Maryland Department of Health

34.3k citations
967 papers ·

Impact in

Papers in

Maryland Department of Health

933 papers receiving 34.3k citations

Peers

Maryland Department of Health
Comparison fields: 5 of 212
  • Infectious Diseases 8.9k
  • Applied Microbiology and Biotechnology 861
  • Endocrinology 1.1k
  • Molecular Medicine 1.2k
  • Parasitology 1.1k
Replace Connecticut Department of Public Health with:
Connecticut Department of Public Health United States
Emmes (United States) United States
Becton Dickinson (United States) United States
Massachusetts Department of Public Health United States
Bronx-Lebanon Hospital Center United States
New Jersey Department of Health United States
Memorial Hospital of Rhode Island United States
Michigan Department of Health and Human Services United States
New York Hospital Queens United States
Office of the Director United States
Maryland Department of Health relative to Connecticut Department of Public Health United States Connecticut Department of Public Health's profile →
Citations per field
00.5×1.5×1.8×
Connecticut Department of Public Health · 1×
Citations per year

Countries citing scholars working at Maryland Department of Health

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Maryland Department of Health. 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 papers produced at Maryland Department of Health with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryland Department of Health more than expected).

Fields of papers published by authors at Maryland Department of Health

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Maryland Department of Health at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Maryland Department of Health at the time of their publication.

About Maryland Department of Health

In recent decades, authors affiliated with Maryland Department of Health have published 967 papers, which have received a total of 34.3k indexed citations . Scholars at this organization have produced 190 papers in Infectious Diseases, 31 papers in Endocrinology, 27 papers in Virology, 29 papers in Molecular Medicine and 29 papers in Parasitology on the topics of HIV/AIDS Research and Interventions (68 papers), Salmonella and Campylobacter epidemiology (47 papers), Tuberculosis Research and Epidemiology (46 papers), Opioid Use Disorder Treatment (39 papers), Influenza Virus Research Studies (39 papers), Healthcare Policy and Management (31 papers), Antibiotic Resistance in Bacteria (29 papers) and Vector-borne infectious diseases (28 papers). Their work is cited by papers focused on Infectious Diseases (8.9k citations), Applied Microbiology and Biotechnology (861 citations), Endocrinology (1.1k citations), Molecular Medicine (1.2k citations) and Parasitology (1.1k citations). Authors at Maryland Department of Health collaborate with scholars in United States, Kenya and Uganda and have published in prestigious journals including Clinical Infectious Diseases, Emerging infectious diseases, Open Forum Infectious Diseases, Infection Control and Hospital Epidemiology and The Journal of Infectious Diseases. Some of Maryland Department of Health's most productive authors include Lucy E Wilson, Ghinwa K. Dumyati, Zintars G. Beldavs, Isabelle L. Horon, Wendy Bamberg, Scott K. Fridkin, Ruth Lynfield, Diana Cheng, Robert L. Bauserman and James I. Meek.

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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