Xiaoni Liu

1.0k total citations
21 papers, 803 citations indexed

About

Xiaoni Liu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Xiaoni Liu has authored 21 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Surgery. Recurrent topics in Xiaoni Liu's work include Diabetes Treatment and Management (7 papers), Pancreatic function and diabetes (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Xiaoni Liu is often cited by papers focused on Diabetes Treatment and Management (7 papers), Pancreatic function and diabetes (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Xiaoni Liu collaborates with scholars based in China, United States and Germany. Xiaoni Liu's co-authors include Frank LaCreta, David W. Boulton, Sreeneeranj Kasichayanula, Steven C. Griffen, Marc Pfister, Marcus Hompesch, Bruce R. Leslie, Ralph A. DeFronzo, Linda Morrow and Ying Hong and has published in prestigious journals such as Diabetes Care, International Journal of Pharmaceutics and Clinical Pharmacokinetics.

In The Last Decade

Xiaoni Liu

19 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoni Liu China 11 600 355 319 107 93 21 803
Yuka Hayashizaki Japan 8 588 1.0× 317 0.9× 299 0.9× 70 0.7× 57 0.6× 9 750
Liru Qiu China 11 229 0.4× 209 0.6× 236 0.7× 47 0.4× 245 2.6× 32 712
Motoshi Ouchi Japan 18 264 0.4× 183 0.5× 238 0.7× 35 0.3× 256 2.8× 58 846
Tomohiko Kanaoka Japan 17 226 0.4× 119 0.3× 142 0.4× 64 0.6× 147 1.6× 51 706
Lihua Ni China 12 200 0.3× 113 0.3× 390 1.2× 32 0.3× 125 1.3× 39 828
P Segal Israel 17 351 0.6× 245 0.7× 211 0.7× 44 0.4× 27 0.3× 33 908
Sara Simonelli Italy 17 423 0.7× 515 1.5× 200 0.6× 15 0.1× 71 0.8× 28 884
Xiaojun Zhou China 16 136 0.2× 149 0.4× 269 0.8× 23 0.2× 52 0.6× 69 708

Countries citing papers authored by Xiaoni Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoni Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoni Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoni Liu. A scholar is included among the top collaborators of Xiaoni Liu 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 Xiaoni Liu. Xiaoni Liu 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.
2.
Dong, Siqi, et al.. (2025). Prognostic Value of Cerebrospinal Fluid and Serum Neurofilament Light Chain in Amyotrophic Lateral Sclerosis: A Correlation Study. Brain and Behavior. 15(1). e70256–e70256. 1 indexed citations
3.
Wang, Jingguo, Jingjie Ge, Bo Deng, et al.. (2025). Microglial Activation Visualized by [18F]‐DPA714 PET Is a Potential Marker of Severity and Prognosis for Anti‐LGI1 Encephalitis. European Journal of Neurology. 32(3). e70107–e70107. 2 indexed citations
4.
Wu, Wanqing, Bo Deng, Xiaoni Liu, et al.. (2025). Concomitant Sjögren’s disease in patients with NMOSD: impacts on neurologic disease severity and recurrence. Arthritis Research & Therapy. 27(1). 78–78.
5.
Xie, Zuoquan, Qinming Zhou, Lu He, et al.. (2024). Integrated omics profiling reveals systemic dysregulation and potential biomarkers in the blood of patients with neuromyelitis optica spectrum disorders. Journal of Translational Medicine. 22(1). 989–989. 2 indexed citations
6.
7.
He, Xue, Xiaoni Liu, Ping Yang, et al.. (2023). High trophinin-associated protein expression predicts good survival in acute myeloid leukemia with normal cytogenetics. Cancer Biomarkers. 36(3). 221–230. 1 indexed citations
8.
Zhang, Weilong, Xiaoni Liu, Ping Yang, et al.. (2022). Global characterization of megakaryocytes in bone marrow, peripheral blood, and cord blood by single-cell RNA sequencing. Cancer Gene Therapy. 29(11). 1636–1647. 11 indexed citations
9.
Deng, Bo, Hai Yu, Xiaoni Liu, et al.. (2019). Reduced dosage rituximab in the treatment of anti-N-methyl-d-aspartate receptor encephalitis: An observation study in Chinese patients. Journal of Neuroimmunology. 330. 81–86. 10 indexed citations
10.
Liu, Xiaoni, Ying Wang, Taotao Li, & Xiaomin Ma. (2018). Association between angiotensin converting enzyme gene rs4353 polymorphism and diabetic microangiopathy. 38(3). 149–153. 1 indexed citations
11.
Deng, Bo, Xiaoni Liu, Xiang Li, et al.. (2017). Raised cerebrospinal fluid BAFF and APRIL levels in anti-N-methyl-d-aspartate receptor encephalitis: Correlation with clinical outcome. Journal of Neuroimmunology. 305. 84–91. 17 indexed citations
12.
LaCreta, Frank, et al.. (2016). Bioequivalence and food effect of heat-stressed and nonheat-stressed dapagliflozin 2.5- and 10-mg tablets. International Journal of Pharmaceutics. 511(1). 288–295. 5 indexed citations
13.
Honczarenko, Marek, Sean X. Zhang, Catherine Fleener, et al.. (2016). Pharmacokinetic, Pharmacodynamic, and Safety Profile of a Novel Anti-CD28 Domain Antibody Antagonist in Healthy Subjects. The Journal of Clinical Pharmacology. 57(2). 161–172. 35 indexed citations
14.
Liu, Xiaoni & C.W. Reiss. (2015). A Multifaceted Battle Against Cancer.. PubMed. 88(2). 105–6. 1 indexed citations
15.
Li, Yang, Haiyan Li, Hongmei Li, et al.. (2013). Pharmacokinetic and Pharmacodynamic Properties of Single- and Multiple-Dose of Dapagliflozin, a Selective Inhibitor of SGLT2, in Healthy Chinese Subjects. Clinical Therapeutics. 35(8). 1211–1222.e2. 36 indexed citations
16.
Kasichayanula, Sreeneeranj, Xiaoni Liu, Frank LaCreta, Steven C. Griffen, & David W. Boulton. (2013). Clinical Pharmacokinetics and Pharmacodynamics of Dapagliflozin, a Selective Inhibitor of Sodium-Glucose Co-transporter Type 2. Clinical Pharmacokinetics. 53(1). 17–27. 204 indexed citations
17.
DeFronzo, Ralph A., Marcus Hompesch, Sreeneeranj Kasichayanula, et al.. (2013). Characterization of Renal Glucose Reabsorption in Response to Dapagliflozin in Healthy Subjects and Subjects With Type 2 Diabetes. Diabetes Care. 36(10). 3169–3176. 234 indexed citations
18.
Kasichayanula, Sreeneeranj, Ming Chang, Xiaoni Liu, et al.. (2012). Lack of Pharmacokinetic Interactions Between Dapagliflozin and Simvastatin, Valsartan, Warfarin, or Digoxin. Advances in Therapy. 29(2). 163–177. 52 indexed citations
19.
Kasichayanula, Sreeneeranj, Xiaoni Liu, Weijiang Zhang, et al.. (2011). Influence of Hepatic Impairment on the Pharmacokinetics and Safety Profile of Dapagliflozin: An Open-Label, Parallel-Group, Single-Dose Study. Clinical Therapeutics. 33(11). 1798–1808. 71 indexed citations
20.
Yue, Wenbin, Youshe Ren, Chunxiang Zhang, et al.. (2011). Improved fetal hair follicle development by maternal supplement of selenium at nano size (Nano-Se). Livestock Science. 142(1-3). 270–275. 20 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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