Xiaoli Lv

1.2k citations
50 papers · 839 · h-index 18

Impact in

    • Parasites and Host Interactions
    • Parasitic Infections and Diagnostics
    • Helminth infection and control

Papers in

Xiaoli Lv

48 papers receiving 832 citations

Peers

Xiaoli Lv
Comparison fields: 5 of 98
  • Parasitology 345
  • Small Animals 162
  • Biological Psychiatry 42
  • Ecology 203
  • Behavioral Neuroscience 22
Replace Katarzyna Donskow‐Łysoniewska with:
Katarzyna Donskow‐Łysoniewska Poland
Steven Sims United States
Jacob Bak Holm Denmark
Cecilia Fernández Uruguay
Lisa M. Alleva Australia
María Pilar Aoki Argentina
Christina Pettan-Brewer United States
José Clóvis do Prado Júnior Brazil
Eduardo Fernandes Bondan Brazil
Xiaoli Lv relative to Katarzyna Donskow‐Łysoniewska Poland Katarzyna Donskow‐Łysoniewska's profile →
Citations per field
00.5×4.3×
Katarzyna Donskow‐Łysoniewska · 1×
Citations per year

Countries citing papers authored by Xiaoli Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoli Lv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoli Lv Line = papers co-authored together Xiaoli Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011139
2 201863
3 201457
4 201147
5 202037
6 201137
7 202133
8 202233
9 201233
10 202229
11 201125
12 201125
13 202221
14 202219
15 201119
16 201419
17 201518
18 201217
19 201216
20 202214

About Xiaoli Lv

Xiaoli Lv is a scholar working on Parasitology, Molecular Biology, Nutrition and Dietetics, Ecology and Epidemiology, having authored 50 papers that have together received 839 indexed citations. Recurring topics across this work include Parasites and Host Interactions (12 papers), Trace Elements in Health (5 papers), Parasite Biology and Host Interactions (4 papers), Neurological diseases and metabolism (3 papers), Helminth infection and control (3 papers), Nanocluster Synthesis and Applications (3 papers), Advanced Nanomaterials in Catalysis (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Parasitology (345 citations), Small Animals (162 citations), Biological Psychiatry (42 citations), Ecology (203 citations) and Behavioral Neuroscience (22 citations). Xiaoli Lv has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xinbing Yu, Wenjun Chen, Xiaoyun Wang, Xuerong Li, Chi Liang, Yan Huang, Chuanhuan Deng, Jingtao Men, Jiufeng Sun and Xuchu Hu. Their work appears in journals such as Parasitology Research, Parasites & Vectors, Chemical Communications, Scientific Reports and Geomicrobiology Journal.

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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