Marjorie E. Platts

966 citations
17 papers · 858 · h-index 12

Impact in

Papers in

Marjorie E. Platts

17 papers receiving 733 citations

Peers

Marjorie E. Platts
Comparison fields: 5 of 78
  • Genetics 305
  • Endocrinology, Diabetes and Metabolism 239
  • Neurology 173
  • Hematology 82
  • Pulmonary and Respiratory Medicine 154
Replace P.N. Plowman with:
P.N. Plowman United Kingdom
Marcelo R. Olarte United States
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P. Nicholas Plowman United Kingdom
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Citations per year

Countries citing papers authored by Marjorie E. Platts

Since Specialization
Citations

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

Fields of papers citing papers by Marjorie E. Platts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marjorie E. Platts. 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 Marjorie E. Platts. The network helps show where Marjorie E. Platts may publish in the future.

Co-authors

The 25 scholars most cited alongside Marjorie E. Platts, 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 Marjorie E. Platts Line = papers co-authored together Marjorie E. Platts links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Silent corticotropic adenomas of the human pituitary gland: a histologic, immunocytologic, and ultrastructural study.
1980234
2 1982104
3 198080
4 197071
5 196969
6 197665
7
5-Fluorouracil related toxic myocarditis: case reports and pathological confirmation.
199446
8 196837
9 196537
10 198433
11
Thymoma, myasthenia gravis, erythroblastopenic anemia and systemic lupus erythematosus in one patient.
197326
12 196824
13 198011
14 198410
15 19798
16 19812
17 19711

About Marjorie E. Platts

Marjorie E. Platts is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Rheumatology, Neurology and Oncology, having authored 17 papers that have together received 858 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (3 papers), Bone Tumor Diagnosis and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Glycosylation and Glycoproteins Research (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Management of metastatic bone disease (1 paper). The work is most often cited by research in Genetics (305 citations), Endocrinology, Diabetes and Metabolism (239 citations), Neurology (173 citations), Hematology (82 citations) and Pulmonary and Respiratory Medicine (154 citations). Marjorie E. Platts has collaborated with scholars based in Canada and United Kingdom. Frequent co-authors include William J. Simpson, W. Pruzanski, DONALD W. KILLINGER, Kálmán Kovács, Harley S. Smyth, Éva Horváth, William Singer, David G. Payne, Colin W. Keen and M. A. Ogryzlo. Their work appears in journals such as Journal of neurosurgery, American Journal of Physiology-Legacy Content, Journal of Neurology Neurosurgery & Psychiatry, Cancer and Acta Neuropathologica.

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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