Lily Wang

6.8k citations
73 papers · 2.9k indexed · 2 hit papers · h-index 29

Impact in

Papers in

Lily Wang

69 papers receiving 2.9k citations

Hit Papers

Massive mining of publicly available RNA-seq data from human and mouse 2018 · 411 citations
4112008202620142020100200300400500

Peers

Lily Wang
Comparison fields: 5 of 179
  • Biological Psychiatry 114
  • Genetics 638
  • Cognitive Neuroscience 420
  • Molecular Biology 1.4k
  • Behavioral Neuroscience 74
Replace Juan R. González with:
Juan R. González Spain
Kristin K. Nicodemus United States
Marie‐Pierre Dubé Canada
Kwangsoo Kim South Korea
Stuart MacGregor Australia
Caroline Hayward United Kingdom
Joyce Y. Tung United States
Alfredo Ramı́rez Germany
Michael Chen United States
Katja Schulze United States
Lily Wang relative to Juan R. González Spain Juan R. González's profile →
Citations per field
00.5×1.6×
Juan R. González · 1×
Citations per year

Countries citing papers authored by Lily Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lily Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20242
4 20227
5 202232
6 201923
7 201811
8
Massive mining of publicly available RNA-seq data from human and mouse
Hit paper breakdown →
2018411
9 201775
10 20174
11 201537
12 20159
13 20144
14 201323
15 20113
16 201055
17 20106
18 201029
19 201087
20 200840

About Lily Wang

Lily Wang is a scholar working on Cognitive Neuroscience, Genetics, Molecular Biology, Psychiatry and Mental health and Information Systems and Management, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (10 papers), Genetic Associations and Epidemiology (8 papers), Autism Spectrum Disorder Research (7 papers), RNA Research and Splicing (7 papers), Epigenetics and DNA Methylation (6 papers), Family and Disability Support Research (5 papers) and Child Nutrition and Feeding Issues (4 papers). The work is most often cited by research in Biological Psychiatry (114 citations), Genetics (638 citations), Cognitive Neuroscience (420 citations), Molecular Biology (1.4k citations) and Behavioral Neuroscience (74 citations). Lily Wang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Constantin Aliferis, Alexander Statnikov, Peilin Jia, Zhongming Zhao, Herbert Y. Meltzer, Alexander Lachmann, Avi Ma’ayan, Denis Torre, Kathleen M. Jagodnik and Moshe C. Silverstein. Their work appears in journals such as Bioinformatics, British Journal of Cancer, eLife, PLoS ONE and Human Molecular Genetics.

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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