Le Zhao

2.5k citations
93 papers · 1.7k · h-index 28

Impact in

    • Antimicrobial Peptides and Activities
    • Plant biochemistry and biosynthesis
    • Plant tissue culture and regeneration
    • Microbial Metabolic Engineering and Bioproduction

Papers in

Le Zhao

85 papers receiving 1.6k citations

Peers

Le Zhao
Comparison fields: 5 of 136
  • Microbiology 88
  • Molecular Biology 933
  • Pharmacology 74
  • Biochemistry 47
  • Pharmacology 124
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Wenliang Pan China
Xiaojun Yao Macao
Md. Nurul Haque Mollah Bangladesh
Hojung Nam South Korea
Kejun Deng China
Kwang‐Il Park South Korea
Heng Luo China
Wanwipa Vongsangnak Thailand
Anwar Rayan Israel
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Citations per field
00.5×1.5×
Wenliang Pan · 1×
Citations per year

Countries citing papers authored by Le Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Le Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201178
2 201373
3 201266
4 201261
5
Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction
201356
6 201956
7 201955
8 201346
9 201044
10 202143
11 201643
12 201043
13 201842
14 202041
15 201241
16 201939
17 201336
18 201733
19 201932
20 202132

About Le Zhao

Le Zhao is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Information Systems and Oncology, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers), Plant biochemistry and biosynthesis (9 papers), Information Retrieval and Search Behavior (8 papers), Plant Stress Responses and Tolerance (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Cardiac Ischemia and Reperfusion (5 papers). The work is most often cited by research in Microbiology (88 citations), Molecular Biology (933 citations), Pharmacology (74 citations), Biochemistry (47 citations) and Pharmacology (124 citations). Le Zhao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jamie Callan, Jacqueline V. Shanks, Weisheng Feng, Xiaoke Zheng, Wuyuan Lu, Changyou Zhan, Junfeng Xia, Yongguang Han, Xueji Wu and Marzena Pazgier. Their work appears in journals such as Molecules, International Journal of Molecular Sciences, Briefings in Bioinformatics, Biotechnology and Bioengineering and Biomedicine & Pharmacotherapy.

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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