Mary M. Mickelson

859 total citations
9 papers, 754 citations indexed

About

Mary M. Mickelson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mary M. Mickelson has authored 9 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mary M. Mickelson's work include Pharmacological Receptor Mechanisms and Effects (2 papers), Neuropeptides and Animal Physiology (2 papers) and Glycogen Storage Diseases and Myoclonus (1 paper). Mary M. Mickelson is often cited by papers focused on Pharmacological Receptor Mechanisms and Effects (2 papers), Neuropeptides and Animal Physiology (2 papers) and Glycogen Storage Diseases and Myoclonus (1 paper). Mary M. Mickelson collaborates with scholars based in United States. Mary M. Mickelson's co-authors include John M. McCall, Robert A. Lahti, P. F. VON VOIGTLANDER, R. J. Perper, Gary D. Gray, John A. Crim, Garland A. Johnson and Thomas C. Hall and has published in prestigious journals such as Biochemical Pharmacology, European Journal of Pharmacology and Transplantation.

In The Last Decade

Mary M. Mickelson

9 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mary M. Mickelson United States	8	437	378	139	131	46	9	754
K H Jakobs Germany	17	650 1.5×	281 0.7×	73 0.5×	123 0.9×	57 1.2×	24	927
J A Sandler United States	8	186 0.4×	88 0.2×	192 1.4×	151 1.2×	21 0.5×	11	528
C Billardon France	14	243 0.6×	86 0.2×	108 0.8×	50 0.4×	58 1.3×	26	524
C R Scriver Canada	18	485 1.1×	110 0.3×	60 0.4×	153 1.2×	132 2.9×	37	1.1k
Lucien Gazi Switzerland	15	372 0.9×	226 0.6×	143 1.0×	216 1.6×	45 1.0×	20	712
Steven J. DeMarco United States	13	602 1.4×	249 0.7×	120 0.9×	66 0.5×	44 1.0×	21	864
Atsushi Ichikawa Japan	8	291 0.7×	103 0.3×	115 0.8×	120 0.9×	48 1.0×	9	660
Steven M. Fine United States	11	380 0.9×	197 0.5×	260 1.9×	151 1.2×	134 2.9×	15	1.1k
L. H. Lazarus United States	16	604 1.4×	645 1.7×	28 0.2×	215 1.6×	22 0.5×	34	1.0k
Jacques Winand Belgium	18	588 1.3×	400 1.1×	30 0.2×	149 1.1×	66 1.4×	67	925

Countries citing papers authored by Mary M. Mickelson

Since Specialization

Citations

This map shows the geographic impact of Mary M. Mickelson'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. Mickelson 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. Mickelson more than expected).

Fields of papers citing papers by Mary M. Mickelson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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9 of 9 papers shown

1.

Lahti, Robert A., et al.. (1989). Comparative neuroanatomical distribution of the κ and μ opioid receptors in guinea pig brain sections. European Journal of Pharmacology. 166(3). 563–566. 24 indexed citations

2.

Lahti, Robert A., Mary M. Mickelson, John M. McCall, & P. F. VON VOIGTLANDER. (1985). [3H]U-69593 a highly selective ligand for the opioid κ receptor. European Journal of Pharmacology. 109(2). 281–284. 389 indexed citations

3.

Gray, Gary D., et al.. (1972). Small lymphocyte phosphorylation of cytarabine—an organ and species survey. Biochemical Pharmacology. 21(16). 2227–2236. 6 indexed citations

4.

Gray, Gary D. & Mary M. Mickelson. (1970). The immunosuppressive activity of adamantoyl cytarabine. 3. Immunosuppressive specificity in rats.. PubMed. 19(3). 417–28. 9 indexed citations

5.

Gray, Gary D., Mary M. Mickelson, & John A. Crim. (1969). Immunosuppressive effects of adamantoyl cytarabine—I. Biochemical Pharmacology. 18(9). 2163–2169. 13 indexed citations

6.

Perper, R. J., et al.. (1968). Purification of lymphocytes and platelets by gradient centrifugation.. PubMed. 72(5). 842–8. 268 indexed citations

7.

Gray, Gary D., Mary M. Mickelson, & John A. Crim. (1968). THE IMMUNOSUPPRESSIVE ACTIVITY OF ARA-CYTIDINE. Transplantation. 6(7). 805–817. 19 indexed citations

8.

Gray, Gary D., John A. Crim, & Mary M. Mickelson. (1968). THE IMMUNOSUPPRESSIVE ACTIVITY OF ARA-CYTIDINE. Transplantation. 6(7). 818–825. 15 indexed citations

9.

Johnson, Garland A., et al.. (1968). Comparative aspects of tyrosine hydroxylase and tryptophan hydroxylase inhibition: Arterenones and dihydroxyphenylacetamide (H 2254). Biochemical Pharmacology. 17(3). 403–410. 11 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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