Xinna Li

2.7k total citations · 1 hit paper
43 papers, 2.0k citations indexed

About

Xinna Li is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Xinna Li has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Immunology and 9 papers in Physiology. Recurrent topics in Xinna Li's work include Adipose Tissue and Metabolism (8 papers), Antimicrobial Peptides and Activities (7 papers) and Invertebrate Immune Response Mechanisms (7 papers). Xinna Li is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Antimicrobial Peptides and Activities (7 papers) and Invertebrate Immune Response Mechanisms (7 papers). Xinna Li collaborates with scholars based in United States, China and Austria. Xinna Li's co-authors include Dipika Gupta, Roman Dziarski, Richard A. Miller, Shiyong Wang, Jin Qi, Min Hui Wang, Xiaofeng Lu, Mu Wang, Minhui Wang and Z. Dave Sharp and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Immunity.

In The Last Decade

Xinna Li

40 papers receiving 2.0k citations

Hit Papers

The mechanism of ferroptosis and its related diseases 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinna Li United States 21 751 702 389 360 354 43 2.0k
Cheng–Yuan Kao Taiwan 21 781 1.0× 835 1.2× 343 0.9× 213 0.6× 149 0.4× 39 2.1k
Stephen K. Chapes United States 30 592 0.8× 366 0.5× 960 2.5× 64 0.2× 103 0.3× 99 2.2k
Donggi Paik United States 16 479 0.6× 938 1.3× 241 0.6× 83 0.2× 30 0.1× 19 2.1k
Michael A. Lonetto United States 16 264 0.4× 1.7k 2.5× 165 0.4× 169 0.5× 171 0.5× 17 2.8k
Benjamin Faustin France 25 1.1k 1.5× 2.4k 3.4× 293 0.8× 75 0.2× 91 0.3× 34 3.5k
Rui Zhou China 27 1.8k 2.4× 2.8k 3.9× 137 0.4× 128 0.4× 161 0.5× 77 5.1k
Ellen Kraig United States 24 639 0.9× 716 1.0× 213 0.5× 117 0.3× 203 0.6× 60 2.1k
Yinghui Li China 27 464 0.6× 1.5k 2.1× 500 1.3× 36 0.1× 71 0.2× 116 2.6k
Vivian Zhang United States 23 553 0.7× 853 1.2× 584 1.5× 84 0.2× 12 0.0× 52 2.4k
P. Benjamin Stranges United States 7 606 0.8× 2.7k 3.8× 317 0.8× 151 0.4× 21 0.1× 7 3.5k

Countries citing papers authored by Xinna Li

Since Specialization
Citations

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

Fields of papers citing papers by Xinna Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinna Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xinna Li. A scholar is included among the top collaborators of Xinna 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 Xinna Li. Xinna 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.
D, Sun, Bing Hu, Xinna Li, Ping Yang, & Guohua Yu. (2024). Case report: A rare low-grade fumarate hydratase-deficient renal cell carcinoma. Frontiers in Oncology. 14.
3.
Chang, Peter S., et al.. (2023). Recapitulation of anti-aging phenotypes by global overexpression of PTEN in mice. GeroScience. 46(2). 2653–2670. 8 indexed citations
4.
Miller, Richard A., Xinna Li, & Gonzalo G. Garcia. (2023). Aging Rate Indicators: Speedometers for Aging Research in Mice. PubMed. 1(1). 20230003–20230003. 5 indexed citations
6.
Feng, Shijian, Dan Tang, Yichang Wang, et al.. (2023). The mechanism of ferroptosis and its related diseases. Molecular Biomedicine. 4(1). 33–33. 106 indexed citations breakdown →
7.
Li, Xinna, et al.. (2022). Recapitulation of anti-aging phenotypes by global, but not by muscle-specific, deletion of PAPP-A in mice. GeroScience. 45(2). 931–948. 8 indexed citations
8.
Pabis, Kamil, Ylenia Chiari, Claudia Sala, et al.. (2021). Elevated metallothionein expression in long-lived species mediates the influence of cadmium accumulation on aging. GeroScience. 43(4). 1975–1993. 9 indexed citations
9.
Li, Xinna, Le Wang, Chen Chen, et al.. (2018). Development of a reverse transcription recombinase-aided amplification assay for the detection of coxsackievirus A10 and coxsackievirus A6 RNA. Archives of Virology. 163(6). 1455–1461. 34 indexed citations
10.
Li, Weiquan, Xinna Li, & Richard A. Miller. (2014). ATF 4 activity: a common feature shared by many kinds of slow‐aging mice. Aging Cell. 13(6). 1012–1018. 54 indexed citations
11.
Miller, Richard A., David E. Harrison, Clinton M. Astle, et al.. (2013). Rapamycin‐mediated lifespan increase in mice is dose and sex dependent and metabolically distinct from dietary restriction. Aging Cell. 13(3). 468–477. 430 indexed citations
12.
Han, Xin, Beihua Cong, Xinna Li, & Lili Han. (2013). Effect Analysis of Fans Activating Time on Smoke Control Mode for Road Tunnel Fire. Research Journal of Applied Sciences Engineering and Technology. 5(13). 3571–3575. 1 indexed citations
13.
He, Yongqun, Rebecca Racz, Yu Lin, et al.. (2013). Updates on the web-based VIOLIN vaccine database and analysis system. Nucleic Acids Research. 42(D1). D1124–D1132. 59 indexed citations
14.
Saha, Sukumar, Xuefang Jing, Shin Yong Park, et al.. (2010). Peptidoglycan Recognition Proteins Protect Mice from Experimental Colitis by Promoting Normal Gut Flora and Preventing Induction of Interferon-γ. Cell Host & Microbe. 8(2). 147–162. 108 indexed citations
15.
Saha, Sukumar, Jin Qi, Shiyong Wang, et al.. (2009). PGLYRP-2 and Nod2 Are Both Required for Peptidoglycan-Induced Arthritis and Local Inflammation. Cell Host & Microbe. 5(2). 137–150. 84 indexed citations
16.
Wang, Min Hui, Shiyong Wang, Xinna Li, et al.. (2007). Human Peptidoglycan Recognition Proteins Require Zinc to Kill Both Gram-Positive and Gram-Negative Bacteria and Are Synergistic with Antibacterial Peptides. The Journal of Immunology. 178(5). 3116–3125. 103 indexed citations
17.
Li, Xinna, Shiyong Wang, Jin Qi, et al.. (2007). Zebrafish Peptidoglycan Recognition Proteins Are Bactericidal Amidases Essential for Defense against Bacterial Infections. Immunity. 27(3). 518–529. 119 indexed citations
18.
Li, Xinna, et al.. (2006). Differential Expression of Peptidoglycan Recognition Protein 2 in the Skin and Liver Requires Different Transcription Factors. Journal of Biological Chemistry. 281(30). 20738–20748. 31 indexed citations
19.
Lu, Xiaofeng, Minhui Wang, Jin Qi, et al.. (2005). Peptidoglycan Recognition Proteins Are a New Class of Human Bactericidal Proteins. Journal of Biological Chemistry. 281(9). 5895–5907. 187 indexed citations
20.
Yu, Bingzhi, Yajie Wang, Ying Liu, et al.. (2004). Protein kinase A regulates cell cycle progression of mouse fertilized eggs by means of MPF. Developmental Dynamics. 232(1). 98–105. 17 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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