Tiedong Lu

840 total citations
18 papers, 685 citations indexed

About

Tiedong Lu is a scholar working on Pollution, Molecular Medicine and Molecular Biology. According to data from OpenAlex, Tiedong Lu has authored 18 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pollution, 8 papers in Molecular Medicine and 6 papers in Molecular Biology. Recurrent topics in Tiedong Lu's work include Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Antibiotic Resistance in Bacteria (8 papers) and Gut microbiota and health (6 papers). Tiedong Lu is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Antibiotic Resistance in Bacteria (8 papers) and Gut microbiota and health (6 papers). Tiedong Lu collaborates with scholars based in China, Germany and United Kingdom. Tiedong Lu's co-authors include Junya Zhang, Yuansong Wei, Peihong Shen, Jibao Liu, Yawei Wang, Ziyue Wang, Hui Zhong, Qianwen Sui, Liming Shi and Kecheng Zhang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Tiedong Lu

18 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiedong Lu China 15 401 220 129 121 118 18 685
Jingyeong Shin South Korea 18 577 1.4× 146 0.7× 186 1.4× 166 1.4× 117 1.0× 34 904
Emma J. Bowen United Kingdom 6 373 0.9× 87 0.4× 166 1.3× 115 1.0× 60 0.5× 6 551
Bas van der Zaan Netherlands 12 487 1.2× 53 0.2× 114 0.9× 116 1.0× 146 1.2× 14 809
Suli Zhi China 19 422 1.1× 107 0.5× 75 0.6× 208 1.7× 182 1.5× 41 992
Yuxiu Zhang China 12 404 1.0× 51 0.2× 83 0.6× 109 0.9× 81 0.7× 23 640
Quentin Aemig France 8 359 0.9× 155 0.7× 43 0.3× 95 0.8× 124 1.1× 13 641
Xiaoyan Gong China 10 302 0.8× 214 1.0× 81 0.6× 74 0.6× 99 0.8× 16 663
Moustapha Harb Lebanon 18 597 1.5× 82 0.4× 152 1.2× 402 3.3× 179 1.5× 30 987

Countries citing papers authored by Tiedong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Tiedong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiedong Lu

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

All Works

18 of 18 papers shown
1.
Tang, Qihe, Tiedong Lu, Junya Zhang, et al.. (2025). Response of antibiotic resistance genes expression and mediating role of viral community to antibiotics and heavy metals in anaerobic digestion. Chemical Engineering Journal. 509. 161396–161396. 2 indexed citations
2.
Zhang, Junya, Tiedong Lu, Yunpeng Song, et al.. (2024). Viral Communities Contribute More to the Lysis of Antibiotic-Resistant Bacteria than the Transduction of Antibiotic Resistance Genes in Anaerobic Digestion Revealed by Metagenomics. Environmental Science & Technology. 58(5). 2346–2359. 33 indexed citations
3.
Zhang, Junya, et al.. (2023). Response of prokaryotic, eukaryotic and algal communities to heavy rainfall in a reservoir supplied with reclaimed water. Journal of Environmental Management. 334. 117394–117394. 8 indexed citations
4.
Shi, Liming, Junya Zhang, Tiedong Lu, & Kecheng Zhang. (2022). Metagenomics revealed the mobility and hosts of antibiotic resistance genes in typical pesticide wastewater treatment plants. The Science of The Total Environment. 817. 153033–153033. 51 indexed citations
5.
6.
Huang, Luodong, et al.. (2022). Anaerobic co-digestion of molasses vinasse and three kinds of manure: A comparative study of performance at different mixture ratio and organic loading rate. Journal of Cleaner Production. 371. 133631–133631. 16 indexed citations
7.
Zhang, Junya, et al.. (2022). Ferric chloride further simplified the horizontal gene transfer network of antibiotic resistance genes in anaerobic digestion. The Science of The Total Environment. 844. 157054–157054. 13 indexed citations
8.
Lu, Tiedong, et al.. (2022). Dual character of methane production improvement and antibiotic resistance genes reduction by nano-Fe2O3 addition during anaerobic digestion of swine manure. Journal of Cleaner Production. 376. 134240–134240. 19 indexed citations
9.
Zhang, Junya, Tiedong Lu, Hui Zhong, Peihong Shen, & Yuansong Wei. (2021). Zero valent iron improved methane production and specifically reduced aminoglycoside and tetracycline resistance genes in anaerobic digestion. Waste Management. 136. 122–131. 28 indexed citations
10.
Zhang, Junya, Qianwen Sui, Tiedong Lu, et al.. (2019). Sludge bio-drying followed by land application could control the spread of antibiotic resistance genes. Environment International. 130. 104906–104906. 28 indexed citations
11.
Lu, Tiedong, Junya Zhang, Yuansong Wei, & Peihong Shen. (2019). Effects of ferric oxide on the microbial community and functioning during anaerobic digestion of swine manure. Bioresource Technology. 287. 121393–121393. 67 indexed citations
12.
Lu, Tiedong, Junya Zhang, Ping Li, Peihong Shen, & Yuansong Wei. (2019). Enhancement of methane production and antibiotic resistance genes reduction by ferrous chloride during anaerobic digestion of swine manure. Bioresource Technology. 298. 122519–122519. 47 indexed citations
13.
Zhang, Junya, Tiedong Lu, Peihong Shen, et al.. (2019). The role of substrate types and substrate microbial community on the fate of antibiotic resistance genes during anaerobic digestion. Chemosphere. 229. 461–470. 40 indexed citations
14.
Zhang, Junya, Tiedong Lu, Ziyue Wang, et al.. (2019). Effects of magnetite on anaerobic digestion of swine manure: Attention to methane production and fate of antibiotic resistance genes. Bioresource Technology. 291. 121847–121847. 64 indexed citations
15.
Zhang, Junya, Jibao Liu, Tiedong Lu, et al.. (2018). Fate of antibiotic resistance genes during anaerobic digestion of sewage sludge: Role of solids retention times in different configurations. Bioresource Technology. 274. 488–495. 57 indexed citations
16.
Zhang, Junya, Ziyue Wang, Tiedong Lu, et al.. (2018). Response and mechanisms of the performance and fate of antibiotic resistance genes to nano-magnetite during anaerobic digestion of swine manure. Journal of Hazardous Materials. 366. 192–201. 107 indexed citations
17.
Cheng, Zhenmin, et al.. (2018). Enhancement of surfactant biodegradation with an anaerobic membrane bioreactor by introducing microaeration. Chemosphere. 208. 343–351. 33 indexed citations
18.
Zhang, Junya, et al.. (2018). Which animal type contributes the most to the emission of antibiotic resistance genes in large-scale swine farms in China?. The Science of The Total Environment. 658. 152–159. 58 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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