structural Biotechnology Journal, Frontiers in Microbiology and International Journal of Pharmaceutics.

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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