Longman Li

1.2k total citations · 1 hit paper
31 papers, 827 citations indexed

About

Longman Li is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Longman Li has authored 31 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 16 papers in Nutrition and Dietetics and 7 papers in Molecular Biology. Recurrent topics in Longman Li's work include Heavy Metal Exposure and Toxicity (16 papers), Trace Elements in Health (15 papers) and Iron Metabolism and Disorders (7 papers). Longman Li is often cited by papers focused on Heavy Metal Exposure and Toxicity (16 papers), Trace Elements in Health (15 papers) and Iron Metabolism and Disorders (7 papers). Longman Li collaborates with scholars based in China, Hong Kong and United States. Longman Li's co-authors include Xiaobo Yang, Lulu Huang, Xiaoting Ge, Xiaoyu Luo, Zengnan Mo, Hong Cheng, Qingzhi Hou, Chaoqun Liu, Haiying Zhang and Yunfeng Zou and has published in prestigious journals such as American Journal of Clinical Nutrition, The Science of The Total Environment and Environmental Health Perspectives.

In The Last Decade

Longman Li

30 papers receiving 817 citations

Hit Papers

The Essential Element Manganese, Oxidative Stress, and Me... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longman Li China 14 369 325 140 131 91 31 827
Chin-Ching Wu Taiwan 20 545 1.5× 222 0.7× 297 2.1× 130 1.0× 84 0.9× 37 1.2k
Shangzhi Xu China 18 302 0.8× 151 0.5× 175 1.3× 77 0.6× 103 1.1× 43 928
Alexandr А. Nikonorov Russia 18 516 1.4× 414 1.3× 70 0.5× 111 0.8× 69 0.8× 61 1.0k
Gaolong Zhong China 17 282 0.8× 279 0.9× 318 2.3× 107 0.8× 113 1.2× 41 892
Jamie L. Young United States 16 435 1.2× 191 0.6× 160 1.1× 98 0.7× 58 0.6× 29 831
Scott Wright United States 12 552 1.5× 511 1.6× 211 1.5× 300 2.3× 67 0.7× 21 1.5k
Qiang Niu China 21 335 0.9× 140 0.4× 321 2.3× 49 0.4× 115 1.3× 73 1.2k
Sang‐Yong Eom South Korea 20 458 1.2× 128 0.4× 221 1.6× 193 1.5× 47 0.5× 96 1.1k
Elizaveta V. Popova Russia 11 449 1.2× 254 0.8× 63 0.5× 139 1.1× 56 0.6× 16 682
Christelle Douillet United States 24 508 1.4× 252 0.8× 375 2.7× 51 0.4× 46 0.5× 62 1.6k

Countries citing papers authored by Longman Li

Since Specialization
Citations

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

Fields of papers citing papers by Longman Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longman Li

