Han Luo

19 total papers · 473 total citations
12 papers, 362 citations indexed

About

Han Luo is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Han Luo has authored 12 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Surgery. Recurrent topics in Han Luo's work include Redox biology and oxidative stress (2 papers), Adenosine and Purinergic Signaling (2 papers) and Natural product bioactivities and synthesis (1 paper). Han Luo is often cited by papers focused on Redox biology and oxidative stress (2 papers), Adenosine and Purinergic Signaling (2 papers) and Natural product bioactivities and synthesis (1 paper). Han Luo collaborates with scholars based in China, United States and Canada. Han Luo's co-authors include Zhen Wang, Guangchao Xu, Dali Wang, Jianguo Chen, Fang Wang, Xiangliang Yang, Jianyong Sheng, Mengli Wang, Linlin Shi and Zhi Liu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Biological Psychiatry and Frontiers in Immunology.

In The Last Decade

Han Luo

11 papers receiving 360 citations

Hit Papers

Inflammatory Microenviron... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Han Luo 154 70 43 41 40 12 362
Yeli Zhao 154 1.0× 35 0.5× 25 0.6× 25 0.6× 51 1.3× 20 346
Jie-Tao He 99 0.6× 29 0.4× 28 0.7× 36 0.9× 36 0.9× 11 323
Mingqian Hao 154 1.0× 108 1.5× 26 0.6× 28 0.7× 14 0.3× 12 386
Mingying Luo 147 1.0× 46 0.7× 7 0.2× 49 1.2× 35 0.9× 21 373
Maíra Estanislau Soares de Almeida 94 0.6× 73 1.0× 22 0.5× 34 0.8× 19 0.5× 12 321
Wei Liu 101 0.7× 26 0.4× 92 2.1× 26 0.6× 27 0.7× 19 328
Thaís Alberti 43 0.3× 66 0.9× 25 0.6× 19 0.5× 30 0.8× 13 314
Kuo Yan 139 0.9× 14 0.2× 51 1.2× 20 0.5× 15 0.4× 7 353
Lynn Nazareth 81 0.5× 20 0.3× 42 1.0× 16 0.4× 59 1.5× 14 356
Ujjwal R. Dahiya 90 0.6× 19 0.3× 82 1.9× 16 0.4× 28 0.7× 19 337

Countries citing papers authored by Han Luo

Since Specialization
Citations

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

Fields of papers citing papers by Han Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Luo

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

All Works

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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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