M. Janet Easterling

13 papers receiving 456 citations

Peers

M. Janet Easterling
Comparison fields: 5 of 33
  • Pathology and Forensic Medicine 415
  • Health Information Management 12
  • Oncology 30
  • Pediatrics, Perinatology and Child Health 13
  • Geriatrics and Gerontology 3
Replace Emílio Francisco Marussi with:
Emílio Francisco Marussi Brazil
Alain Dubreuil France
Asyia S. Ahmad United States
Jessica Wang United States
Camille Jauffret France
Alyssa D. Throckmorton United States
Krishnaswamy Madhavan United Kingdom
Vivek Thakkar Australia
Jolanta M. Durski United States
Sharanamma M. Kollur Saudi Arabia
M. Janet Easterling relative to Emílio Francisco Marussi Brazil Emílio Francisco Marussi's profile →
Citations per field
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Emílio Francisco Marussi · 1×
Citations per year

Countries citing papers authored by M. Janet Easterling

Since Specialization
Citations

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

Fields of papers citing papers by M. Janet Easterling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Janet Easterling. 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 M. Janet Easterling. The network helps show where M. Janet Easterling may publish in the future.

Co-authors

The 14 scholars most cited alongside M. Janet Easterling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Janet Easterling Line = papers co-authored together M. Janet Easterling links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1985145
2 1989133
3 198372
4 198339
5 198723
6 198421
7 198314
8
Case-mix adjustment using objective measures of severity: the case for laboratory data.
199414
9 198912
10 199412
11 198911
12 19859
13 19912

About M. Janet Easterling

M. Janet Easterling is a scholar working on Pathology and Forensic Medicine, Health Information Management, Economics and Econometrics, Statistics and Probability and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 507 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Healthcare Policy and Management (2 papers), Medical Coding and Health Information (2 papers), Neonatal Health and Biochemistry (1 paper), Sepsis Diagnosis and Treatment (1 paper), Statistical Methods in Epidemiology (1 paper), Machine Learning in Healthcare (1 paper) and Healthcare Quality and Management (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (415 citations), Health Information Management (12 citations), Oncology (30 citations), Pediatrics, Perinatology and Child Health (13 citations) and Geriatrics and Gerontology (3 citations). M. Janet Easterling has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Anthony M. Jelliffe, Gillian Vaughan Hudson, MR Bennett, Bryan Vaughan Hudson, K.A. MacLennan, J. L. Haybittle, Kenneth MacLennan, F. G. J. Hayhoe, M.H. Bennett and Thomas B. Newman. Their work appears in journals such as Clinical Radiology, The Lancet, Journal of Clinical Epidemiology, American Journal of Public Health and Cancer.

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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