Hong Bai

3.0k total citations · 2 hit papers
40 papers, 2.1k citations indexed

About

Hong Bai is a scholar working on Pollution, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Hong Bai has authored 40 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pollution, 19 papers in Molecular Biology and 13 papers in Molecular Medicine. Recurrent topics in Hong Bai's work include Pharmaceutical and Antibiotic Environmental Impacts (22 papers), Antibiotic Resistance in Bacteria (13 papers) and Pharmacological Effects of Natural Compounds (8 papers). Hong Bai is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (22 papers), Antibiotic Resistance in Bacteria (13 papers) and Pharmacological Effects of Natural Compounds (8 papers). Hong Bai collaborates with scholars based in China, Netherlands and Japan. Hong Bai's co-authors include Kang Ning, Runzhi Zhang, Xue Zhu, Liang-Ying He, Fang-Zhou Gao, Guang‐Guo Ying, Dai-Ling Wu, Haiyan Zou, Min Zhang and Lu-Xi He and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Hong Bai

35 papers receiving 2.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment

2019 882 citations Runzhi Zhang, Xue Zhu et al. Frontiers in Pharmacology profile →
From river to groundwater: Antibiotics pollution, resistance prevalence, and source tracking

2025 23 citations Dai-Ling Wu, Hong Bai et al. Environment International profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hong Bai China	19	818	611	392	315	225	40	2.1k
Ahmad Faizal Abdull Razis Malaysia	32	1.2k 1.5×	410 0.7×	330 0.8×	232 0.7×	103 0.5×	114	3.6k
R. Anandan India	32	811 1.0×	170 0.3×	304 0.8×	253 0.8×	58 0.3×	135	3.2k
Ssu‐Ching Chen Taiwan	29	1.1k 1.3×	279 0.5×	224 0.6×	139 0.4×	46 0.2×	75	2.5k
Tong Chen China	19	1.5k 1.8×	104 0.2×	317 0.8×	322 1.0×	21 0.1×	48	2.5k
Xue Zhu China	12	608 0.7×	71 0.1×	302 0.8×	246 0.8×	40 0.2×	18	1.3k
Nasreddine El Omari Morocco	35	1.2k 1.5×	107 0.2×	364 0.9×	328 1.0×	88 0.4×	117	3.7k
Liwei Sun China	37	1.4k 1.8×	592 1.0×	143 0.4×	134 0.4×	31 0.1×	105	3.7k
Abdulrahman L. Al‐Malki Saudi Arabia	26	798 1.0×	145 0.2×	193 0.5×	138 0.4×	131 0.6×	83	2.0k
Sunny O. Abarikwu Nigeria	28	446 0.5×	304 0.5×	157 0.4×	143 0.5×	108 0.5×	79	2.2k
Ping Xu China	36	1.0k 1.3×	167 0.3×	202 0.5×	167 0.5×	31 0.1×	138	3.8k

Countries citing papers authored by Hong Bai

Since Specialization

Citations

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

Fields of papers citing papers by Hong Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Bai

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

He, Lu-Xi, Lu-Xi He, Liang-Ying He, et al.. (2025). Deciphering spread of quinolone resistance in mariculture ponds: Cross-species and cross-environment transmission of resistome. Journal of Hazardous Materials. 487. 137198–137198. 5 indexed citations

Wang, Yichun, Liang-Ying He, Chunmiao Zheng, et al.. (2025). High-risk plasmid-borne resistance genes from swine farm environments infiltrate deep soil and interact with the human gut microbiome via horizontal transfer. Journal of Hazardous Materials. 496. 139281–139281.

Brink, Paul J. Van den, et al.. (2025). The effects of triclosan on microbial communities in different sources of water and sediments. Ecotoxicology and Environmental Safety. 303. 118778–118778.

Gao, Fang-Zhou, Li‐Xin Hu, You‐Sheng Liu, et al.. (2025). The increase in wastewater-sourced resistome elevated the prevalence and risk of riverine antibiotic resistance in wet season. Environment International. 203. 109769–109769.

