Xiaobo Li

2.1k total citations
22 papers, 1.3k citations indexed

About

Xiaobo Li is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Biochemistry. According to data from OpenAlex, Xiaobo Li has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Renewable Energy, Sustainability and the Environment and 5 papers in Biochemistry. Recurrent topics in Xiaobo Li's work include Photosynthetic Processes and Mechanisms (11 papers), Algal biology and biofuel production (9 papers) and Lipid metabolism and biosynthesis (5 papers). Xiaobo Li is often cited by papers focused on Photosynthetic Processes and Mechanisms (11 papers), Algal biology and biofuel production (9 papers) and Lipid metabolism and biosynthesis (5 papers). Xiaobo Li collaborates with scholars based in China, United States and Germany. Xiaobo Li's co-authors include Min‐Hao Kuo, Christoph Benning, Nina Ivanova, Martin C. Jonikas, Weronika Patena, Paul A. Lefebvre, Arthur Grossman, Ru Zhang, Jacob M. Robertson and Blair Bullard and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaobo Li

22 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobo Li China 12 961 766 180 128 110 22 1.3k
Oliver Mueller‐Cajar Singapore 25 1.3k 1.4× 492 0.6× 95 0.5× 59 0.5× 133 1.2× 35 1.5k
Alexandra Dubini United States 19 998 1.0× 1.4k 1.9× 39 0.2× 194 1.5× 205 1.9× 33 1.9k
Byeong‐ryool Jeong South Korea 24 1.3k 1.3× 1.1k 1.4× 66 0.4× 77 0.6× 69 0.6× 29 2.0k
Simone Zäuner United States 9 641 0.7× 511 0.7× 180 1.0× 182 1.4× 127 1.2× 10 884
Mio Ohnuma Japan 19 722 0.8× 335 0.4× 100 0.6× 76 0.6× 150 1.4× 45 939
Silvia Ramundo Switzerland 13 642 0.7× 365 0.5× 51 0.3× 42 0.3× 55 0.5× 17 802
Fumi Yagisawa Japan 18 921 1.0× 478 0.6× 59 0.3× 136 1.1× 233 2.1× 37 1.2k
Tasuku NAKAHARA Japan 14 544 0.6× 386 0.5× 129 0.7× 45 0.4× 64 0.6× 34 1.0k
Jens Appel Germany 27 1.7k 1.8× 1.2k 1.6× 34 0.2× 118 0.9× 315 2.9× 47 2.4k
Diego González‐Halphen Mexico 25 1.6k 1.7× 241 0.3× 33 0.2× 79 0.6× 186 1.7× 78 1.8k

Countries citing papers authored by Xiaobo Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Li. A scholar is included among the top collaborators of Xiaobo 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 Xiaobo Li. Xiaobo 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
1.
Li, Yuhong, et al.. (2025). Regulatory and retrograde signaling networks in the chlorophyll biosynthetic pathway. Journal of Integrative Plant Biology. 67(4). 887–911. 3 indexed citations
2.
Feng, Yue, et al.. (2025). Decreasing protein biotinylation background in a diatom facilitates proximity labeling of the periplastidial compartment proteome. The Plant Journal. 122(5). e70259–e70259. 1 indexed citations
3.
Li, Anjie, et al.. (2024). Structural basis for an early stage of the photosystem II repair cycle in Chlamydomonas reinhardtii. Nature Communications. 15(1). 5211–5211. 11 indexed citations
4.
Zhang, Jiahuan, et al.. (2024). A removable and cosmopolitan dsRNA Toti-like virus causes asymptomatic but productive infection in a model diatom strain. Algal Research. 79. 103491–103491. 2 indexed citations
5.
Xiong, Xiaofeng, et al.. (2024). A rapid aureochrome opto-switch enables diatom acclimation to dynamic light. Nature Communications. 15(1). 5578–5578. 11 indexed citations
6.
Song, Bin, Meimei Wang, Tingting You, et al.. (2024). GreenCut protein LPB1 is required for SQDG accumulation and optimal photosynthetic electron transfer from QA− to QB in Chlamydomonas reinhardtii. Algal Research. 79. 103456–103456. 1 indexed citations
7.
Chen, Yinjuan, Maxwell A. Ware, Lihan Zhang, et al.. (2023). An unexpected hydratase synthesizes the green light-absorbing pigment fucoxanthin. The Plant Cell. 35(8). 3053–3072. 24 indexed citations
8.
9.
Zhang, Jingyu, et al.. (2023). A chlorophyll c synthase widely co-opted by phytoplankton. Science. 382(6666). 92–98. 21 indexed citations
10.
Jin, Zeyu, Li Wan, Yuqi Zhang, et al.. (2022). Structure of a TOC-TIC supercomplex spanning two chloroplast envelope membranes. Cell. 185(25). 4788–4800.e13. 45 indexed citations
11.
Relucenti, Michela, Giuseppe Familiari, Orlando Donfrancesco, et al.. (2021). Microscopy Methods for Biofilm Imaging: Focus on SEM and VP-SEM Pros and Cons. Biology. 10(1). 51–51. 142 indexed citations
12.
Duren, Zhana, Yaling Wang, Jiguang Wang, et al.. (2019). Hierarchical graphical model reveals HFR1 bridging circadian rhythm and flower development in Arabidopsis thaliana. npj Systems Biology and Applications. 5(1). 28–28. 4 indexed citations
13.
Li, Xiaobo, Weronika Patena, Friedrich Fauser, et al.. (2019). A genome-wide algal mutant library and functional screen identifies genes required for eukaryotic photosynthesis. Nature Genetics. 51(4). 627–635. 187 indexed citations
14.
Li, Xiaobo & Martin C. Jonikas. (2016). High-Throughput Genetics Strategies for Identifying New Components of Lipid Metabolism in the Green Alga Chlamydomonas reinhardtii. Sub-cellular biochemistry. 86. 223–247. 2 indexed citations
15.
Li, Xiaobo, Witawas Handee, & Min‐Hao Kuo. (2016). The slim, the fat, and the obese: guess who lives the longest?. Current Genetics. 63(1). 43–49. 17 indexed citations
16.
Kong, Fantao, Tomohito Yamasaki, Liyuan Hou, et al.. (2015). Robust expression of heterologous genes by selection marker fusion system in improved Chlamydomonas strains. Journal of Bioscience and Bioengineering. 120(3). 239–245. 34 indexed citations
17.
Li, Xiaobo, Huijuan Lu, & Mingjun Wang. (2013). A Hybrid Gene Selection Method for Multi-category Tumor Classification using Microarray Data. SHILAP Revista de lepidopterología. 5 indexed citations
18.
Li, Xiaobo, Christoph Benning, & Min‐Hao Kuo. (2012). Rapid Triacylglycerol Turnover in Chlamydomonas reinhardtii Requires a Lipase with Broad Substrate Specificity. Eukaryotic Cell. 11(12). 1451–1462. 70 indexed citations
19.
Miller, Rachel E., Guangxi Wu, Rahul Deshpande, et al.. (2010). Changes in Transcript Abundance in Chlamydomonas reinhardtii following Nitrogen Deprivation Predict Diversion of Metabolism. PLANT PHYSIOLOGY. 154(4). 1737–1752. 413 indexed citations
20.
Tang, Beisha, Xiaohong Zi, Wei Luo, et al.. (2004). [Mutation analysis of ganglioside-induced differentiation associated protein-1 gene in Chinese Charcot-Marie-Tooth disease].. PubMed. 21(3). 207–10. 7 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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