Lihua Song

1.9k citations
64 papers · 1.3k indexed · 1 hit paper · h-index 19

Lihua Song

63 papers receiving 1.3k citations

Hit Papers

COVID-19 vaccine development: milestones, lessons and pro...254202220262023202450100150200250

Peers

Lihua Song
Comparison fields: 5 of 108
  • Microbiology 417
  • Infectious Diseases 430
  • Endocrinology 87
  • Molecular Medicine 73
  • Ecology 220
Replace Xiaoping An with:
Xiaoping An China
Michael L. Paustian United States
Juana del Valle-Mendoza Peru
José Luis Di Fábio United States
Merja Rantala Finland
Guillermo Madico United States
Edwin Swiatlo United States
P. Boisier Madagascar
Jason W. Rosch United States
Jo‐Anne R. Dillon Canada
Lihua Song relative to Xiaoping An China Xiaoping An's profile →
Citations per field
00.5×1.5×2.5×
Xiaoping An · 1×
Citations per year

Countries citing papers authored by Lihua Song

Since Specialization
Citations

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

Fields of papers citing papers by Lihua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202415
2 20241
3 20234
4 20231
5 202335
6 20233
7
COVID-19 vaccine development: milestones, lessons and prospectsbreakdown →
2022254
8 202221
9 202210
10 202220
11 20228
12 202111
13 20219
14 20173
15 20167
16 201539
17 20142
18 201310
19 20103
20 200724

About Lihua Song

Lihua Song is a scholar working on Microbiology, Endocrinology and Infectious Diseases, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (22 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Microbial infections and disease research (11 papers), Reproductive tract infections research (10 papers), COVID-19 Clinical Research Studies (7 papers), Genomics and Phylogenetic Studies (7 papers), Viral gastroenteritis research and epidemiology (7 papers) and Animal Virus Infections Studies (6 papers). The work is most often cited by research in Microbiology (417 citations), Infectious Diseases (430 citations) and Endocrinology (87 citations). Lihua Song has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Huahao Fan, Yigang Tong, Xiaoping An, Maochen Li, Lili Tian, Zehan Pang, Junfen Fan, Harlan D. Caldwell, William M. Whitmire and Gail L. Sturdevant. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Microbiology, Frontiers in Immunology, Frontiers in Cellular and Infection Microbiology and Archives of Virology.

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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