Xiaoju Lv

430 citations
18 papers · 215 indexed · h-index 9
Topics
Antibiotic Resistance in Bacteria (14 papers)Antibiotics Pharmacokinetics and Efficacy (7 papers)Antibiotic Use and Resistance (6 papers)
Partner nations
ChinaUnited States

In The Last Decade

Xiaoju Lv

16 papers receiving 210 citations

Peers

Xiaoju Lv
Comparison fields: 5 of 59
  • Molecular Medicine 109
  • Epidemiology 92
  • Pharmacology 65
  • Applied Microbiology and Biotechnology 54
  • Microbiology 35
Replace Nicholas Rebold with:
Nicholas Rebold United States
Ali F. Aboklaish United Kingdom
Luigi Ronga Italy
Sophie Magréault France
Jinju Duan China
Galina Reshedko Russia
Jonathan C. Cho United States
Ahmad Nusair United States
Federica Sacco Italy
А В Дехнич Russia
Xiaoju Lv relative to Nicholas Rebold United States Nicholas Rebold's profile →
Citations per field
00.5×7.4×
Nicholas Rebold · 1×
Citations per year

Countries citing papers authored by Xiaoju Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoju Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoju Lv

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 10
6 5
7 16
8 3
9 12
10 8
11 16
12 10
13 61
14 4
15
Research progress on polymyxin resistance mediated by mcr-1
3
16
Biapenem versus meropenem in the treatment of bacterial infections: a multicenter, randomized, controlled clinical trial.
13
17
PCR versus serology for diagnosing Mycoplasma pneumoniae infection: a systematic review & meta-analysis.
51
18
Accumulation of ofloxacin and tosufloxacin in fluoroquinolone-resistant E coli.
1

About Xiaoju Lv

Xiaoju Lv is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Microbiology, having authored 18 papers that have together received 215 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Antibiotic Use and Resistance (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (54 citations), Molecular Medicine (109 citations) and Microbiology (35 citations). Xiaoju Lv has collaborated with scholars based in China and United States. Frequent co-authors include Junyan Qu, Yimei Huang, Yanbin Liu, Hui Ye, Zhiyong Zong, Huan Li, Xin Lü, Yuan-Fang Wang, Rujia Yu and Hui Ye. Their work appears in journals such as Frontiers in Microbiology, Emerging infectious diseases and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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