Min An

3.4k total citations · 1 hit paper
127 papers, 2.5k citations indexed

About

Min An is a scholar working on Plant Science, Ocean Engineering and Water Science and Technology. According to data from OpenAlex, Min An has authored 127 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Plant Science, 18 papers in Ocean Engineering and 17 papers in Water Science and Technology. Recurrent topics in Min An's work include Allelopathy and phytotoxic interactions (41 papers), Weed Control and Herbicide Applications (30 papers) and Water resources management and optimization (17 papers). Min An is often cited by papers focused on Allelopathy and phytotoxic interactions (41 papers), Weed Control and Herbicide Applications (30 papers) and Water resources management and optimization (17 papers). Min An collaborates with scholars based in China, Australia and Canada. Min An's co-authors include James Pratley, T. Haig, Hanwen Wu, Weijun He, D. Lemerle, De Li Liu, Liang Yuan, Jin Huang, Ribesh Khanal and Dagmawi Mulugeta Degefu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Min An

114 papers receiving 2.4k citations

Hit Papers

Spatiotemporal change of ecologic environment quality and... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min An China 32 1.1k 349 337 273 246 127 2.5k
Muhammad Imran Khan Pakistan 33 1.1k 1.0× 446 1.3× 456 1.4× 128 0.5× 228 0.9× 107 3.7k
P.S. Bindraban Netherlands 35 3.4k 3.0× 425 1.2× 493 1.5× 270 1.0× 276 1.1× 141 6.7k
Shahbaz Khan China 25 1.2k 1.1× 461 1.3× 892 2.6× 229 0.8× 357 1.5× 88 3.3k
Mingyue Li China 30 442 0.4× 496 1.4× 563 1.7× 66 0.2× 229 0.9× 107 2.8k
Avishek Datta Thailand 32 2.7k 2.4× 267 0.8× 367 1.1× 73 0.3× 109 0.4× 202 4.0k
Giuseppe Celano Italy 34 1.7k 1.5× 121 0.3× 424 1.3× 104 0.4× 360 1.5× 119 3.4k
Kees van Leeuwen Netherlands 41 418 0.4× 854 2.4× 567 1.7× 633 2.3× 516 2.1× 113 5.7k
Muhammad Ashfaq Pakistan 26 813 0.7× 205 0.6× 150 0.4× 117 0.4× 127 0.5× 153 2.6k
Yi-Fan Li China 57 237 0.2× 314 0.9× 368 1.1× 133 0.5× 385 1.6× 231 9.1k
E. Capri Italy 36 923 0.8× 329 0.9× 168 0.5× 54 0.2× 283 1.2× 239 4.3k

Countries citing papers authored by Min An

Since Specialization
Citations

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

Fields of papers citing papers by Min An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min An

This figure shows the co-authorship network connecting the top 25 collaborators of Min An. A scholar is included among the top collaborators of Min An 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 Min An. Min An 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.
He, Weijun, et al.. (2025). SWAT model application for calculating ecological flow in sub-basins of the Huangshui River Basin. Journal of Environmental Management. 380. 124837–124837. 2 indexed citations
4.
An, Min, et al.. (2024). How human activities affect and reduce ecological sensitivity under climate change: Case study of the Yangtze River Economic Belt, China. Journal of Cleaner Production. 472. 143438–143438. 10 indexed citations
5.
Zhang, Xiaojie, et al.. (2024). Nano-medicine therapy reprogramming metabolic network of tumour microenvironment: new opportunity for cancer therapies. Journal of drug targeting. 32(3). 241–257. 2 indexed citations
6.
Zhang, Xiaojie, Qiangwei Liang, Min An, et al.. (2024). Dual depletion of myeloid-derived suppressor cells and tumor cells with self-assembled gemcitabine-celecoxib nano-twin drug for cancer chemoimmunotherapy. Journal of Nanobiotechnology. 22(1). 319–319. 13 indexed citations
7.
An, Min, et al.. (2024). Assessment on eco-environmental quality of the Yellow River Basin by considering desertification index. Journal of Mountain Science. 21(10). 3275–3292.
8.
Luo, Yubo, Wang Li, Min An, et al.. (2024). Suppression of bipolar excitation and enhanced thermoelectric performance in n-type Bi2Te3 with argyrodite Ag8SnSe6 inclusion. Journal of Materials Chemistry A. 12(7). 4221–4230. 4 indexed citations
9.
An, Min, et al.. (2023). Spatial-Temporal evolvement and the contributing factors for the economic potential of ecosystem services in counties situated along a river. Journal for Nature Conservation. 75. 126461–126461. 10 indexed citations
10.
Li, Juan, Qiangwei Liang, Jiayu Yang, et al.. (2023). Tumor Microenvironment Sequential Drug/Gene Delivery Nanosystem for Realizing Multistage Boosting of Cancer–Immunity Cycle on Cancer Immunotherapy. ACS Applied Materials & Interfaces. 15(47). 54898–54914. 6 indexed citations
11.
Zhao, Yumeng, Xiaojie Zhang, Min An, Juntao Zhang, & Yanhua Liu. (2023). Recent advancements in nanomedicine based lipid metabolism for tumour immunotherapy. Journal of drug targeting. 31(10). 1050–1064. 4 indexed citations
12.
Kong, Yang, Weijun He, Zhaofang Zhang, et al.. (2022). Spatial-temporal variation and driving factors decomposition of agricultural grey water footprint in China. Journal of Environmental Management. 318. 115601–115601. 47 indexed citations
13.
Asaduzzaman, Md, James Pratley, Min An, David J. Luckett, & D. Lemerle. (2015). Metabolomics differentiation of canola genotypes: toward an understanding of canola allelochemicals. Frontiers in Plant Science. 5. 765–765. 29 indexed citations
14.
Zhang, Jiaen, et al.. (2015). Response of invasive Chromolaena odorata and two coexisting weeds to contrasting irradiance and nitrogen. Photosynthetica. 53(3). 419–429. 20 indexed citations
15.
Asaduzzaman, Md, et al.. (2014). Canola cultivar performance in weed-infested field plots confirms allelopathy ranking from in vitro testing. Biocontrol Science and Technology. 24(12). 1394–1411. 19 indexed citations
16.
An, Min, et al.. (2012). Allelopathic effects of mangrove plant Bruguiera gymnorrhiza on microalgae. Allelopathy Journal. 30(2). 291–298. 5 indexed citations
17.
Wu, Hanwen, et al.. (2011). Allelopathic effects of Eucalyptus dundasii on germination and growth of ryegrass and barley grass. Allelopathy Journal. 28(1). 87–94. 9 indexed citations
18.
Pratley, James, et al.. (2011). Incidence of endophyte Neotyphodium occultans in Lolium rigidum from Australia. Weed Research. 51(3). 261–272. 12 indexed citations
19.
Stanton, Rex, et al.. (2008). Home among the gum trees - not necessarily so for silverleaf nightshade.. Charles Sturt University Research Output (CRO). 330–332. 2 indexed citations
20.
Wu, Hanwen, James Pratley, D. Lemerle, Min An, & De Li Liu. (2007). Modern genomic approaches to improve allelopathic capability in wheat (Triticum aestivum L). Allelopathy Journal. 19(1). 97–107. 5 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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