Xiaoxing Lv

425 total citations
9 papers, 338 citations indexed

About

Xiaoxing Lv is a scholar working on Surgery, Rehabilitation and Biomaterials. According to data from OpenAlex, Xiaoxing Lv has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Rehabilitation and 3 papers in Biomaterials. Recurrent topics in Xiaoxing Lv's work include Wound Healing and Treatments (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Hemostasis and retained surgical items (2 papers). Xiaoxing Lv is often cited by papers focused on Wound Healing and Treatments (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Hemostasis and retained surgical items (2 papers). Xiaoxing Lv collaborates with scholars based in China and United States. Xiaoxing Lv's co-authors include Wangzhou Li, Xueyong Li, Jinqing Li, Zhanjun Lei, Rong Huang, Hongjun Wang, Hongbing Deng, Yongqian Bian, Xueyong Li and Yuejun Li and has published in prestigious journals such as Biomaterials, Biochemical and Biophysical Research Communications and RSC Advances.

In The Last Decade

Xiaoxing Lv

9 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoxing Lv China	7	148	131	97	71	69	9	338
Wangzhou Li China	10	148 1.0×	132 1.0×	123 1.3×	60 0.8×	76 1.1×	19	452
Erin P. Sproul United States	9	100 0.7×	74 0.6×	76 0.8×	54 0.8×	64 0.9×	9	317
Seema Nandi United States	12	75 0.5×	81 0.6×	48 0.5×	94 1.3×	86 1.2×	16	320
Silvia Kull Italy	8	186 1.3×	50 0.4×	227 2.3×	54 0.8×	102 1.5×	9	425
Sevana Baghdasarian United States	8	118 0.8×	89 0.7×	113 1.2×	136 1.9×	101 1.5×	9	336
Elizabeth Damstetter United States	5	139 0.9×	224 1.7×	87 0.9×	12 0.2×	48 0.7×	6	353
Rong Nie China	12	142 1.0×	90 0.7×	149 1.5×	70 1.0×	165 2.4×	20	450
Riley T. Hannan United States	6	67 0.5×	28 0.2×	59 0.6×	74 1.0×	78 1.1×	11	307
Primana Punnakitikashem Thailand	9	382 2.6×	208 1.6×	127 1.3×	13 0.2×	179 2.6×	20	610
Johan Zuidema Netherlands	12	116 0.8×	23 0.2×	108 1.1×	24 0.3×	75 1.1×	21	375

Countries citing papers authored by Xiaoxing Lv

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoxing Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxing Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxing Lv. A scholar is included among the top collaborators of Xiaoxing Lv 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 Xiaoxing Lv. Xiaoxing Lv 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:

9 of 9 papers shown

1.

Lv, Xiaoxing, Meiru Zhao, Yuting Yi, et al.. (2017). Detection of Rare Mutations in CtDNA Using Next Generation Sequencing. Journal of Visualized Experiments. 19 indexed citations

2.

Lv, Xiaoxing, Meiru Zhao, Yuting Yi, et al.. (2017). Detection of Rare Mutations in CtDNA Using Next Generation Sequencing. Journal of Visualized Experiments. 4 indexed citations

3.

Zhao, Yuqian, Xueyong Li, Xiaoli Xu, et al.. (2016). Lumican alleviates hypertrophic scarring by suppressing integrin-FAK signaling. Biochemical and Biophysical Research Communications. 480(2). 153–159. 18 indexed citations

4.

Bian, Yongqian, Xinping Zhang, Yuejun Li, et al.. (2015). Wound-healing improvement by resurfacing split-thickness skin donor sites with thin split-thickness grafting. Burns. 42(1). 123–130. 19 indexed citations

5.

Huang, Rong, Wangzhou Li, Xiaoxing Lv, et al.. (2015). Biomimetic LBL structured nanofibrous matrices assembled by chitosan/collagen for promoting wound healing. Biomaterials. 53. 58–75. 149 indexed citations

6.

Li, Xueyong, Xiaolin Wang, Yuejun Li, et al.. (2015). Human acellular dermal matrix allograft: A randomized, controlled human trial for the long-term evaluation of patients with extensive burns. Burns. 41(4). 689–699. 31 indexed citations

7.

Zhang, Honghui, Xiaoxing Lv, Xinping Zhang, et al.. (2015). Antibacterial and hemostatic performance of chitosan–organic rectorite/alginate composite sponge. RSC Advances. 5(62). 50523–50531. 35 indexed citations

8.

Li, Jing, Wei Cao, Xiaoxing Lv, et al.. (2013). Zeolite-based hemostat QuikClot releases calcium into blood and promotes blood coagulation in vitro. Acta Pharmacologica Sinica. 34(3). 367–372. 58 indexed citations

9.

Li, Xueyong, Wangzhou Li, Xiaoxing Lv, et al.. (2007). [The influence of vacuum-assisted drainage on the growth of capillaries in the wound produced by explosion in pig].. PubMed. 23(4). 292–5. 5 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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