Mengda Liu

789 citations
37 papers · 585 · h-index 16

Impact in

Papers in

Mengda Liu

34 papers receiving 582 citations

Peers

Mengda Liu
Comparison fields: 5 of 68
  • Molecular Medicine 96
  • Animal Science and Zoology 148
  • Infectious Diseases 159
  • Agronomy and Crop Science 88
  • Pollution 76
Replace Jahangir Alam with:
Jahangir Alam Bangladesh
Eduardo de Freitas Costa Brazil
Elisabeth Erlacher-Vindel France
Øystein Angen Denmark
Sharmin Chowdhury Bangladesh
Lise‐Lotte Fernström Sweden
Nelson Morés Brazil
Sumon Ghosh Bangladesh
Noriko Goji Canada
Mesfin Mathewos Ethiopia
Mengda Liu relative to Jahangir Alam Bangladesh Jahangir Alam's profile →
Citations per field
00.5×3.0×
Jahangir Alam · 1×
Citations per year

Countries citing papers authored by Mengda Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mengda Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201044
2 201942
3 202240
4 202137
5 201937
6 202336
7 202232
8 202028
9 202227
10 202026
11 202024
12 201922
13 202219
14 202019
15 201518
16 202315
17 202015
18 201814
19 201914
20 201010

About Mengda Liu

Mengda Liu is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Small Animals and Pollution, having authored 37 papers that have together received 585 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (9 papers), Viral gastroenteritis research and epidemiology (6 papers), Salmonella and Campylobacter epidemiology (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Virus-based gene therapy research (6 papers), Brucella: diagnosis, epidemiology, treatment (5 papers), Herpesvirus Infections and Treatments (5 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Molecular Medicine (96 citations), Animal Science and Zoology (148 citations), Infectious Diseases (159 citations), Agronomy and Crop Science (88 citations) and Pollution (76 citations). Mengda Liu has collaborated with scholars based in China, Italy and Germany. Frequent co-authors include Fangkun Wang, Sidang Liu, Lanping Yu, Zifeng Han, Yingli Shang, Zixuan Li, Chenglian Feng, Peng Wang, Juan Pu and Yan Li. Their work appears in journals such as Poultry Science, Frontiers in Veterinary Science, Frontiers in Microbiology, Veterinary Microbiology and BMC Veterinary Research.

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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