Linru Wang

472 citations
8 papers · 373 · h-index 7

Impact in

Papers in

    • RNA and protein synthesis mechanisms 2
    • Insect Resistance and Genetics 1
    • Listeria monocytogenes in Food Safety 4
    • Microbial Inactivation Methods 2

Linru Wang

8 papers receiving 369 citations

Peers

Linru Wang
Comparison fields: 5 of 43
  • Molecular Medicine 45
  • Infectious Diseases 117
  • Endocrinology 33
  • Biotechnology 52
  • Genetics 118
Replace Cristina Colomer‐Winter with:
Cristina Colomer‐Winter United States
Sarah E. Peters United Kingdom
Eric Oswald France
Dongshu Wang China
Lisa Kuechenmeister United States
Erin M. Vasicek United States
Bo Youn Moon South Korea
Jun Kurushima Japan
Mongkol Vesaratchavest Thailand
J. Paul Norton United States
Linru Wang relative to Cristina Colomer‐Winter United States Cristina Colomer‐Winter's profile →
Citations per field
00.5×3.5×
Cristina Colomer‐Winter · 1×
Citations per year

Countries citing papers authored by Linru Wang

Since Specialization
Citations

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

Fields of papers citing papers by Linru Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Linru Wang, 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 Linru Wang Line = papers co-authored together Linru Wang links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2010187
2 2008100
3 200840
4 200617
5 202213
6 20077
7 20176
8 20193

About Linru Wang

Linru Wang is a scholar working on Molecular Biology, Biotechnology, Food Science, Endocrinology and Infectious Diseases, having authored 8 papers that have together received 373 indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (4 papers), Microbial Inactivation Methods (2 papers), Salmonella and Campylobacter epidemiology (2 papers), RNA and protein synthesis mechanisms (2 papers), Tuberculosis Research and Epidemiology (1 paper), Mycobacterium research and diagnosis (1 paper), Vibrio bacteria research studies (1 paper) and Insect Resistance and Genetics (1 paper). The work is most often cited by research in Molecular Medicine (45 citations), Infectious Diseases (117 citations), Endocrinology (33 citations), Biotechnology (52 citations) and Genetics (118 citations). Linru Wang has collaborated with scholars based in Canada, China and Tanzania. Frequent co-authors include Jun Liu, William Wiley Navarre, Blair R. G. Gordon, Min Lin, Anna Sintsova, Songhai Tian, Yifei Li, Harm van Bakel, Qiang Li and Zhaowei Wang. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Microbiology, Biochemical and Biophysical Research Communications and Pakistan Journal of Medical Sciences.

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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