Mo Wang

2.5k total citations · 1 hit paper
31 papers, 1.9k citations indexed

About

Mo Wang is a scholar working on Atmospheric Science, Molecular Biology and Global and Planetary Change. According to data from OpenAlex, Mo Wang has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 11 papers in Molecular Biology and 11 papers in Global and Planetary Change. Recurrent topics in Mo Wang's work include Atmospheric chemistry and aerosols (14 papers), DNA Repair Mechanisms (10 papers) and Cryospheric studies and observations (10 papers). Mo Wang is often cited by papers focused on Atmospheric chemistry and aerosols (14 papers), DNA Repair Mechanisms (10 papers) and Cryospheric studies and observations (10 papers). Mo Wang collaborates with scholars based in China, United States and Germany. Mo Wang's co-authors include Baiqing Xu, Junji Cao, Huabiao Zhao, Zhukuan Cheng, Ding Tang, Tandong Yao, Wei Yang, Kejian Wang, Ninglian Wang and Guangjian Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and The Plant Cell.

In The Last Decade

Mo Wang

30 papers receiving 1.9k citations

Hit Papers

Black soot and the survival of Tibetan glaciers 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mo Wang China 20 1.2k 743 536 414 337 31 1.9k
Hugo J. de Boer Netherlands 18 321 0.3× 726 1.0× 117 0.2× 521 1.3× 23 0.1× 61 1.3k
Tomáš Kyncl Czechia 20 832 0.7× 697 0.9× 38 0.1× 187 0.5× 23 0.1× 35 1.2k
Zhongsheng Wang China 18 142 0.1× 246 0.3× 243 0.5× 228 0.6× 11 0.0× 62 1.1k
Ünal Akkemık Türkiye 20 879 0.8× 689 0.9× 177 0.3× 197 0.5× 20 0.1× 126 1.4k
Michael S. Zavada United States 25 218 0.2× 38 0.1× 685 1.3× 401 1.0× 13 0.0× 70 1.7k
Gwo-Ching Gong Taiwan 16 206 0.2× 183 0.2× 260 0.5× 68 0.2× 57 0.2× 31 1.4k
Rainer Kiko Germany 26 163 0.1× 396 0.5× 281 0.5× 27 0.1× 73 0.2× 73 1.9k
Alexandra Kraberg Germany 20 127 0.1× 262 0.4× 226 0.4× 86 0.2× 20 0.1× 49 1.2k
María Luisa González de Canales Spain 19 223 0.2× 51 0.1× 57 0.1× 37 0.1× 425 1.3× 48 1.2k
E. Fraile‐Nuez Spain 25 304 0.3× 564 0.8× 165 0.3× 21 0.1× 127 0.4× 75 1.8k

Countries citing papers authored by Mo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mo Wang. A scholar is included among the top collaborators of Mo Wang 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 Mo Wang. Mo Wang 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.
Wang, Mo, Hailong Wang, Zhen Li, et al.. (2025). Radiocarbon Fingerprinting Black Carbon Source History in the Himalayas. Geophysical Research Letters. 52(4).
2.
Li, Zhen, Suhaib Bin Farhan, Mo Wang, et al.. (2025). The Interpretation of Karakoram Anomaly by High Karakoram Ice Core Record. Journal of Geophysical Research Atmospheres. 130(1). 3 indexed citations
3.
Wang, Mo, et al.. (2022). Seasonal Climatic Variations Inferred From Pollen in a Laminated Glacier in the Southeastern Tibetan Plateau. Earth and Space Science. 9(12). 6 indexed citations
4.
Wang, Mo, Baiqing Xu, Hailong Wang, et al.. (2020). Black carbon deposited in Hariqin Glacier of the Central Tibetan Plateau record changes in the emission from Eurasia. Environmental Pollution. 273. 115778–115778. 12 indexed citations
6.
Zhou, Jiamao, Xuexi Tie, Baiqing Xu, et al.. (2018). Black carbon (BC) in a northern Tibetan mountain: effect of Kuwait fires on glaciers. Atmospheric chemistry and physics. 18(18). 13673–13685. 6 indexed citations
7.
Wang, Xin, et al.. (2018). Quantifying light absorption and its source attribution of insoluble light-absorbing particles in Tibet an Plateau glaciers from 2013–2015. Biogeosciences (European Geosciences Union). 1 indexed citations
8.
Wang, Mo, Baiqing Xu, Ninglian Wang, et al.. (2016). Two distinct patterns of seasonal variation of airborne black carbon over Tibetan Plateau. The Science of The Total Environment. 573. 1041–1052. 44 indexed citations
9.
Zhao, Huabiao, Baiqing Xu, Zhen Li, et al.. (2016). Abundant climatic information in water stable isotope record from a maritime glacier on southeastern Tibetan Plateau. Climate Dynamics. 48(3-4). 1161–1171. 16 indexed citations
10.
Yang, Song, Baiqing Xu, Junji Cao, Charles S. Zender, & Mo Wang. (2015). Climate effect of black carbon aerosol in a Tibetan Plateau glacier. Atmospheric Environment. 111. 71–78. 71 indexed citations
11.
Wang, Mo, Baiqing Xu, S. Kaspari, et al.. (2015). Century-long record of black carbon in an ice core from the Eastern Pamirs: Estimated contributions from biomass burning. Atmospheric Environment. 115. 79–88. 40 indexed citations
12.
Zhang, Bingwei, Mo Wang, Ding Tang, et al.. (2015). XRCC3 is essential for proper double-strand break repair and homologous recombination in rice meiosis. Journal of Experimental Botany. 66(19). 5713–5725. 24 indexed citations
13.
Ji, Jianhui, Ding Tang, Mo Wang, et al.. (2013). MRE11 is required for homologous synapsis and DSB processing in rice meiosis. Chromosoma. 122(5). 363–376. 30 indexed citations
14.
Wang, Kejian, Mo Wang, Ding Tang, et al.. (2012). The Role of Rice HEI10 in the Formation of Meiotic Crossovers. PLoS Genetics. 8(7). e1002809–e1002809. 113 indexed citations
15.
Ji, Jianhui, Ding Tang, Kejian Wang, et al.. (2012). The role of OsCOM1 in homologous chromosome synapsis and recombination in rice meiosis. The Plant Journal. 72(1). 18–30. 44 indexed citations
16.
Xu, Jing, Xiaojuan Sun, Mo Wang, et al.. (2012). MRG-1 is required for genomic integrity in Caenorhabditis elegans germ cells. Cell Research. 22(5). 886–902. 10 indexed citations
17.
Che, Lixiao, Ding Tang, Kejian Wang, et al.. (2011). OsAM1 is required for leptotene-zygotene transition in rice. Cell Research. 21(4). 654–665. 48 indexed citations
18.
Zhao, Huabiao, Baiqing Xu, Tandong Yao, et al.. (2011). Deuterium excess record in a southern Tibetan ice core and its potential climatic implications. Climate Dynamics. 38(9-10). 1791–1803. 55 indexed citations
19.
Wang, Kejian, Mo Wang, Ding Tang, et al.. (2010). PAIR3, an axis-associated protein, is essential for the recruitment of recombination elements onto meiotic chromosomes in rice. Molecular Biology of the Cell. 22(1). 12–19. 64 indexed citations
20.
Yu, Hengxiu, Mo Wang, Ding Tang, et al.. (2010). OsSPO11-1 is essential for both homologous chromosome pairing and crossover formation in rice. Chromosoma. 119(6). 625–636. 65 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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