M. Mu

9.0k total citations · 3 hit papers
29 papers, 5.7k citations indexed

About

M. Mu is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, M. Mu has authored 29 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 9 papers in Oceanography. Recurrent topics in M. Mu's work include Climate variability and models (18 papers), Atmospheric and Environmental Gas Dynamics (10 papers) and Oceanographic and Atmospheric Processes (8 papers). M. Mu is often cited by papers focused on Climate variability and models (18 papers), Atmospheric and Environmental Gas Dynamics (10 papers) and Oceanographic and Atmospheric Processes (8 papers). M. Mu collaborates with scholars based in United States, China and United Kingdom. M. Mu's co-authors include James T. Randerson, Douglas C. Morton, P. S. Kasibhatla, Guido R. van der Werf, Louis Giglio, G. J. Collatz, T. T. van Leeuwen, Ruth DeFries, Yufang Jin and Guang J. Zhang and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

M. Mu

25 papers receiving 5.5k citations

Hit Papers

Global fire emissions and the contribution of deforestati... 2010 2026 2015 2020 2010 2017 2014 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Mu United States 18 4.6k 3.5k 861 597 409 29 5.7k
Silvia Kloster Germany 29 3.9k 0.8× 2.9k 0.8× 552 0.6× 450 0.8× 104 0.3× 48 4.5k
Brendan M. Rogers United States 33 5.2k 1.1× 3.1k 0.9× 1.5k 1.7× 376 0.6× 276 0.7× 106 6.3k
Ninglian Wang China 36 1.7k 0.4× 3.3k 1.0× 759 0.9× 386 0.6× 228 0.6× 253 4.9k
T. T. van Leeuwen Netherlands 14 3.6k 0.8× 2.7k 0.8× 591 0.7× 589 1.0× 70 0.2× 19 4.2k
Gitta Lasslop Germany 27 4.0k 0.9× 1.4k 0.4× 1.2k 1.4× 161 0.3× 300 0.7× 48 4.6k
Gonzalo Miguez‐Macho Spain 35 3.6k 0.8× 2.1k 0.6× 577 0.7× 104 0.2× 412 1.0× 87 5.5k
Niels Andela United States 22 3.6k 0.8× 1.2k 0.3× 1.2k 1.4× 135 0.2× 252 0.6× 40 4.2k
Evan S. Kane United States 30 1.5k 0.3× 1.3k 0.4× 1.7k 2.0× 201 0.3× 392 1.0× 97 3.2k
Sergey Venevsky China 18 3.2k 0.7× 2.1k 0.6× 1.5k 1.7× 90 0.2× 353 0.9× 35 5.1k

Countries citing papers authored by M. Mu

Since Specialization
Citations

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

Fields of papers citing papers by M. Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Mu

This figure shows the co-authorship network connecting the top 25 collaborators of M. Mu. A scholar is included among the top collaborators of M. Mu 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 M. Mu. M. Mu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Randerson, James T., Yue Li, Weiwei Fu, et al.. (2025). The weak land carbon sink hypothesis. Science Advances. 11(37). eadr5489–eadr5489.
2.
Werf, Guido R. van der, James T. Randerson, Dave van Wees, et al.. (2025). Landscape fire emissions from the 5th version of the Global Fire Emissions Database (GFED5). Scientific Data. 12(1). 1870–1870.
3.
Li, Weiping, et al.. (2023). Spatial and temporal variations of gross primary production simulated by land surface model BCC_AVIM2.0. Advances in Climate Change Research. 14(2). 286–299. 6 indexed citations
4.
Collier, Nathan, Forrest M. Hoffman, David M. Lawrence, et al.. (2018). The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation. Journal of Advances in Modeling Earth Systems. 10(11). 2731–2754. 202 indexed citations
5.
Werf, Guido R. van der, James T. Randerson, Louis Giglio, et al.. (2017). Global fire emissions estimates during 1997–2016. Earth system science data. 9(2). 697–720. 1447 indexed citations breakdown →
6.
Mu, M., James T. Randerson, W. J. Riley, & Forrest M. Hoffman. (2016). International land Model Benchmarking (ILAMB) Package v001.00. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
7.
Carvalhais, Nuno, Matthias Forkel, Myroslava Khomik, et al.. (2014). Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature. 514(7521). 213–217. 673 indexed citations breakdown →
8.
Keppel‐Aleks, G., Aaron S. Wolf, M. Mu, et al.. (2014). Separating the influence of temperature, drought, and fire on interannual variability in atmospheric CO 2. Global Biogeochemical Cycles. 28(11). 1295–1310. 32 indexed citations
9.
Yu, Yang, et al.. (2012). Contribution of the location and spatial pattern of initial error to uncertainties in El Nino predictions. EGU General Assembly Conference Abstracts. 203. 1 indexed citations
10.
Werf, Guido R. van der, James T. Randerson, Louis Giglio, et al.. (2010). Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009). Atmospheric chemistry and physics. 10(23). 11707–11735. 2143 indexed citations breakdown →
11.
Werf, Guido R. van der, James T. Randerson, Louis Giglio, et al.. (2010). Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009). 71 indexed citations
12.
Mu, M. & Guang J. Zhang. (2008). Energetics of Madden Julian Oscillations in the NCAR CAM3: A Composite View. Journal of Geophysical Research Atmospheres. 113(D5). 13 indexed citations
13.
Mu, M. & Guang J. Zhang. (2006). Energetics of Madden‐Julian oscillations in the National Center for Atmospheric Research Community Atmosphere Model version 3 (NCAR CAM3). Journal of Geophysical Research Atmospheres. 111(D24). 13 indexed citations
14.
Zhang, Guang J. & M. Mu. (2005). Simulation of the Madden–Julian Oscillation in the NCAR CCM3 Using a Revised Zhang–McFarlane Convection Parameterization Scheme. Journal of Climate. 18(19). 4046–4064. 132 indexed citations
15.
Chongyin, Li, M. Mu, & Zhenxia Long. (2003). Influence of intraseasonal oscillation on east-asian summer monsoon. 17. 130–142.
16.
Mu, M., et al.. (2002). Predictability Problems In Numerical Weather and Climate Prediction. EGS General Assembly Conference Abstracts. 2692. 2 indexed citations
17.
Chongyin, Li & M. Mu. (2001). The Influence of the Indian Ocean Dipole on Atmospheric Circulation and Climate. Advances in Atmospheric Sciences. 18(5). 831–843. 80 indexed citations
18.
Chongyin, Li, et al.. (2001). Origin of the Tbo-Interaction between anomalous east-Asian winter monsoon and enso cycle. Advances in Atmospheric Sciences. 18(4). 554–566. 36 indexed citations
19.
Li, Chongyin & M. Mu. (2000). Relationship between East Asian winter monsoon, warm pool situation and ENSO cycle. Chinese Science Bulletin. 45(16). 1448–1455. 34 indexed citations
20.
Chongyin, Li, M. Mu, & Guangqing Zhou. (1999). The variation of warm pool in the equatorial western pacific and its impacts on climate. Advances in Atmospheric Sciences. 16(3). 378–394. 12 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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