Fangli Lü

2.2k citations
73 papers · 1.7k · h-index 26

Impact in

  • Parasitology top 0.5%
    • Toxoplasma gondii Research Studies
    • Parasites and Host Interactions
    • Parasitic Infections and Diagnostics
  • Virology top 5%

Papers in

    • Toxoplasma gondii Research Studies 34
    • Parasites and Host Interactions 14
    • Parasitic Infections and Diagnostics 13
    • Galectins and Cancer Biology 14

Fangli Lü

72 papers receiving 1.7k citations

Peers

Fangli Lü
Comparison fields: 5 of 106
  • Parasitology 921
  • Virology 122
  • Immunology 417
  • Epidemiology 536
  • Small Animals 97
Replace Oscar Bruña–Romero with:
Oscar Bruña–Romero Brazil
Tiago Wilson Patriarca Mineo Brazil
Daniel Gold Israel
Valéria Marçal Felix de Lima Brazil
Pengtao Gong China
B Fortier France
Carmen M. Collazo United States
Alessandra Ciervo Italy
Pramuan Tapchaisri Thailand
Magali Moretto United States
Fangli Lü relative to Oscar Bruña–Romero Brazil Oscar Bruña–Romero's profile →
Citations per field
00.5×1.5×1.9×
Oscar Bruña–Romero · 1×
Citations per year

Countries citing papers authored by Fangli Lü

Since Specialization
Citations

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

Fields of papers citing papers by Fangli Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013110
2 2007103
3 201691
4 200883
5 201258
6 201255
7 201454
8 201454
9 201746
10 200745
11 201839
12 200738
13 201337
14 201235
15 200934
16 201232
17 200432
18 200331
19 201830
20 200530

About Fangli Lü

Fangli Lü is a scholar working on Parasitology, Immunology, Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (34 papers), Galectins and Cancer Biology (14 papers), Parasites and Host Interactions (14 papers), Herpesvirus Infections and Treatments (13 papers), Parasitic Infections and Diagnostics (13 papers), Cytomegalovirus and herpesvirus research (13 papers), Malaria Research and Control (9 papers) and Helminth infection and control (6 papers). The work is most often cited by research in Parasitology (921 citations), Virology (122 citations), Immunology (417 citations), Epidemiology (536 citations) and Small Animals (97 citations). Fangli Lü has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shiguang Huang, Xin‐zhuan Su, Zhao‐Rong Lun, Lloyd H. Kasper, Bo Huang, Jilong Shen, Xuchu Hu, Xinbing Yu, Huanqin Zheng and Zhongdao Wu. Their work appears in journals such as Parasitology Research, Frontiers in Immunology, Parasites & Vectors, PLoS ONE and Acta Tropica.

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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