Matthew R. Grossman

1.6k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Matthew R. Grossman is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions and Endocrine and Autonomic Systems. According to data from OpenAlex, Matthew R. Grossman has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pediatrics, Perinatology and Child Health, 6 papers in General Health Professions and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Matthew R. Grossman's work include Prenatal Substance Exposure Effects (10 papers), Neonatal Health and Biochemistry (7 papers) and Homelessness and Social Issues (6 papers). Matthew R. Grossman is often cited by papers focused on Prenatal Substance Exposure Effects (10 papers), Neonatal Health and Biochemistry (7 papers) and Homelessness and Social Issues (6 papers). Matthew R. Grossman collaborates with scholars based in United States and Canada. Matthew R. Grossman's co-authors include Erich D. Jarvis, Adam Berkwitt, Constance Scharff, Fernando Nottebohm, Rachel Osborn, Robert R. Sinclair, Thomas W. Britt, Winny Shen, David M. Klieger and Matthew J. Lipshaw and has published in prestigious journals such as Neuron, PEDIATRICS and JAMA Network Open.

In The Last Decade

Matthew R. Grossman

17 papers receiving 1.1k citations

Hit Papers

How Much Do We Really Know About Employee Resilience? 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew R. Grossman United States 8 430 343 312 247 228 19 1.1k
Grace A. Noppert United States 13 41 0.1× 39 0.1× 97 0.3× 42 0.2× 57 0.3× 47 812
Stacy Rosenbaum United States 16 46 0.1× 112 0.3× 193 0.6× 77 0.3× 27 0.1× 46 754
William D. Lassek United States 14 116 0.3× 8 0.0× 45 0.1× 12 0.0× 153 0.7× 15 846
Alisa M. Harrigan United States 5 34 0.1× 43 0.1× 63 0.2× 34 0.1× 7 0.0× 5 445
Åke Mattsson United States 16 230 0.5× 7 0.0× 14 0.0× 4 0.0× 555 2.4× 36 1.3k
H Collomb Senegal 12 57 0.1× 10 0.0× 17 0.1× 12 0.0× 114 0.5× 96 493
Andrew Henry United States 10 11 0.0× 43 0.1× 15 0.0× 20 0.1× 318 1.4× 19 723
Fiona McLaughlin United States 11 65 0.2× 7 0.0× 19 0.1× 3 0.0× 147 0.6× 16 596
Katherine A. Dettwyler United States 13 77 0.2× 5 0.0× 8 0.0× 32 0.1× 35 0.2× 19 763
Saul Levine United States 7 36 0.1× 10 0.0× 12 0.0× 4 0.0× 104 0.5× 21 463

Countries citing papers authored by Matthew R. Grossman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Grossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew R. Grossman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Grossman. A scholar is included among the top collaborators of Matthew R. Grossman 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 R. Grossman. Matthew R. Grossman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Shabanova, Veronika, et al.. (2025). Bronchopulmonary Dysplasia in the First Year: Insights Into Severity, Medication Use, and Healthcare Utilization. Pediatric Pulmonology. 60(8). e71254–e71254.
2.
Grossman, Matthew R., et al.. (2025). Neonatal Opioid Withdrawal Syndrome. Pediatric Clinics of North America. 72(4). 639–659.
3.
Gaither, Julie R., Matthew R. Grossman, Yi Li, et al.. (2024). Hospital Readmissions Among Infants With Neonatal Opioid Withdrawal Syndrome. JAMA Network Open. 7(9). e2435074–e2435074. 2 indexed citations
4.
Shabanova, Veronika, et al.. (2022). Early Weight Loss Percentile Curves and Feeding Practices in Opioid-Exposed Infants. Hospital Pediatrics. 12(10). 857–866. 3 indexed citations
5.
Grossman, Matthew R., Adam Berkwitt, & Rachel Osborn. (2022). Questioning Our Approach to Hyperbilirubinemia. Hospital Pediatrics. 12(4). e137–e139. 2 indexed citations
6.
Johns, Christina B., Chloe Zimmerman, Cherise A. Rowan, & Matthew R. Grossman. (2020). Severe Rhabdomyolysis Due to SARS CoV-2 Infection in a Young Adult. Infectious Diseases in Clinical Practice. 28(6). e24–e25. 1 indexed citations
7.
Grossman, Matthew R., et al.. (2020). Evaluating the effect of hospital setting on outcomes for neonatal abstinence syndrome. Journal of Perinatology. 40(10). 1483–1488. 7 indexed citations
8.
Loyal, Jaspreet, et al.. (2019). Postpartum Nurses’ Experience Caring for Infants With Neonatal Abstinence Syndrome. Hospital Pediatrics. 9(8). 601–607. 11 indexed citations
9.
Schiff, Davida M. & Matthew R. Grossman. (2019). Beyond the Finnegan scoring system: Novel assessment and diagnostic techniques for the opioid-exposed infant. Seminars in Fetal and Neonatal Medicine. 24(2). 115–120. 32 indexed citations
10.
Sun, He, Tyler D. Groff, Mary Anne Limbach, et al.. (2018). First light of the High Contrast Integral Field Spectrograph (HCIFS). Open Repository and Bibliography (University of Liège). 2. 204–204. 2 indexed citations
11.
Grossman, Matthew R., Matthew J. Lipshaw, Rachel Osborn, & Adam Berkwitt. (2018). A Novel Approach to Assessing Infants With Neonatal Abstinence Syndrome. Hospital Pediatrics. 8(1). 1–6. 151 indexed citations
12.
Berkwitt, Adam, Matthew R. Grossman, & Paul L. Aronson. (2018). Is It Time to Stop Classifying Febrile Infants With Positive Urinalyses as High-Risk for Meningitis?. Hospital Pediatrics. 8(8). 506–508. 4 indexed citations
13.
Grossman, Matthew R.. (2017). The Structure of Resilience: An Empirical Examination of Resilience Factors. Digital Commons - University of South Florida (University of South Florida). 2 indexed citations
14.
Grossman, Matthew R., Adam Berkwitt, Rachel Osborn, et al.. (2017). An Initiative to Improve the Quality of Care of Infants With Neonatal Abstinence Syndrome. PEDIATRICS. 139(6). 177 indexed citations
15.
Grossman, Matthew R., Rachel Osborn, & Adam Berkwitt. (2017). Neonatal Abstinence Syndrome: Time for a Reappraisal. Hospital Pediatrics. 7(2). 115–116. 19 indexed citations
16.
Britt, Thomas W., Winny Shen, Robert R. Sinclair, Matthew R. Grossman, & David M. Klieger. (2016). How Much Do We Really Know About Employee Resilience?. Industrial and Organizational Psychology. 9(2). 378–404. 300 indexed citations breakdown →
17.
Jones, Hendrée E., Carl Seashore, Kevin E. O’Grady, et al.. (2016). Psychometric assessment of the Neonatal Abstinence Scoring System and the MOTHER NAS Scale. American Journal on Addictions. 25(5). 370–373. 34 indexed citations
18.
Grossman, Matthew R.. (2014). Clarifying the Nature of Resilience: A Meta-Analytic Approach. Digital Commons - University of South Florida (University of South Florida). 71(1). 20–5. 6 indexed citations
19.
Jarvis, Erich D., et al.. (1998). For Whom The Bird Sings. Neuron. 21(4). 775–788. 364 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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