Ivy Tan

2.4k total citations · 1 hit paper
33 papers, 1.3k citations indexed

About

Ivy Tan is a scholar working on Atmospheric Science, Global and Planetary Change and Education. According to data from OpenAlex, Ivy Tan has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 28 papers in Global and Planetary Change and 3 papers in Education. Recurrent topics in Ivy Tan's work include Atmospheric aerosols and clouds (24 papers), Atmospheric chemistry and aerosols (21 papers) and Climate variability and models (9 papers). Ivy Tan is often cited by papers focused on Atmospheric aerosols and clouds (24 papers), Atmospheric chemistry and aerosols (21 papers) and Climate variability and models (9 papers). Ivy Tan collaborates with scholars based in United States, Canada and Germany. Ivy Tan's co-authors include Trude Storelvmo, Mark D. Zelinka, Yong‐Sang Choi, Daniel T. McCoy, Shlomo Sharan, Dennis L. Hartmann, Joyce E. Penner, Ulrike Lohmann, Müge Kömürcü and Yuxing Yun and has published in prestigious journals such as Science, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Ivy Tan

30 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Observational constraints on mixed-phase clouds imply higher climate sensitivity

2016 352 citations Ivy Tan, Trude Storelvmo et al. Science profile →

Peers

Ivy Tan

AS

GPC

EP

EDUCA

AE

Nils Gunnar Kvamstø Norway

Carolyn E. Whitlock United States

Joakim Malm Sweden

José‐Marie Griffiths United States

J. S. Sawyer United Kingdom

Rémi Thiéblemont France

Ian Allison Australia

Wendy S. Gross United States

Timothy Eichler United States

Randy A. Peppler United States

Nils Gunnar Kvamstø Norway

Ivy Tan

803 ×0.7

AS

770 ×0.7

GPC

32 ×0.3

EP

10 ×0.2

EDUCA

14 ×0.3

AE

Citations per year, relative to Ivy Tan Ivy Tan (= 1×) peers Nils Gunnar Kvamstø

Countries citing papers authored by Ivy Tan

Since Specialization

Citations

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

Fields of papers citing papers by Ivy Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivy Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ivy Tan. A scholar is included among the top collaborators of Ivy Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivy Tan. Ivy Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhou, Chen, Ivy Tan, Lujun Zhang, et al.. (2025). Sea ice pattern effect on Earth’s energy budget is characterized by hemispheric asymmetry. Science Advances. 11(9). eadr4248–eadr4248.

2.

Kollias, Pavlos, et al.. (2025). Evaluation of the EarthCARE Cloud Profiling Radar (CPR) Doppler velocity measurements using surface-based observations. Atmospheric chemistry and physics. 25(21). 15389–15402.

3.

Tan, Ivy, et al.. (2025). Moderate climate sensitivity due to opposing mixed-phase cloud feedbacks. npj Climate and Atmospheric Science. 8(1). 86–86. 1 indexed citations

4.

Purwanto, Purwanto, et al.. (2024). Geo-Virtual Reality (GVR): The creative materials to construct spatial thinking skills using virtual learning based metaverse technology. Thinking Skills and Creativity. 54. 101664–101664. 1 indexed citations

5.

Tan, Ivy, Georgia Sotiropoulou, Patrick C. Taylor, Lauren Zamora, & Manfred Wendisch. (2023). A Review of the Factors Influencing Arctic Mixed‐Phase Clouds: Progress and Outlook. Geophysical monograph. 103–132. 8 indexed citations

6.

Coopman, Quentin & Ivy Tan. (2023). Characterization of the Spatial Distribution of the Thermodynamic Phase Within Mixed‐Phase Clouds Using Satellite Observations. Geophysical Research Letters. 50(24). 12 indexed citations

7.

McCoy, Daniel T., Paul R. Field, Mark D. Zelinka, et al.. (2022). Extratropical Shortwave Cloud Feedbacks in the Context of the Global Circulation and Hydrological Cycle. Geophysical Research Letters. 49(8). 13 indexed citations

8.

Sagoo, Navjit, Trude Storelvmo, Lily Hahn, et al.. (2021). Observationally Constrained Cloud Phase Unmasks Orbitally Driven Climate Feedbacks. Geophysical Research Letters. 48(6). 2 indexed citations

9.

Tan, Ivy, Georgia Sotiropoulou, Patrick C. Taylor, Lauren Zamora, & Manfred Wendisch. (2021). A Review of the Factors Influencing Arctic Mixed-Phase Clouds: Progress and Outlook. 1 indexed citations

10.

Taylor, Patrick, Robyn C. Boeke, Linette Boisvert, et al.. (2021). Process drivers, inter-model spread, and the path forward: A review of amplified Arctic warming. 3 indexed citations

11.

Lewis, Jasper R., et al.. (2020). Determining cloud thermodynamic phase from the polarized Micro Pulse Lidar. Atmospheric measurement techniques. 13(12). 6901–6913. 14 indexed citations

12.

Tan, Ivy, Lazaros Oreopoulos, & Nayeong Cho. (2019). The Role of Thermodynamic Phase Shifts in Cloud Optical Depth Variations With Temperature. Geophysical Research Letters. 46(8). 4502–4511. 22 indexed citations

13.

Tan, Ivy, Trude Storelvmo, & Mark D. Zelinka. (2016). Observational constraints on mixed-phase clouds imply higher climate sensitivity. Science. 352(6282). 224–227. 352 indexed citations breakdown →

14.

McCoy, Daniel T., Ivy Tan, Dennis L. Hartmann, Mark D. Zelinka, & Trude Storelvmo. (2016). On the relationships among cloud cover, mixed‐phase partitioning, and planetary albedo in GCMs. Journal of Advances in Modeling Earth Systems. 8(2). 650–668. 125 indexed citations

15.

Tan, Ivy & Trude Storelvmo. (2015). Sensitivity Study on the Influence of Cloud Microphysical Parameters on Mixed-Phase Cloud Thermodynamic Phase Partitioning in CAM5. Journal of the Atmospheric Sciences. 73(2). 709–728. 98 indexed citations

16.

Choi, Yong‐Sang, Chang‐Hoi Ho, Chang‐Eui Park, Trude Storelvmo, & Ivy Tan. (2014). Influence of cloud phase composition on climate feedbacks. Journal of Geophysical Research Atmospheres. 119(7). 3687–3700. 46 indexed citations

17.

Tan, Ivy, Trude Storelvmo, & Yong‐Sang Choi. (2014). Spaceborne lidar observations of the ice‐nucleating potential of dust, polluted dust, and smoke aerosols in mixed‐phase clouds. Journal of Geophysical Research Atmospheres. 119(11). 6653–6665. 73 indexed citations

18.

Kömürcü, Müge, Trude Storelvmo, Ivy Tan, et al.. (2014). Intercomparison of the cloud water phase among global climate models. Journal of Geophysical Research Atmospheres. 119(6). 3372–3400. 136 indexed citations

19.

Kömürcü, Müge, Ivy Tan, Ulrike Lohmann, et al.. (2013). Inter-comparison of the phase partitioning of cloud water among global climate models. AIP conference proceedings. 755–758. 1 indexed citations

20.

Tan, Ivy, et al.. (2009). The Utilization of Electronic Portfolios (ePortfolios) in the Development of Teacher-Leader Candidates. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2009(1). 2965–2969. 1 indexed citations

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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