Quran Wu

536 citations
20 papers · 229 · h-index 9

Impact in

  • Oceanography top 10%
    • Oceanographic and Atmospheric Processes
    • Marine and coastal ecosystems
    • Geophysics and Gravity Measurements
    • Climate variability and models
    • Atmospheric and Environmental Gas Dynamics

Papers in

    • Oceanographic and Atmospheric Processes 11
    • Marine and coastal ecosystems 5
    • Geophysics and Gravity Measurements 2
    • Climate variability and models 11
    • Atmospheric and Environmental Gas Dynamics 1

Quran Wu

18 papers receiving 226 citations

Peers

Quran Wu
Comparison fields: 5 of 39
  • Oceanography 143
  • Global and Planetary Change 135
  • Atmospheric Science 58
  • Critical Care and Intensive Care Medicine 10
  • Nephrology 11
Replace Kohei Cho with:
Kohei Cho Japan
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Miki Hattori Japan
Heather Regan Norway
Jan‐Hendrik Malles Germany
P Leborgne France
Jili Dong United States
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Clara Burgard France
Quran Wu relative to Kohei Cho Japan Kohei Cho's profile →
Citations per field
00.5×3.7×
Kohei Cho · 1×
Citations per year

Countries citing papers authored by Quran Wu

Since Specialization
Citations

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

Fields of papers citing papers by Quran Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202040
2 201732
3 202029
4 201920
5 201719
6 202013
7 201913
8 201813
9 202210
10 20238
11 20226
12 20226
13 20226
14 20215
15 20224
16 20203
17 20221
18 20251
19 20230
20 20180

About Quran Wu

Quran Wu is a scholar working on Oceanography, Global and Planetary Change, Atmospheric Science, Epidemiology and Molecular Biology, having authored 20 papers that have together received 229 indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (11 papers), Climate variability and models (11 papers), Marine and coastal ecosystems (5 papers), Geophysics and Gravity Measurements (2 papers), Meteorological Phenomena and Simulations (2 papers), Atmospheric and Environmental Gas Dynamics (1 paper), Clusterin in disease pathology (1 paper) and Arctic and Antarctic ice dynamics (1 paper). The work is most often cited by research in Oceanography (143 citations), Global and Planetary Change (135 citations), Atmospheric Science (58 citations), Critical Care and Intensive Care Medicine (10 citations) and Nephrology (11 citations). Quran Wu has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Xuebin Zhang, John Church, Kewei Lyu, Jianyu Hu, Jonathan M. Gregory, Denise Fernández, Melissa Bowen, Philip Sutton, Jordan J. Markham and Philip A. Efron. Their work appears in journals such as Journal of Climate, Climate Dynamics, Journal of Advances in Modeling Earth Systems, Critical Care and The Journal of Trauma: Injury, Infection, and Critical Care.

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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