Lubna Dada

7.2k citations
52 papers · 911 indexed · h-index 19

Impact in

Papers in

Lubna Dada

48 papers receiving 904 citations

Peers

Lubna Dada
Comparison fields: 5 of 60
  • Atmospheric Science 773
  • Health, Toxicology and Mutagenesis 511
  • Global and Planetary Change 483
  • Environmental Engineering 227
  • Automotive Engineering 66
Replace M. Navazo with:
M. Navazo Spain
Xinghong Cheng China
Daeok Youn South Korea
Chune Shi China
Zhaoyue Meng United States
Lu Hu United States
Xiaolin Wei China
A. R. Metcalf United States
Andreas Hilboll Germany
Kevin P. Rhoads United States
Lubna Dada relative to M. Navazo Spain M. Navazo's profile →
Citations per field
00.5×8.8×
M. Navazo · 1×
Citations per year

Countries citing papers authored by Lubna Dada

Since Specialization
Citations

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

Fields of papers citing papers by Lubna Dada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20241
5 20241
6 20249
7 20229
8 20225
9 202211
10 20229
11 202218
12 202227
13 202125
14 202123
15 20211
16 20212
17 202031
18 202043
19 20202
20 201774

About Lubna Dada

Lubna Dada is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Global and Planetary Change, Environmental Engineering and Automotive Engineering, having authored 52 papers that have together received 911 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (48 papers), Air Quality and Health Impacts (35 papers), Atmospheric aerosols and clouds (28 papers), Atmospheric Ozone and Climate (12 papers), Air Quality Monitoring and Forecasting (11 papers), Vehicle emissions and performance (3 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Marine and coastal ecosystems (2 papers). The work is most often cited by research in Atmospheric Science (773 citations), Health, Toxicology and Mutagenesis (511 citations), Global and Planetary Change (483 citations), Environmental Engineering (227 citations) and Automotive Engineering (66 citations). Lubna Dada has collaborated with scholars based in Finland, Switzerland and China. Frequent co-authors include Tuukka Petäjä, Markku Kulmala, Veli‐Matti Kerminen, Katrianne Lehtipalo, Tareq Hussein, Chao Yan, Pauli Paasonen, Juha Kangasluoma, Ying Zhou and Jenni Kontkanen. Their work appears in journals such as Atmospheric chemistry and physics, Journal of Aerosol Science, Environmental Science Atmospheres, Atmosphere and Atmospheric measurement techniques.

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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