Xiao Bao

415 total citations
10 papers, 103 citations indexed

About

Xiao Bao is a scholar working on Molecular Biology, Hematology and Physiology. According to data from OpenAlex, Xiao Bao has authored 10 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Physiology. Recurrent topics in Xiao Bao's work include Salivary Gland Disorders and Functions (3 papers), Inflammasome and immune disorders (2 papers) and Systemic Lupus Erythematosus Research (1 paper). Xiao Bao is often cited by papers focused on Salivary Gland Disorders and Functions (3 papers), Inflammasome and immune disorders (2 papers) and Systemic Lupus Erythematosus Research (1 paper). Xiao Bao collaborates with scholars based in China, United States and Australia. Xiao Bao's co-authors include Mao Yang, Bin Peng, Bing Ge, Paul Leo, John P. Kemp, Jonathan H. Tobias, Felicity Newell, George Davey Smith, Graham R. Williams and Matthew A. Brown and has published in prestigious journals such as Bone, Medicine and Microchemical Journal.

In The Last Decade

Xiao Bao

9 papers receiving 101 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiao Bao China	4	57	45	18	16	13	10	103
Laura M. Yerges-Armstrong United States	8	52 0.9×	17 0.4×	28 1.6×	26 1.6×	21 1.6×	13	147
Melissa M. Formosa Malta	7	31 0.5×	36 0.8×	9 0.5×	15 0.9×	9 0.7×	12	86
Nicholas Wang United States	3	63 1.1×	10 0.2×	9 0.5×	11 0.7×	18 1.4×	8	91
Wagner Antonio da Rosa Baratela Brazil	8	61 1.1×	62 1.4×	14 0.8×	9 0.6×	32 2.5×	14	153
Assen Goudev Bulgaria	4	37 0.6×	19 0.4×	12 0.7×	11 0.7×	12 0.9×	9	109
Li-Jun Tan China	4	65 1.1×	30 0.7×	7 0.4×	17 1.1×	14 1.1×	4	108
Xiang-Ding Chen China	3	77 1.4×	27 0.6×	7 0.4×	24 1.5×	13 1.0×	4	118
Dylan Aïssi France	6	115 2.0×	57 1.3×	14 0.8×	12 0.8×	14 1.1×	9	171
Moritz Reiterer United Kingdom	4	67 1.2×	27 0.6×	3 0.2×	12 0.8×	18 1.4×	7	135
Sharon Adamski United States	4	69 1.2×	32 0.7×	4 0.2×	13 0.8×	16 1.2×	5	143

Countries citing papers authored by Xiao Bao

Since Specialization

Citations

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

Fields of papers citing papers by Xiao Bao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Bao

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Zhang, Hongsheng, et al.. (2024). Transactivation DNA-binding protein–related genes were associated with salivary gland injury in primary Sjögren syndrome. Medicine. 103(39). e39827–e39827.

2.

Bao, Xiao, et al.. (2024). A leakage-resistant catalytic hairpin assembly for ultrasensitive detection of miRNA-146a in systemic lupus erythematosus. Microchemical Journal. 200. 110479–110479. 2 indexed citations

3.

Bao, Xiao, et al.. (2023). Uncovering potential new biomarkers and immune infiltration characteristics in primary Sjögren’s syndrome by integrated bioinformatics analysis. Medicine. 102(41). e35534–e35534. 1 indexed citations

4.

Bao, Xiao, et al.. (2023). Development and assessment of a predictive model for early diagnosis of rheumatoid arthritis in southwest China: A new nomogram. Medicine. 102(12). e33386–e33386. 1 indexed citations

5.

Bao, Xiao, et al.. (2022). Predicting bacterial infection risk in patients with ANCA-associated vasculitis in southwest China: development of a new nomogram. Clinical Rheumatology. 41(11). 3451–3460. 2 indexed citations

6.

Bao, Xiao, et al.. (2022). Bioinformatics analysis identified immune infiltration, risk and drug prediction models of copper-induced death genes involved in salivary glands damage of primary Sjögren’s syndrome. Medicine. 101(41). e31050–e31050. 4 indexed citations

7.

Yang, Hao, et al.. (2021). The value of anti-rods and rings antibodies in patients with nonhepatitis virus infection. Medicine. 100(20). e26026–e26026. 1 indexed citations

8.

Gregson, Celia L., Felicity Newell, Paul Leo, et al.. (2018). Genome-wide association study of extreme high bone mass: Contribution of common genetic variation to extreme BMD phenotypes and potential novel BMD-associated genes. Bone. 114. 62–71. 42 indexed citations

9.

Bao, Xiao, et al.. (2011). Association between Type 2 Diabetes and CDKN2A/B: a meta-analysis study. Molecular Biology Reports. 39(2). 1609–1616. 26 indexed citations

10.

Bao, Xiao, Bin Peng, & Mao Yang. (2011). Replication study of novel risk variants in six genes with type 2 diabetes and related quantitative traits in the Han Chinese lean individuals. Molecular Biology Reports. 39(3). 2447–2454. 24 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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