Xiaowen Lu

82 papers receiving 2.1k citations

Xiaowen Lu's Hit Papers

antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification 2017 · 927 citations
9270+3+6Years since publication250500750

Peers

Xiaowen Lu
Comparison fields: 5 of 135
  • Pharmacology 563
  • Biotechnology 176
  • Microbiology 12
  • Molecular Biology 956
  • Biological Psychiatry 22
Replace Fang Peng with:
Fang Peng China
Iekhsan Othman Malaysia
Muhammad Imran Naseer Saudi Arabia
Giselda Bucca United Kingdom
Kitty Verhoeckx Netherlands
Chong Li China
Luz Romero United States
Klaus Eschrich Germany
Hironori Aramaki Japan
Martin L. Pall United States
Xiaowen Lu relative to Fang Peng China Fang Peng's profile →
Citations per field
00.5×3.1×
Fang Peng · 1×
Citations per year

Countries citing papers authored by Xiaowen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification
Hit paper breakdown →
2017927
2 200363
3 201651
4 201447
5 201045
6 201541
7 202037
8 202137
9 200935
10 202133
11 201932
12 201530
13 199830
14 201327
15 202027
16 202026
17 199626
18 201924
19 201523
20 201722

About Xiaowen Lu

Xiaowen Lu is a scholar working on Molecular Biology, Cognitive Neuroscience, Pharmacology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), Ocular Surface and Contact Lens (9 papers), Child Abuse and Trauma (6 papers), Treatment of Major Depression (6 papers), Corneal Surgery and Treatments (5 papers), Connexins and lens biology (4 papers), Aquaculture disease management and microbiota (4 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Pharmacology (563 citations), Biotechnology (176 citations), Microbiology (12 citations), Molecular Biology (956 citations) and Biological Psychiatry (22 citations). Xiaowen Lu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Mitchell A. Watsky, Marc G. Chevrette, Marnix H. Medema, Tilmann Weber, Douglas A. Mitchell, Rainer Breitling, Thomas Wolf, Eriko Takano, Sang Yup Lee and Kai Blin. Their work appears in journals such as Frontiers in Psychiatry, Investigative Ophthalmology & Visual Science, Journal of Affective Disorders, BMC Psychiatry and Nature Communications.

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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