Mary M. Dadone

661 total citations
11 papers, 561 citations indexed

About

Mary M. Dadone is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Mary M. Dadone has authored 11 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Mary M. Dadone's work include Iron Metabolism and Disorders (4 papers), Ion Transport and Channel Regulation (2 papers) and Bipolar Disorder and Treatment (2 papers). Mary M. Dadone is often cited by papers focused on Iron Metabolism and Disorders (4 papers), Ion Transport and Channel Regulation (2 papers) and Bipolar Disorder and Treatment (2 papers). Mary M. Dadone collaborates with scholars based in United States. Mary M. Dadone's co-authors include Corwin Q. Edwards, Mark H. Skolnick, James P. Kushner, D. Timothy Bishop, K O Ash, Jean B. Smith, Steven C. Hunt, R R Williams, Roger R. Williams and John M. Opitz and has published in prestigious journals such as Gastroenterology, Hypertension and Clinica Chimica Acta.

In The Last Decade

Mary M. Dadone

11 papers receiving 513 citations

Peers

Mary M. Dadone

HEMAT

GENET

ND

MB

PRM

A. Staccini‐Myx France

Harry Givelber United States

Laïla Zahed Lebanon

Pavel Kraml Czechia

D.S. Silverberg Israel

Ann Kertesz Canada

Kirti Kain United Kingdom

E. Monn Norway

Simona Roggero Italy

Clemons Gk United States

A. Staccini‐Myx France

Mary M. Dadone

319 ×1.1

HEMAT

198 ×1.1

GENET

126 ×0.8

ND

38 ×0.3

MB

28 ×0.4

PRM

Citations per year, relative to Mary M. Dadone Mary M. Dadone (= 1×) peers A. Staccini‐Myx

Countries citing papers authored by Mary M. Dadone

Since Specialization

Citations

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

Fields of papers citing papers by Mary M. Dadone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary M. Dadone

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

All Works

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11 of 11 papers shown

1.

Hunt, Steven C., Mary M. Dadone, Roger R. Williams, et al.. (1987). Familial correlations from genes and shared environment for urine, plasma, and intraerythrocytic sodium. American Journal of Medical Genetics. 27(2). 249–255. 8 indexed citations

2.

Dadone, Mary M., Jean B. Smith, Lily Wu, et al.. (1987). Preliminary evidence for genetic determination of intraerythrocytic sodium concentration in utah pedigrees. American Journal of Medical Genetics. 27(1). 39–44. 4 indexed citations

3.

Edwards, Corwin Q., et al.. (1986). Mapping the locus for hereditary hemochromatosis: localization between HLA-B and HLA-A.. PubMed. 38(6). 805–11. 44 indexed citations

4.

Ash, K O, Jean B. Smith, Michael Lynch, et al.. (1985). Urinary kallikrein: Assay validation and physiological variability. Clinica Chimica Acta. 151(2). 133–140. 8 indexed citations

5.

Kushner, James P., Corwin Q. Edwards, Mary M. Dadone, & Mark H. Skolnick. (1985). Heterozygosity for HLA-Linked Hemochromatosis as a Likely Cause of the Hepatic Siderosis Associated With Sporadic Porphyria Cutanea Tarda. Gastroenterology. 88(5). 1232–1238. 47 indexed citations

6.

Dadone, Mary M., Sandra J. Hasstedt, Steven C. Hunt, et al.. (1984). Genetic analysis of sodium‐lithium countertransport in 10 hypertension‐prone kindreds. American Journal of Medical Genetics. 17(3). 565–577. 63 indexed citations

7.

Smith, Jean B., et al.. (1984). Three red cell sodium transport systems in hypertensive and normotensive Utah adults.. Hypertension. 6(2_pt_1). 159–166. 58 indexed citations

8.

Williams, R R, Mary M. Dadone, Steven C. Hunt, et al.. (1984). The genetic epidemiology of hypertension: a review of past studies and current results for 948 persons in 48 Utah pedigrees.. PubMed. 147. 419–42. 36 indexed citations

9.

Edwards, Corwin Q., Mark H. Skolnick, Mary M. Dadone, & James P. Kushner. (1982). Iron overload in hereditary spherocytosis: Association with hla‐linked hemochromatosis. American Journal of Hematology. 13(2). 101–109. 33 indexed citations

10.

Dadone, Mary M., James P. Kushner, Corwin Q. Edwards, D. Timothy Bishop, & Mark H. Skolnick. (1982). Hereditary Hemochromatosis: Analysis of Laboratory Expression of the Disease by Genotype in 18 Pedigrees. American Journal of Clinical Pathology. 78(2). 196–207. 162 indexed citations

11.

Edwards, Corwin Q., Mary M. Dadone, Mark H. Skolnick, & James P. Kushner. (1982). Hereditary Haemochromatosis. Clinics in Haematology. 11(2). 411–435. 98 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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