This figure shows the co-authorship network connecting the top 25 collaborators of Longman Li. A scholar is included among the top collaborators of Longman Li 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 Longman Li. Longman Li 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.
Cheng, Hong, Xiaoting Ge, Mengdi Zhang, et al.. (2023). Zinc homeostasis may reverse the synergistic neurotoxicity of heavy metal mixtures in Caenorhabditis elegans. The Science of The Total Environment. 868. 161699–161699. 12 indexed citations
3.
Yang, Wenjun, Lulu Huang, Hong Cheng, et al.. (2022). Causal Effect of Genetically Determined Blood Copper Concentrations on Multiple Diseases: A Mendelian Randomization and Phenome-Wide Association Study. PubMed. 2(4). 242–253. 6 indexed citations
5.
He, Xing, Feng Tian, Fei Guo, et al.. (2022). Circulating exosomal mRNA signatures for the early diagnosis of clear cell renal cell carcinoma. BMC Medicine. 20(1). 270–270. 22 indexed citations
6.
Yang, Wenjun, Longman Li, Hong Cheng, et al.. (2022). Genome-wide association and Mendelian randomization study of blood copper levels and 213 deep phenotypes in humans. Communications Biology. 5(1). 405–405. 13 indexed citations
7.
Li, Longman, Lulu Huang, Aimin Yang, et al.. (2021). Causal Relationship Between Complement C3, C4, and Nonalcoholic Fatty Liver Disease: Bidirectional Mendelian Randomization Analysis. PubMed. 1(5). 211–221. 9 indexed citations
8.
Zan, Gaohui, Longman Li, Hong Cheng, et al.. (2021). Mediated relationships between multiple metals exposure and fasting blood glucose by reproductive hormones in Chinese men. Environmental Pollution. 278. 116791–116791. 7 indexed citations
9.
Li, Longman, Lulu Huang, Xiaoyu Luo, et al.. (2020). Non-linear association of serum molybdenum and linear association of serum zinc with nonalcoholic fatty liver disease: Multiple-exposure and Mendelian randomization approach. The Science of The Total Environment. 720. 137655–137655. 27 indexed citations
10.
Ge, Xiaoting, Aimin Yang, Xiaoyu Luo, et al.. (2020). Sex-specific associations of plasma metals and metal mixtures with glucose metabolism: An occupational population-based study in China. The Science of The Total Environment. 760. 143906–143906. 46 indexed citations
11.
Chen, Xiang, Zhenfang Liu, Xiaoting Ge, et al.. (2020). Associations between manganese exposure and multiple immunological parameters in manganese-exposed workers healthy cohort. Journal of Trace Elements in Medicine and Biology. 59. 126454–126454. 17 indexed citations
12.
Luo, Xiaoyu, Zhenfang Liu, Xiaoting Ge, et al.. (2020). High manganese exposure decreased the risk of high triglycerides in workers: a cross-sectional study. BMC Public Health. 20(1). 874–874. 12 indexed citations
13.
Li, Longman, et al.. (2020). Associations Between Serum Multiple Metals Exposures and Metabolic Syndrome: a Longitudinal Cohort Study. Biological Trace Element Research. 199(7). 2444–2455. 13 indexed citations
14.
Li, Defu, Xiaoting Ge, Zhenfang Liu, et al.. (2019). Association between long-term occupational manganese exposure and bone quality among retired workers. Environmental Science and Pollution Research. 27(1). 482–489. 23 indexed citations
15.
Hou, Qingzhi, Lulu Huang, Xiaoting Ge, et al.. (2019). Associations between multiple serum metal exposures and low birth weight infants in Chinese pregnant women: A nested case-control study. Chemosphere. 231. 225–232. 31 indexed citations
16.
Li, Longman & Xiaobo Yang. (2018). The Essential Element Manganese, Oxidative Stress, and Metabolic Diseases: Links and Interactions. Oxidative Medicine and Cellular Longevity. 2018(1). 7580707–7580707. 436 indexed citations breakdown →
17.
Li, Longman. (2013). Epidemical Status of HIV/AIDS Among Commercial Sex Women in Low-grade Places in Nanning. 1 indexed citations
18.
Zeng, Xiaoyun, Shun Liu, Hongping Yu, et al.. (2012). DNA Repair Capacity, DNA-Strand Break Repair Gene Polymorphisms, and the Incidence of Hepatocellular Carcinoma in Southwestern Guangxi of China. DNA and Cell Biology. 31(8). 1384–1391. 23 indexed citations
19.
Li, Longman, Xiaoyun Zeng, Xuejiao Fan, et al.. (2010). [Association of XPC and XPG polymorphisms with the risk of hepatocellular carcinoma].. PubMed. 18(4). 271–5. 10 indexed citations
20.
Li, Longman. (2009). Correlation of polymorphism of DNA repair gene XRCC3 with susceptibility to hepatocellular carcinoma in regions of high HCC incidence rate in Guangxi. Zhonghua zhongliu fangzhi zazhi. 2 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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