He, Liang-Ying, Fang-Zhou Gao, Chunmiao Zheng, et al.. (2025). Deciphering key traits and dissemination of antibiotic resistance genes and degradation genes in pharmaceutical wastewater receiving environments. Water Research. 275. 123241–123241. 16 indexed citations

Wu, Dai-Ling, Hong Bai, Liang-Ying He, et al.. (2025). From river to groundwater: Antibiotics pollution, resistance prevalence, and source tracking. Environment International. 196. 109305–109305. 23 indexed citations breakdown →

Gao, Fang-Zhou, Li‐Xin Hu, You‐Sheng Liu, et al.. (2024). Unveiling the overlooked small-sized microbiome in river ecosystems. Water Research. 265. 122302–122302. 9 indexed citations

Jia, Weili, Min Zhang, Fang-Zhou Gao, et al.. (2024). Antibiotic resistome in landfill leachate and impact on groundwater. The Science of The Total Environment. 927. 171991–171991. 18 indexed citations

Bai, Hong, Liang-Ying He, Liang-Ying He, et al.. (2024). Airborne antibiotic resistome and microbiome in pharmaceutical factories. Environment International. 186. 108639–108639. 16 indexed citations

10.

Gao, Fang-Zhou, Weili Jia, Bing Li, et al.. (2024). Contaminant-degrading bacteria are super carriers of antibiotic resistance genes in municipal landfills: A metagenomics-based study. Environment International. 195. 109239–109239. 9 indexed citations

11.

Bai, Hong, et al.. (2024). Assessing ecological responses of exposure to the pyrethroid insecticide lambda-cyhalothrin in sub-tropical freshwater ecosystems. The Science of The Total Environment. 952. 176022–176022. 4 indexed citations

12.

He, Lu-Xi, Lu-Xi He, Liang-Ying He, et al.. (2023). Mariculture affects antibiotic resistome and microbiome in the coastal environment. Journal of Hazardous Materials. 452. 131208–131208. 59 indexed citations

13.

Gao, Fang-Zhou, Liang-Ying He, Xin Chen, et al.. (2023). Swine farm groundwater is a hidden hotspot for antibiotic-resistant pathogenic Acinetobacter. SHILAP Revista de lepidopterología. 3(1). 34–34. 20 indexed citations

14.

Bai, Hong, Liang-Ying He, Liang-Ying He, et al.. (2023). Airborne antibiotic resistome and human health risk in railway stations during COVID-19 pandemic. Environment International. 172. 107784–107784. 16 indexed citations

15.

Gao, Fang-Zhou, Liang-Ying He, Hong Bai, et al.. (2023). Airborne bacterial community and antibiotic resistome in the swine farming environment: Metagenomic insights into livestock relevance, pathogen hosts and public risks. Environment International. 172. 107751–107751. 39 indexed citations

16.

Gao, Fang-Zhou, Liang-Ying He, Liang-Ying He, et al.. (2023). Swine farming shifted the gut antibiotic resistome of local people. Journal of Hazardous Materials. 465. 133082–133082. 13 indexed citations

17.

Gao, Fang-Zhou, Liang-Ying He, Li‐Xin Hu, et al.. (2022). The variations of antibiotics and antibiotic resistance genes in two subtropical large river basins of south China: Anthropogenic impacts and environmental risks. Environmental Pollution. 312. 119978–119978. 30 indexed citations

18.

He, Liang-Ying, Lunkai He, Fang-Zhou Gao, et al.. (2021). Dissipation of antibiotic resistance genes in manure-amended agricultural soil. The Science of The Total Environment. 787. 147582–147582. 42 indexed citations

19.

Gao, Fang-Zhou, Liang-Ying He, Lu-Xi He, et al.. (2020). Untreated swine wastes changed antibiotic resistance and microbial community in the soils and impacted abundances of antibiotic resistance genes in the vegetables. The Science of The Total Environment. 741. 140482–140482. 96 indexed citations

20.

Zhang, Runzhi, Xue Zhu, Hong Bai, & Kang Ning. (2019). Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment. Frontiers in Pharmacology. 10. 123–123. 882 indexed citations breakdown →

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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