Lin Zhao

4.4k citations
79 papers · 1.9k indexed · 1 hit paper · h-index 21

Impact in

Papers in

Lin Zhao

72 papers receiving 1.8k citations

Hit Papers

The advantages of using traditional Chinese medicine as an adjunctive therapy in the whole course of cancer treatment instead of only terminal stage of cancer 2015 · 359 citations
3590+3+7Years since publication100200300

Peers

Lin Zhao
Comparison fields: 5 of 163
  • Parasitology 162
  • Pharmacology 137
  • Complementary and alternative medicine 127
  • Toxicology 52
  • Modeling and Simulation 61
Replace Upadhyayula Suryanarayana Murty with:
Upadhyayula Suryanarayana Murty India
Khalid J. Alzahrani Saudi Arabia
Xia Li China
Jian Chen China
Ambika Sharma India
Lei Qiao China
Mingming Liu China
Ayşe Başak Engin Türkiye
Md Asiful Islam Malaysia
Nadin Younes Qatar
Lin Zhao relative to Upadhyayula Suryanarayana Murty India Upadhyayula Suryanarayana Murty's profile →
Citations per field
00.5×6.5×
Upadhyayula Suryanarayana Murty · 1×
Citations per year

Countries citing papers authored by Lin Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The advantages of using traditional Chinese medicine as an adjunctive therapy in the whole course of cancer treatment instead of only terminal stage of cancer
Hit paper breakdown →
2015359
2 2018134
3 2010121
4 2020103
5 2015100
6 201882
7 202061
8 201959
9 201747
10 201442
11 201740
12 201540
13 202037
14 201834
15 202030
16 201427
17 201523
18 201122
19 201720
20 202020

About Lin Zhao

Lin Zhao is a scholar working on Infectious Diseases, Parasitology, Molecular Biology, Health, Toxicology and Mutagenesis and Modeling and Simulation, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (14 papers), Viral Infections and Vectors (14 papers), COVID-19 epidemiological studies (8 papers), Obsessive-Compulsive Spectrum Disorders (6 papers), Vector-Borne Animal Diseases (6 papers), Insect symbiosis and bacterial influences (5 papers), Air Quality and Health Impacts (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Parasitology (162 citations), Pharmacology (137 citations), Complementary and alternative medicine (127 citations), Toxicology (52 citations) and Modeling and Simulation (61 citations). Lin Zhao has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Fanghua Qi, Zhixue Wang, Anyuan Li, Junqing Han, Bo Zhang, Zhangjian Chen, Yun Wang, Pingping Cai, Wu‐Chun Cao and Lin Zhuo. Their work appears in journals such as BioScience Trends, Toxicology Letters, Vector-Borne and Zoonotic Diseases, International Journal of Environmental Research and Public Health and BMJ Open.

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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