Matthew J. Gurka
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- Diabetes, Cardiovascular Risks, and Lipoproteins 28
- Diabetes Management and Research 23
- Psychiatry and Mental health top 2%
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- Infant Development and Preterm Care 10
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- Obesity, Physical Activity, Diet 27
- Physiology top 2%
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- Liver Disease Diagnosis and Treatment 19
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- Neonatal Respiratory Health Research 10
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- Mobile Health and mHealth Applications 10
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- Statistical Methods and Bayesian Inference 9
- Co-authors
- Mark D. DeBoerJames A. BlackmanStephanie L. FilippM. Norman OliverRichard C. HendersonRichard D. StevensonLloyd J. EdwardsAbhishek Vishnu
- Cited by
- Endocrinology, Diabetes and MetabolismPsychiatry and Mental healthPediatrics, Perinatology and Child Health
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)
- Partner nations
- United StatesHaitiCanada
In The Last Decade
Matthew J. Gurka
188 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 181
- Endocrinology, Diabetes and Metabolism 1.2k
- Psychiatry and Mental health 637
- Pediatrics, Perinatology and Child Health 804
- Public Health, Environmental and Occupational Health 1.1k
- Physiology 794
Countries citing papers authored by Matthew J. Gurka
This map shows the geographic impact of Matthew J. Gurka'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 J. Gurka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Gurka more than expected).
Fields of papers citing papers by Matthew J. Gurka
This network shows the impact of papers produced by Matthew J. Gurka. 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 J. Gurka. The network helps show where Matthew J. Gurka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. Gurka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 0 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 23 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 17 | |
| 17 | 2018 | 22 | |
| 18 | 2018 | 44 | |
| 19 | 2018 | 11 | |
| 20 | 2018 | 13 |
About Matthew J. Gurka
Matthew J. Gurka is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 200 papers that have together received 5.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (28 papers), Obesity, Physical Activity, Diet (27 papers), Diabetes Management and Research (23 papers), Liver Disease Diagnosis and Treatment (19 papers), Infant Development and Preterm Care (10 papers), Neonatal Respiratory Health Research (10 papers), Mobile Health and mHealth Applications (10 papers) and Statistical Methods and Bayesian Inference (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Psychiatry and Mental health (637 citations) and Pediatrics, Perinatology and Child Health (804 citations). Matthew J. Gurka has collaborated with scholars based in United States, Haiti and Canada. Frequent co-authors include Mark D. DeBoer, James A. Blackman, Stephanie L. Filipp, M. Norman Oliver, Richard C. Henderson, Richard D. Stevenson, Lloyd J. Edwards, Abhishek Vishnu, Arthur Lee and Keith E. Muller. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.
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.