Longjiang Mao

1.2k total citations
53 papers, 964 citations indexed

About

Longjiang Mao is a scholar working on Atmospheric Science, Paleontology and Pollution. According to data from OpenAlex, Longjiang Mao has authored 53 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 12 papers in Paleontology and 10 papers in Pollution. Recurrent topics in Longjiang Mao's work include Geology and Paleoclimatology Research (31 papers), Archaeology and ancient environmental studies (11 papers) and Heavy metals in environment (8 papers). Longjiang Mao is often cited by papers focused on Geology and Paleoclimatology Research (31 papers), Archaeology and ancient environmental studies (11 papers) and Heavy metals in environment (8 papers). Longjiang Mao collaborates with scholars based in China, Canada and United States. Longjiang Mao's co-authors include Duowen Mo, Zhihai Tan, Yuanyuan Guo, Min Ding, Wenwen Yu, Hong Liao, Yali Li, Teng Wang, Chuchu Zhang and Xinqing Zou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Journal of Hazardous Materials.

In The Last Decade

Longjiang Mao

50 papers receiving 932 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longjiang Mao China 18 476 297 165 159 125 53 964
Helen Kaberi Greece 25 868 1.8× 245 0.8× 329 2.0× 270 1.7× 141 1.1× 56 1.7k
Ananta Prasad Gajurel Nepal 18 512 1.1× 448 1.5× 319 1.9× 127 0.8× 94 0.8× 48 1.7k
Brice Mourier France 22 496 1.0× 284 1.0× 115 0.7× 314 2.0× 114 0.9× 60 1.2k
Neven Cukrov Croatia 20 480 1.0× 226 0.8× 60 0.4× 282 1.8× 100 0.8× 88 1.3k
Yves Perrette France 17 249 0.5× 276 0.9× 163 1.0× 47 0.3× 84 0.7× 47 875
Manfred Ältermann Germany 5 349 0.7× 292 1.0× 52 0.3× 133 0.8× 99 0.8× 9 997
Chenyin Dong China 19 373 0.8× 220 0.7× 59 0.4× 306 1.9× 181 1.4× 45 1.1k
Jeffrey L. Howard United States 19 310 0.7× 168 0.6× 45 0.3× 101 0.6× 141 1.1× 34 818
Adam Hartland New Zealand 21 248 0.5× 460 1.5× 57 0.3× 124 0.8× 40 0.3× 63 1.2k
Jarosław Waroszewski Poland 20 348 0.7× 351 1.2× 25 0.2× 79 0.5× 187 1.5× 53 1.3k

Countries citing papers authored by Longjiang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Longjiang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longjiang Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Longjiang Mao. A scholar is included among the top collaborators of Longjiang Mao 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 Longjiang Mao. Longjiang Mao 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
2.
Tan, Zhihai, Yongming Han, Longjiang Mao, et al.. (2025). Record of polycyclic aromatic hydrocarbons (PAHs) from prehistoric sediments and human activity in the Lubei plain of China. Scientific Reports. 15(1). 7347–7347. 1 indexed citations
3.
Tan, Zhihai, Qi Zhang, Yongming Han, et al.. (2025). Coprostanol records from two distinct prehistoric profiles in the middle and lower reaches of the Yellow River, China, provide evidence of anthropogenic fires. Palaeogeography Palaeoclimatology Palaeoecology. 666. 112817–112817.
4.
Deng, Xiaoqian, Longjiang Mao, Mo Peng, et al.. (2024). Polycyclic aromatic hydrocarbons in coastal rivers in Jiangsu Province, China: Spatial distribution, source apportionment and human impacts. Journal of Hazardous Materials. 466. 133576–133576. 19 indexed citations
5.
Cai, Yuqi, et al.. (2023). Trace elements in surface sediments from Xinyanggang River of Jiangsu Province, China: Spatial distribution, risk assessment and source appointment. Marine Pollution Bulletin. 187. 114550–114550. 7 indexed citations
6.
Wang, Changyou, Ping Zheng, Haifeng Gu, et al.. (2023). Predicting Ecological Distribution of the Toxic Dinoflagellate Alexandrium minutum in China Sea Using Ecological Niche Modeling. Journal of Ocean University of China. 22(4). 1119–1128. 2 indexed citations
7.
Gao, Shu, et al.. (2023). Sedimentary record of a late Holocene storm event in Laizhou Bay, Bohai Sea, China. Journal of Oceanology and Limnology. 41(3). 909–920. 1 indexed citations
9.
Mao, Longjiang, et al.. (2022). Distribution and source of black carbon in coastal river sediments around Haizhou Bay, Eastern China: implications for anthropogenic inputs. Environmental Science and Pollution Research. 30(8). 21092–21103. 3 indexed citations
10.
Mao, Longjiang, et al.. (2022). Pollution, risks, and sources of heavy metals in sediments from the urban rivers flowing into Haizhou Bay, China. Environmental Science and Pollution Research. 29(25). 38054–38065. 13 indexed citations
11.
12.
Wang, Changyou, Siwen Wang, Bin Yang, et al.. (2020). Periodic density as an endpoint of customized plankton community responses to petroleum hydrocarbons: A level of toxic effect should be matched with a suitable time scale. Ecotoxicology and Environmental Safety. 201. 110723–110723. 3 indexed citations
13.
14.
Zhou, Liang, Shu Gao, Jianjun Jia, et al.. (2019). Extracting historic cyclone data from coastal dune deposits in eastern Hainan Island, China. Sedimentary Geology. 392. 105524–105524. 15 indexed citations
15.
Wang, Teng, Hong Liao, Xinqing Zou, et al.. (2019). Emission of primary microplastics in mainland China: Invisible but not negligible. Water Research. 162. 214–224. 209 indexed citations
16.
Tan, Zhihai, Yongming Han, Junji Cao, et al.. (2018). The linkages with fires, vegetation composition and human activity in response to climate changes in the Chinese Loess Plateau during the Holocene. Quaternary International. 488. 18–29. 17 indexed citations
17.
Ding, Min, et al.. (2018). Geochemical and Clay-Size Minerals Evidence for the Provenance of LQC Loess Deposits in the Central Shandong, Northern China. SHILAP Revista de lepidopterología. 8(1). 24–24. 2 indexed citations
18.
Mao, Longjiang, David J. W. Piper, Francky Saint‐Ange, John T. Andrews, & Markus Kienast. (2014). Provenance of sediment in the Labrador Current: a record of hinterland glaciation over the past 125 ka. Journal of Quaternary Science. 29(7). 650–660. 12 indexed citations
19.
Mao, Longjiang, et al.. (2012). Concentration and pollution assessment of hazardous metal elements in sediments of the Xiangjiang River, China. Journal of Radioanalytical and Nuclear Chemistry. 295(1). 513–521. 8 indexed citations
20.
Mao, Longjiang, et al.. (2006). Deposits and soil-formation process of Xiashu Loess in lower reaches of the Yangtze River:a case study of TZC profile in Nanjing. Geographical Research. 25(5). 887–894. 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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