Matthew Goodman

1.1k total citations
27 papers, 466 citations indexed

About

Matthew Goodman is a scholar working on Molecular Biology, Experimental and Cognitive Psychology and Physiology. According to data from OpenAlex, Matthew Goodman has authored 27 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Experimental and Cognitive Psychology and 5 papers in Physiology. Recurrent topics in Matthew Goodman's work include Sleep and related disorders (7 papers), Sleep and Work-Related Fatigue (4 papers) and Obstructive Sleep Apnea Research (3 papers). Matthew Goodman is often cited by papers focused on Sleep and related disorders (7 papers), Sleep and Work-Related Fatigue (4 papers) and Obstructive Sleep Apnea Research (3 papers). Matthew Goodman collaborates with scholars based in United States, United Kingdom and Australia. Matthew Goodman's co-authors include Susan Redline, Tianyi Huang, C. Tickle, Angela M. Crawley, John Czelusniak, H. Franklin Bunn, Suzanne M. Bertisch, Joon Chung, Boissel Jp and Danyi Wen and has published in prestigious journals such as Blood, Development and American Journal of Epidemiology.

In The Last Decade

Matthew Goodman

22 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Goodman United States 14 108 102 101 73 70 27 466
Sean Hesselbacher United States 14 186 1.7× 108 1.1× 131 1.3× 32 0.4× 91 1.3× 23 698
Varghese Abraham United States 13 222 2.1× 191 1.9× 68 0.7× 152 2.1× 96 1.4× 18 772
Jeremy Goldin Australia 13 130 1.2× 97 1.0× 97 1.0× 11 0.2× 35 0.5× 28 560
Sevda İsmailoğulları Türkiye 11 66 0.6× 74 0.7× 27 0.3× 14 0.2× 44 0.6× 36 432
Werner F. Blum Germany 16 171 1.6× 38 0.4× 299 3.0× 27 0.4× 86 1.2× 20 1.1k
Alex Whelan Ireland 14 67 0.6× 21 0.2× 88 0.9× 82 1.1× 131 1.9× 22 789
Caila B. Vaughn United States 14 42 0.4× 32 0.3× 51 0.5× 27 0.4× 17 0.2× 34 621
Nihar Patel United States 8 49 0.5× 35 0.3× 48 0.5× 40 0.5× 27 0.4× 16 411
Andrea J. Cohen United States 13 71 0.7× 19 0.2× 188 1.9× 24 0.3× 66 0.9× 26 820

Countries citing papers authored by Matthew Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Goodman. A scholar is included among the top collaborators of Matthew Goodman 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 Matthew Goodman. Matthew Goodman 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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Sofer, Tamar, Nuzulul Kurniansyah, Einat Granot‐Hershkovitz, et al.. (2023). A polygenic risk score for Alzheimer’s disease constructed using APOE-region variants has stronger association than APOE alleles with mild cognitive impairment in Hispanic/Latino adults in the U.S.. Alzheimer s Research & Therapy. 15(1). 146–146. 8 indexed citations
4.
Goodman, Matthew, Hassan S. Dashti, Jacqueline M. Lane, et al.. (2023). Causal Association Between Subtypes of Excessive Daytime Sleepiness and Risk of Cardiovascular Diseases. Journal of the American Heart Association. 12(24). e030568–e030568. 7 indexed citations
5.
Chung, Joon, Matthew Goodman, Tianyi Huang, et al.. (2023). Multi-dimensional sleep and mortality: The Multi-Ethnic Study of Atherosclerosis. SLEEP. 46(9). 13 indexed citations
6.
Chung, Joon, Matthew Goodman, Tianyi Huang, et al.. (2023). Objectively regular sleep patterns and mortality in a prospective cohort: The Multi‐Ethnic Study of Atherosclerosis. Journal of Sleep Research. 33(1). e14048–e14048. 10 indexed citations
7.
Goodman, Matthew, Brian E. Cade, Neomi Shah, et al.. (2022). Pathway-Specific Polygenic Risk Scores Identify Obstructive Sleep Apnea–Related Pathways Differentially Moderating Genetic Susceptibility to Coronary Artery Disease. Circulation Genomic and Precision Medicine. 15(5). e003535–e003535. 15 indexed citations
8.
Huang, Tianyi, Matthew Goodman, Xiaoyu Li, et al.. (2021). C-reactive Protein and Risk of OSA in Four US Cohorts. CHEST Journal. 159(6). 2439–2448. 38 indexed citations
9.
Chung, Joon, Matthew Goodman, Tianyi Huang, Suzanne M. Bertisch, & Susan Redline. (2021). Multidimensional Sleep Health: Concepts, Advances, and Implications for Research and Intervention. Innovation in Aging. 5(Supplement_1). 337–337.
10.
Chung, Joon, Matthew Goodman, Tianyi Huang, et al.. (2021). Racial/Ethnic Differences in Actigraphy, Questionnaire, and Polysomnography Indicators of Healthy Sleep: The Multi-Ethnic Study of Atherosclerosis. American Journal of Epidemiology. 193(1). 107–120. 19 indexed citations
11.
Chung, Joon, Matthew Goodman, Tianyi Huang, Suzanne M. Bertisch, & Susan Redline. (2021). Multidimensional sleep health in a diverse, aging adult cohort: Concepts, advances, and implications for research and intervention. Sleep Health. 7(6). 699–707. 46 indexed citations
12.
Chung, Joon, Matthew Goodman, Tianyi Huang, et al.. (2020). 0363 Racial/Ethnic Differences in Actigraphy, Questionnaire, and Polysomnography-Measured Indicators of Sleep Health and Sleep Quality: The Multi-Ethnic Study of Atherosclerosis. SLEEP. 43(Supplement_1). A138–A139. 1 indexed citations
13.
Koch, Manja, Steven T. DeKosky, Matthew Goodman, et al.. (2019). High density lipoprotein and its apolipoprotein-defined subspecies and risk of dementia. Journal of Lipid Research. 61(3). 445–454. 15 indexed citations
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Goodman, Matthew, Lori B. Chibnik, & Tianxi Cai. (2018). Variance components genetic association test for zero‐inflated count outcomes. Genetic Epidemiology. 43(1). 82–101. 2 indexed citations
16.
Goodman, Matthew, et al.. (2013). Scalable, incremental learning with MapReduce parallelization for cell detection in high-resolution 3D microscopy data. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 290. 1–7. 4 indexed citations
17.
Marchese, Adriano, Richard Cheng, Calvin A. Porter, et al.. (1994). Mapping Studies of Two G Protein-Coupled Receptor Genes: An Amino Acid Difference May Confer a Functional Variation Between a Human and Rodent Receptor. Biochemical and Biophysical Research Communications. 205(3). 1952–1958. 16 indexed citations
18.
Wen, Danyi, et al.. (1993). Erythropoietin structure-function relationships: high degree of sequence homology among mammals. Blood. 82(5). 1507–1516. 122 indexed citations
19.
Tickle, C., Matthew Goodman, & Lewis Wolpert. (1978). Cell contacts and sorting outin vivo:the behaviour of some embryonic tissues implanted into the developing chick wing. Development. 48(1). 225–237. 5 indexed citations
20.
Tickle, C., Angela M. Crawley, & Matthew Goodman. (1978). Cell movement and the mechanism of invasiveness: a survey of the behaviour of some normal and malignant cells implanted into the developing chick wing bud. Journal of Cell Science. 31(1). 293–322. 33 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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