Mark Inlow

1.2k total citations
27 papers, 754 citations indexed

About

Mark Inlow is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Mark Inlow has authored 27 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Physiology. Recurrent topics in Mark Inlow's work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (8 papers) and Genetic Associations and Epidemiology (5 papers). Mark Inlow is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (8 papers) and Genetic Associations and Epidemiology (5 papers). Mark Inlow collaborates with scholars based in United States, Canada and Israel. Mark Inlow's co-authors include Scott Makeig, Andrew J. Saykin, Li Shen, Shannon L. Risacher, Sungeun Kim, Shanker Swaminathan, Jingwen Yan, Jason H. Moore, Lei Du and Sungeun Kim and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Mark Inlow

25 papers receiving 734 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Inlow United States 13 301 268 125 113 103 27 754
Dawei Wang China 15 372 1.2× 120 0.4× 35 0.3× 57 0.5× 70 0.7× 40 709
Peter Mondrup Rasmussen Denmark 16 217 0.7× 93 0.3× 58 0.5× 70 0.6× 30 0.3× 28 718
Alen Zamanyan United States 11 179 0.6× 106 0.4× 37 0.3× 123 1.1× 29 0.3× 15 647
Alexandre Andrade Portugal 16 777 2.6× 81 0.3× 53 0.4× 50 0.4× 77 0.7× 43 1.1k
Balaji Narayanan United States 10 284 0.9× 109 0.4× 65 0.5× 26 0.2× 70 0.7× 29 578
Maxwell Shinn United States 12 835 2.8× 175 0.7× 50 0.4× 63 0.6× 131 1.3× 15 1.1k
Yongqiang Tang United States 10 301 1.0× 87 0.3× 91 0.7× 30 0.3× 62 0.6× 11 695
Giampaolo Vatti Italy 15 359 1.2× 66 0.2× 30 0.2× 62 0.5× 65 0.6× 24 867
Arjun R. Khanna United States 6 811 2.7× 121 0.5× 18 0.1× 44 0.4× 97 0.9× 6 1.1k
Weihao Zheng China 16 579 1.9× 57 0.2× 38 0.3× 74 0.7× 110 1.1× 76 881

Countries citing papers authored by Mark Inlow

Since Specialization
Citations

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

Fields of papers citing papers by Mark Inlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Inlow

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Inlow. A scholar is included among the top collaborators of Mark Inlow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Inlow. Mark Inlow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Yao, Xiaohui, Jingwen Yan, Sungeun Kim, et al.. (2016). Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics. 4(1). 27–37. 12 indexed citations
6.
Du, Lei, Heng Huang, Jingwen Yan, et al.. (2016). Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Systems Biology. 10(S3). 68–68. 12 indexed citations
7.
Inlow, Mark, Shan Cong, Shannon L. Risacher, et al.. (2016). A New Statistical Image Analysis Approach and Its Application to Hippocampal Morphometry. Lecture notes in computer science. 9805. 302–310. 2 indexed citations
8.
Yao, Xiaohui, Jingwen Yan, Sungeun Kim, et al.. (2015). Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. Lecture notes in computer science. 9250. 115–124. 2 indexed citations
9.
Du, Lei, Jingwen Yan, Sungeun Kim, et al.. (2015). GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. Lecture notes in computer science. 9250. 275–284. 12 indexed citations
10.
Kim, Sungeun, Shanker Swaminathan, Mark Inlow, et al.. (2013). Influence of Genetic Variation on Plasma Protein Levels in Older Adults Using a Multi-Analyte Panel. PLoS ONE. 8(7). e70269–e70269. 36 indexed citations
11.
Yan, Jingwen, Heng Huang, Shannon L. Risacher, et al.. (2013). Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. Lecture notes in computer science. 8159. 202–210. 7 indexed citations
12.
Kim, Sungeun, Kwangsik Nho, Shannon L. Risacher, et al.. (2013). PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer’s Disease. Lecture notes in computer science. 8159. 150–158. 8 indexed citations
13.
Swaminathan, Shanker, Li Shen, Sungeun Kim, et al.. (2012). Analysis of Copy Number Variation in Alzheimer’s Disease: The NIALOAD/ NCRAD Family Study. Current Alzheimer Research. 9(7). 801–814. 55 indexed citations
14.
Swaminathan, Shanker, Li Shen, Shannon L. Risacher, et al.. (2011). Amyloid pathway-based candidate gene analysis of [11C]PiB-PET in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort. Brain Imaging and Behavior. 6(1). 1–15. 36 indexed citations
15.
Wan, Jing, Sungeun Kim, Mark Inlow, et al.. (2011). Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. Lecture notes in computer science. 14(Pt 2). 376–383. 24 indexed citations
16.
Shen, Li, Sungeun Kim, Qi Yuan, et al.. (2011). Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. Lecture notes in computer science. 7012. 27–34. 49 indexed citations
17.
Inlow, Mark. (2010). A Moment Generating Function Proof of the Lindeberg–Lévy Central Limit Theorem. The American Statistician. 64(3). 228–230. 5 indexed citations
18.
Oland, Lynne A., et al.. (2003). A diffusible signal attracts olfactory sensory axons toward their target in the developing brain of the moth. Journal of Neurobiology. 56(1). 24–40. 9 indexed citations
20.
Makeig, Scott & Mark Inlow. (1993). Lapse in alertness: coherence of fluctuations in performance and EEG spectrum. Electroencephalography and Clinical Neurophysiology. 86(1). 23–35. 269 indexed citations

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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