Gang Mo

1.3k total citations
19 papers, 716 citations indexed

About

Gang Mo is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Gang Mo has authored 19 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 5 papers in Atmospheric Science and 4 papers in Ecology. Recurrent topics in Gang Mo's work include Atmospheric and Environmental Gas Dynamics (13 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Climate variability and models (8 papers). Gang Mo is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (13 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Climate variability and models (8 papers). Gang Mo collaborates with scholars based in Canada, China and United States. Gang Mo's co-authors include Jane Liu, Jing M. Chen, Douglas Chan, Feng Deng, Misa Ishizawa, Jan Písek, Jing M. Chen, Liming He, Joanna Joiner and T. Andrew Black and has published in prestigious journals such as Geophysical Research Letters, Global Biogeochemical Cycles and Climatic Change.

In The Last Decade

Gang Mo

18 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Mo Canada 11 637 328 188 157 129 19 716
Brett Raczka United States 10 721 1.1× 394 1.2× 175 0.9× 81 0.5× 171 1.3× 22 825
Blandine Caquet France 7 436 0.7× 468 1.4× 97 0.5× 214 1.4× 118 0.9× 7 670
Manuela Balzarolo Belgium 15 532 0.8× 423 1.3× 144 0.8× 166 1.1× 166 1.3× 35 728
Xiaoliang Lü China 11 429 0.7× 296 0.9× 100 0.5× 110 0.7× 79 0.6× 18 568
Yen-Ben Cheng United States 15 535 0.8× 683 2.1× 185 1.0× 301 1.9× 103 0.8× 31 801
Xianming Dou China 10 353 0.6× 184 0.6× 62 0.3× 144 0.9× 74 0.6× 10 460
Xinyao Xie China 14 389 0.6× 322 1.0× 87 0.5× 109 0.7× 76 0.6× 30 531
V. D. Cordova United States 5 898 1.4× 852 2.6× 89 0.5× 354 2.3× 102 0.8× 6 1.1k
Margarita Huesca Spain 15 316 0.5× 367 1.1× 73 0.4× 193 1.2× 72 0.6× 39 538
Robert Clement United Kingdom 15 845 1.3× 222 0.7× 235 1.3× 104 0.7× 308 2.4× 21 968

Countries citing papers authored by Gang Mo

Since Specialization
Citations

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

Fields of papers citing papers by Gang Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Mo

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

All Works

19 of 19 papers shown
1.
Wang, Hongmei, Chunyan Fu, Kewei Yu, et al.. (2025). Enhancing antioxidant capacity and modulating sensory traits by nano‑selenium foliar biofortification on field Leek moss. Food Chemistry Molecular Sciences. 12. 100341–100341.
2.
Ter‐Mikaelian, Michael T., Alemu Gonsamo, Jing M. Chen, Gang Mo, & Jiaxin Chen. (2021). Historical and future carbon stocks in forests of northern Ontario, Canada. Carbon Balance and Management. 16(1). 21–21. 1 indexed citations
3.
Chen, Bin, M. Altaf Arain, Jing M. Chen, et al.. (2020). Importance of Shaded Leaf Contribution to the Total GPP of Canadian Terrestrial Ecosystems: Evaluation of MODIS GPP. Journal of Geophysical Research Biogeosciences. 125(10). 14 indexed citations
4.
Luo, Xiangzhong, Jing M. Chen, Jane Liu, et al.. (2018). Comparison of Big‐Leaf, Two‐Big‐Leaf, and Two‐Leaf Upscaling Schemes for Evapotranspiration Estimation Using Coupled Carbon‐Water Modeling. Journal of Geophysical Research Biogeosciences. 123(1). 207–225. 83 indexed citations
5.
Chen, Jing M., Gang Mo, & Feng Deng. (2017). A joint global carbon inversion system using both CO 2 and 13 CO 2 atmospheric concentration data. Geoscientific model development. 10(3). 1131–1156. 9 indexed citations
6.
Birdsey, Richard A., Sean P. Healey, Yude Pan, et al.. (2017). Forest sector carbon analyses support land management planning and projects: assessing the influence of anthropogenic and natural factors. Climatic Change. 144(2). 207–220. 13 indexed citations
7.
He, Liming, Jing M. Chen, Jane Liu, Gang Mo, & Joanna Joiner. (2017). Angular normalization of GOME‐2 Sun‐induced chlorophyll fluorescence observation as a better proxy of vegetation productivity. Geophysical Research Letters. 44(11). 5691–5699. 98 indexed citations
8.
Chen, Zhuoqi, Jing M. Chen, Shupeng Zhang, et al.. (2017). Optimization of Terrestrial Ecosystem Model Parameters Using Atmospheric CO2 Concentration Data With the Global Carbon Assimilation System (GCAS). Journal of Geophysical Research Biogeosciences. 122(12). 3218–3237. 9 indexed citations
9.
Chen, Jing M., et al.. (2015). Chlorophyll Fluorescence Is a Better Proxy for Sunlit Leaf Than Total Canopy Photosynthesis. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
10.
Chen, Jing M., et al.. (2015). Atmospheric inversion of surface carbon flux with consideration of the spatial distribution of US crop production and consumption. Biogeosciences. 12(2). 323–343. 7 indexed citations
11.
Chen, Zhuoqi, Jing M. Chen, Xiaogu Zheng, et al.. (2015). Optimizing photosynthetic and respiratory parameters based on the seasonal variation pattern in regional net ecosystem productivity obtained from atmospheric inversion. Science Bulletin. 60(22). 1954–1961. 6 indexed citations
12.
He, Liming, Jing M. Chen, Jane Liu, et al.. (2014). Optimization of water uptake and photosynthetic parameters in an ecosystem model using tower flux data. Ecological Modelling. 294. 94–104. 32 indexed citations
13.
Chen, Jing M., Gang Mo, Jan Písek, et al.. (2012). Effects of foliage clumping on the estimation of global terrestrial gross primary productivity. Global Biogeochemical Cycles. 26(1). 280 indexed citations
14.
Deng, Feng, Gang Mo, Richard A. Birdsey, et al.. (2009). Nested Inversion of the North America Carbon Flux with Forest Stand Age Constraint. AGU Spring Meeting Abstracts. 2009. 1 indexed citations
15.
Chen, Baozhang, Jing M. Chen, Gang Mo, T. Andrew Black, & Douglas E. J. Worthy. (2008). Comparison of regional carbon flux estimates from CO2 concentration measurements and remote sensing based footprint integration. Global Biogeochemical Cycles. 22(2). 31 indexed citations
16.
Chen, Baozhang, Jing M. Chen, Gang Mo, et al.. (2007). Modeling and Scaling Coupled Energy, Water, and Carbon Fluxes Based on Remote Sensing: An Application to Canada’s Landmass. Journal of Hydrometeorology. 8(2). 123–143. 41 indexed citations
17.
Deng, Feng, Jing M. Chen, Misa Ishizawa, et al.. (2007). Global monthly CO<sub>2</sub> flux inversion with a focus over North America. Tellus B. 59(2). 179–179. 40 indexed citations
18.
Nie, D., Hao He, Gang Mo, M.B. Kirkham, & E. T. Kanemasu. (1992). Canopy photosynthesis and evapotranspiration of rangeland plants under doubled carbon dioxide in closed-top chambers. Agricultural and Forest Meteorology. 61(3-4). 205–217. 31 indexed citations
19.
Mo, Gang, et al.. (1992). Root and shoot weight in a tallgrass prairie under elevated carbon dioxide. Environmental and Experimental Botany. 32(3). 193–201. 19 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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