Mark Inlow

1.2k citations
27 papers · 754 · h-index 13

Impact in

Papers in

    • Bioinformatics and Genomic Networks 8
    • Gene expression and cancer classification 8
    • Machine Learning in Bioinformatics 2
    • Genetic Associations and Epidemiology 5

Mark Inlow

25 papers receiving 734 citations

Peers

Mark Inlow
Comparison fields: 5 of 104
  • Cognitive Neuroscience 301
  • Experimental and Cognitive Psychology 103
  • Psychiatry and Mental health 82
  • Neurology 42
  • Genetics 125
Replace Yongqiang Tang with:
Yongqiang Tang United States
Xiaoke Hao China
Yen‐Ju Chen Taiwan
Weihao Zheng China
Koen V. Haak Netherlands
Stavros I. Dimitriadis United Kingdom
Tülay Adalı United States
Dirk Ostwald Germany
Søren Rahn Christensen Denmark
Thomas Donoghue United States
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Citations per field
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Yongqiang Tang · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993269
2 201686
3 201255
4 201149
5 201136
6 201336
7 201334
8 201432
9 201529
10 201124
11 200324
12 201612
13 201512
14 201612
15 20039
16 20138
17 20137
18 20215
19 20105
20 20152

About Mark Inlow

Mark Inlow is a scholar working on Molecular Biology, Genetics, Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 27 papers that have together received 754 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (8 papers), Genetic Associations and Epidemiology (5 papers), Alzheimer's disease research and treatments (4 papers), Statistical Methods and Inference (3 papers), Dementia and Cognitive Impairment Research (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Cognitive Neuroscience (301 citations), Experimental and Cognitive Psychology (103 citations), Psychiatry and Mental health (82 citations), Neurology (42 citations) and Genetics (125 citations). Mark Inlow has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Scott Makeig, Andrew J. Saykin, Li Shen, Shannon L. Risacher, Sungeun Kim, Shanker Swaminathan, Jason H. Moore, Jingwen Yan, Sungeun Kim and Lei Du. Their work appears in journals such as International Journal of Molecular Sciences, Biology Open, Scientific Reports, Alzheimer s & Dementia and BMC Systems Biology.

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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