Minna Lv

406 citations
36 papers · 257 · h-index 10

Impact in

    • Parasitic Infections and Diagnostics
    • Toxoplasma gondii Research Studies
    • Coccidia and coccidiosis research
    • Animal Nutrition and Physiology

Papers in

Minna Lv

32 papers receiving 251 citations

Peers

Minna Lv
Comparison fields: 5 of 40
  • Parasitology 125
  • Animal Science and Zoology 124
  • Small Animals 58
  • Infectious Diseases 85
  • Ecology, Evolution, Behavior and Systematics 31
Replace Nanshan Qi with:
Nanshan Qi China
Xuhui Lin China
Nuran Aysul Türkiye
Shola David Ola‐Fadunsin Nigeria
Reda E. Khalafalla Egypt
Yazmín Alcalá-Canto Mexico
Konstantinos V. Arsenopoulos Greece
Souvik Paul India
Khanh Linh Bui Vietnam
Ahmad Jawad Sabir United States
Minna Lv relative to Nanshan Qi China Nanshan Qi's profile →
Citations per field
00.5×1.5×
Nanshan Qi · 1×
Citations per year

Countries citing papers authored by Minna Lv

Since Specialization
Citations

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

Fields of papers citing papers by Minna Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minna 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 Minna Lv Line = papers co-authored together Minna Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201534
2 202022
3 202016
4 202215
5 201613
6 202213
7 202312
8 201510
9 202410
10 20129
11 20229
12 20239
13 20239
14 20188
15 20248
16 20218
17 20227
18 20197
19 20227
20 20235

About Minna Lv

Minna Lv is a scholar working on Animal Science and Zoology, Parasitology, Small Animals, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 36 papers that have together received 257 indexed citations. Recurring topics across this work include Coccidia and coccidiosis research (22 papers), Parasitic Infections and Diagnostics (17 papers), Animal Nutrition and Physiology (9 papers), Helminth infection and control (7 papers), Veterinary medicine and infectious diseases (6 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Reproductive tract infections research (4 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Parasitology (125 citations), Animal Science and Zoology (124 citations), Small Animals (58 citations), Infectious Diseases (85 citations) and Ecology, Evolution, Behavior and Systematics (31 citations). Minna Lv has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Nanshan Qi, Xuhui Lin, Mingfei Sun, Shenquan Liao, Haiming Cai, Longxian Zhang, Jianfei Zhang, Juan Li, Juan Li and Zhuanqiang Yan. Their work appears in journals such as Parasitology Research, Parasites & Vectors, Parasite, Frontiers in Veterinary Science and Scientific Reports.

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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