Xiaowen Lu

79 papers receiving 2.0k citations

Hit Papers

antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification 2017 · 920 citations
9200+3+6Years since publication250500750

Peers

Xiaowen Lu
Comparison fields: 5 of 139
  • Pharmacology 595
  • Biotechnology 180
  • Microbiology 12
  • Molecular Biology 1.0k
  • Biological Psychiatry 30
Replace Giselda Bucca with:
Giselda Bucca United Kingdom
Fang Peng China
Luz Romero United States
Chong Li China
Bryan Maloney United States
Takeshi Tanaka Japan
Hyun-Ju Kim South Korea
Hironori Aramaki Japan
Tomás Drgon United States
He Li China
Xiaowen Lu relative to Giselda Bucca United Kingdom Giselda Bucca's profile →
Citations per field
00.5×
Giselda Bucca · 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 86 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 →
2017920
2 200363
3 201649
4 201447
5 201044
6 201541
7 202036
8 202134
9 200934
10 202133
11 201931
12 199830
13 201528
14 201327
15 202026
16 202026
17 199625
18 201924
19 201523
20 202222

About Xiaowen Lu

Xiaowen Lu is a scholar working on Molecular Biology, Cognitive Neuroscience, Pharmacology, Public Health, Environmental and Occupational Health and Experimental and Cognitive Psychology, having authored 86 papers that have together received 2.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Ocular Surface and Contact Lens (12 papers), Treatment of Major Depression (11 papers), Mental Health Research Topics (10 papers), Child and Adolescent Psychosocial and Emotional Development (8 papers), Child Abuse and Trauma (7 papers), Corneal Surgery and Treatments (7 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). The work is most often cited by research in Pharmacology (595 citations), Biotechnology (180 citations), Microbiology (12 citations), Molecular Biology (1.0k citations) and Biological Psychiatry (30 citations). Xiaowen Lu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Mitchell A. Watsky, Marnix H. Medema, Marc G. Chevrette, Emmanuel L. C. de los Santos, Tilmann Weber, Hyun Uk Kim, Sang Yup Lee, Rainer Breitling, Thomas Wolf and Eriko Takano. Their work appears in journals such as Frontiers in Psychiatry, Investigative Ophthalmology & Visual Science, Journal of Affective Disorders, Nature Communications and BMC Psychiatry.

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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