Matthew Goodman
Impact in
- Hematology top 10%
- Erythropoietin and Anemia Treatment
-
- Sleep and related disorders
Papers in
-
- Pluripotent Stem Cells Research 2
- Single-cell and spatial transcriptomics 2
- Developmental Biology and Gene Regulation 2
-
- Sleep and related disorders 7
- Co-authors
- C. Tickle (3 shared papers)Susan Redline (11 shared papers)Tianyi Huang (10 shared papers)Angela M. Crawley (2 shared papers)H. Franklin Bunn (1 shared paper)Danyi Wen (1 shared paper)Boissel Jp (1 shared paper)John Czelusniak (1 shared paper)
- Journals
- SLEEP (4 papers)Sleep Health (2 papers)Journal of Cell Science (2 papers)Journal of Lipid Research (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Matthew Goodman
23 papers receiving 481 citations
Peers
Comparison fields: 5 of 87
- Hematology 84
- Experimental and Cognitive Psychology 89
- Endocrine and Autonomic Systems 38
- Physiology 103
- Biochemistry 14
Countries citing papers authored by Matthew Goodman
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
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-authors
The 25 scholars most cited alongside Matthew Goodman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 136 | |
| 2 | 2021 | 49 | |
| 3 | 2021 | 41 | |
| 4 | 1978 | 38 | |
| 5 | 1984 | 35 | |
| 6 | 1978 | 27 | |
| 7 | 2020 | 25 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2022 | 16 | |
| 11 | 1994 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 11 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 1978 | 6 | |
| 19 | 2013 | 4 | |
| 20 | 2018 | 2 |
About Matthew Goodman
Matthew Goodman is a scholar working on Molecular Biology, Experimental and Cognitive Psychology, Cognitive Neuroscience, Physiology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 509 indexed citations. Recurring topics across this work include Sleep and related disorders (7 papers), Obstructive Sleep Apnea Research (3 papers), Sleep and Wakefulness Research (3 papers), Pluripotent Stem Cells Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Cellular Mechanics and Interactions (2 papers), Developmental Biology and Gene Regulation (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Hematology (84 citations), Experimental and Cognitive Psychology (89 citations), Endocrine and Autonomic Systems (38 citations), Physiology (103 citations) and Biochemistry (14 citations). Matthew Goodman has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include C. Tickle, Susan Redline, Tianyi Huang, Angela M. Crawley, H. Franklin Bunn, Danyi Wen, Boissel Jp, John Czelusniak, Suzanne M. Bertisch and Joon Chung. Their work appears in journals such as SLEEP, Sleep Health, Journal of Cell Science, Journal of Lipid Research and Biochemical and Biophysical Research Communications.
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.