Karen Mullan

86 total papers · 654 total citations
33 papers, 448 citations indexed

About

Karen Mullan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Karen Mullan has authored 33 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Surgery and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Karen Mullan's work include Pituitary Gland Disorders and Treatments (12 papers), Thyroid Disorders and Treatments (11 papers) and Adrenal and Paraganglionic Tumors (9 papers). Karen Mullan is often cited by papers focused on Pituitary Gland Disorders and Treatments (12 papers), Thyroid Disorders and Treatments (11 papers) and Adrenal and Paraganglionic Tumors (9 papers). Karen Mullan collaborates with scholars based in United Kingdom, Ireland and Australia. Karen Mullan's co-authors include David R. McCance, Jayne V. Woodside, A. Brew Atkinson, B. Sheridan, G. H. Tomkin, Catherine M. Phillips, D. Owens, Steven Hunter, Brew Atkinson and A. B. Atkinson and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Atherosclerosis.

In The Last Decade

Karen Mullan

33 papers receiving 437 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Karen Mullan	319	171	53	48	46	33	448
Alan McNeil	186 0.6×	169 1.0×	51 1.0×	62 1.3×	43 0.9×	23	498
E. Tafaro	223 0.7×	73 0.4×	19 0.4×	106 2.2×	50 1.1×	25	432
Hüsrev Hatemi	257 0.8×	54 0.3×	65 1.2×	98 2.0×	73 1.6×	32	532
Urszula Ambroziak	335 1.1×	181 1.1×	27 0.5×	94 2.0×	36 0.8×	54	486
Nunzia Prencipe	396 1.2×	182 1.1×	35 0.7×	55 1.1×	12 0.3×	59	547
Clara Marquina	83 0.3×	147 0.9×	78 1.5×	31 0.6×	26 0.6×	50	472
Małgorzata Gietka‐Czernel	273 0.9×	107 0.6×	33 0.6×	92 1.9×	17 0.4×	36	520
Daniele Cappellani	307 1.0×	87 0.5×	26 0.5×	90 1.9×	32 0.7×	30	488
Agnieszka Kuchta	110 0.3×	136 0.8×	66 1.2×	57 1.2×	32 0.7×	46	444
Takahiro Yamaji	127 0.4×	72 0.4×	77 1.5×	103 2.1×	25 0.5×	28	496

Countries citing papers authored by Karen Mullan

Since Specialization

Citations

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

Fields of papers citing papers by Karen Mullan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen Mullan. 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 Karen Mullan. The network helps show where Karen Mullan may publish in the future.

Co-authorship network of co-authors of Karen Mullan

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

All Works

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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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