Xiaohu Mei

649 total citations
16 papers, 534 citations indexed

About

Xiaohu Mei is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xiaohu Mei has authored 16 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Surgery and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xiaohu Mei's work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Lipoproteins and Cardiovascular Health (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Xiaohu Mei is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Lipoproteins and Cardiovascular Health (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Xiaohu Mei collaborates with scholars based in United States and Australia. Xiaohu Mei's co-authors include David Atkinson, Olga Gursky, Madhurima Das, Haya Herscovitz, Thomas E. Wales, Christopher J. Wilson, John R. Engen, Shobini Jayaraman, Jere P. Segrest and Irina N. Gorshkova and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Xiaohu Mei

16 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohu Mei United States 12 358 213 184 113 75 16 534
J. Nicholas Maiorano United States 14 441 1.2× 332 1.6× 203 1.1× 42 0.4× 165 2.2× 17 657
Angela D. Irwin United States 11 240 0.7× 108 0.5× 89 0.5× 63 0.6× 19 0.3× 11 507
Daniel LaSala United States 11 202 0.6× 58 0.3× 126 0.7× 50 0.4× 50 0.7× 17 454
Victoria R. Cook United States 12 221 0.6× 199 0.9× 196 1.1× 35 0.3× 22 0.3× 14 518
Sudichhya Shrestha Australia 10 158 0.4× 136 0.6× 101 0.5× 34 0.3× 18 0.2× 11 366
Van N. Michalek United States 11 338 0.9× 127 0.6× 33 0.2× 100 0.9× 49 0.7× 20 598
Olgica Trenchevska United States 17 361 1.0× 77 0.4× 123 0.7× 19 0.2× 37 0.5× 24 559
C.Y. Yang United States 10 172 0.5× 133 0.6× 77 0.4× 17 0.2× 32 0.4× 11 332
Noah Post United States 10 440 1.2× 43 0.2× 41 0.2× 60 0.5× 24 0.3× 11 547
Diane M. Durbin United States 9 180 0.5× 258 1.2× 212 1.2× 15 0.1× 37 0.5× 9 399

Countries citing papers authored by Xiaohu Mei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohu Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohu Mei

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

All Works

16 of 16 papers shown
1.
Gorshkova, Irina N., et al.. (2022). Human apoA-I[Lys107del] mutation affects lipid surface behavior of apoA-I and its ability to form large nascent HDL. Journal of Lipid Research. 64(2). 100319–100319. 1 indexed citations
2.
Liu, Minjing, Xiaohu Mei, Haya Herscovitz, & David Atkinson. (2018). N-terminal mutation of apoA-I and interaction with ABCA1 reveal mechanisms of nascent HDL biogenesis. Journal of Lipid Research. 60(1). 44–57. 21 indexed citations
3.
Melchior, John, Ryan G. Walker, Jamie Morris, et al.. (2017). A consensus model of human apolipoprotein A-I in its monomeric and lipid-free state. Nature Structural & Molecular Biology. 24(12). 1093–1099. 52 indexed citations
4.
Gorshkova, Irina N., Xiaohu Mei, & David Atkinson. (2017). Arginine 123 of apolipoprotein A-I is essential for lecithin:cholesterol acyltransferase activity. Journal of Lipid Research. 59(2). 348–356. 12 indexed citations
5.
Mei, Xiaohu, Mingjing Liu, Haya Herscovitz, & David Atkinson. (2016). Probing the C-terminal domain of lipid-free apoA-I demonstrates the vital role of the H10B sequence repeat in HDL formation. Journal of Lipid Research. 57(8). 1507–1517. 17 indexed citations
6.
Das, Madhurima, Christopher J. Wilson, Xiaohu Mei, et al.. (2016). Structural stability and local dynamics in disease-causing mutants of human apolipoprotein a-I: what makes the protein amyloidogenic?. Amyloid. 24(sup1). 11–12. 14 indexed citations
7.
Mei, Xiaohu & David Atkinson. (2015). Lipid-free Apolipoprotein A-I Structure: Insights into HDL Formation and Atherosclerosis Development. Archives of Medical Research. 46(5). 351–360. 55 indexed citations
8.
Das, Madhurima, Christopher J. Wilson, Xiaohu Mei, et al.. (2015). Structural Stability and Local Dynamics in Disease-Causing Mutants of Human Apolipoprotein A-I: What Makes the Protein Amyloidogenic?. Journal of Molecular Biology. 428(2). 449–462. 38 indexed citations
9.
Das, Madhurima, Xiaohu Mei, Shobini Jayaraman, David Atkinson, & Olga Gursky. (2014). Amyloidogenic mutations in human apolipoprotein AI are not necessarily destabilizing – a common mechanism of apolipoprotein AI misfolding in familial amyloidosis and atherosclerosis. FEBS Journal. 281(11). 2525–2542. 42 indexed citations
10.
Gorshkova, Irina N., Xiaohu Mei, & David Atkinson. (2014). Binding of human apoA-I[K107del] variant to TG-rich particles: implications for mechanisms underlying hypertriglyceridemia. Journal of Lipid Research. 55(9). 1876–1885. 8 indexed citations
11.
Gursky, Olga, Martin K. Jones, Xiaohu Mei, Jere P. Segrest, & David Atkinson. (2013). Structural basis for distinct functions of the naturally occurring Cys mutants of human apolipoprotein A-I. Journal of Lipid Research. 54(12). 3244–3257. 19 indexed citations
12.
Wang, Libo, Xiaohu Mei, David Atkinson, & Donald Small. (2013). Surface behavior of apolipoprotein A-I and its deletion mutants at model lipoprotein interfaces. Journal of Lipid Research. 55(3). 478–492. 17 indexed citations
13.
Mei, Xiaohu & David Atkinson. (2013). Probing the Structure and Function of ApoA‐I C‐terminal Domain during HDL Formation. The FASEB Journal. 27(S1). 1 indexed citations
14.
Mei, Xiaohu & David Atkinson. (2012). DETERMINING THE FOLDING DOMAIN OF LIPID FREE APOA-I IN SOLUTION BY MUTATION†. Heart. 98(Suppl 2). E273.3–E275. 1 indexed citations
15.
Mei, Xiaohu & David Atkinson. (2011). Crystal Structure of C-terminal Truncated Apolipoprotein A-I Reveals the Assembly of High Density Lipoprotein (HDL) by Dimerization. Journal of Biological Chemistry. 286(44). 38570–38582. 174 indexed citations
16.
Gursky, Olga, Xiaohu Mei, & David Atkinson. (2011). The Crystal Structure of the C-Terminal Truncated Apolipoprotein A-I Sheds New Light on Amyloid Formation by the N-Terminal Fragment. Biochemistry. 51(1). 10–18. 62 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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