Madeleine J. Headlam

25 total papers · 708 total citations
20 papers, 600 citations indexed

About

Madeleine J. Headlam is a scholar working on Molecular Biology, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Madeleine J. Headlam has authored 20 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Madeleine J. Headlam's work include Pharmacogenetics and Drug Metabolism (6 papers), Hormonal Regulation and Hypertension (5 papers) and Respiratory viral infections research (4 papers). Madeleine J. Headlam is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Hormonal Regulation and Hypertension (5 papers) and Respiratory viral infections research (4 papers). Madeleine J. Headlam collaborates with scholars based in Australia, United States and South Africa. Madeleine J. Headlam's co-authors include Robert C. Tuckey, Nicholas E. Dixon, Patrick M. Schaeffer, Gottfried Otting, Matthew C. J. Wilce, Kiyoshi Ozawa, Jeffrey J. Gorman, Keyur A. Dave, Charani Ranasinghe and Andrew A. Hobbs and has published in prestigious journals such as Journal of Biological Chemistry, Blood and European Journal of Biochemistry.

In The Last Decade

Madeleine J. Headlam

20 papers receiving 596 citations

Author Peers

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

Author						Papers	Cites
Madeleine J. Headlam	349	93	91	78	75	20	600
Tomokazu Ueki	306 0.9×	78 0.8×	56 0.6×	55 0.7×	55 0.7×	23	659
Hans Clarke	255 0.7×	53 0.6×	49 0.5×	39 0.5×	22 0.3×	11	597
Anthony C. Trakatellis	414 1.2×	69 0.7×	46 0.5×	45 0.6×	26 0.3×	25	684
T.A.C.B. Souza	336 1.0×	19 0.2×	77 0.8×	40 0.5×	22 0.3×	27	557
Mary Szatkowski Ozers	342 1.0×	39 0.4×	128 1.4×	16 0.2×	35 0.5×	15	539
Carole A. Bailey	302 0.9×	72 0.8×	42 0.5×	56 0.7×	21 0.3×	15	601
L.I. Ashmarina	383 1.1×	73 0.8×	59 0.6×	55 0.7×	10 0.1×	21	657
Edmund M. Wise	321 0.9×	73 0.8×	64 0.7×	49 0.6×	12 0.2×	10	667
Xiaomei Yang	340 1.0×	73 0.8×	56 0.6×	31 0.4×	15 0.2×	32	641
PN Campbell	347 1.0×	37 0.4×	93 1.0×	20 0.3×	21 0.3×	20	592

Countries citing papers authored by Madeleine J. Headlam

Since Specialization

Citations

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

Fields of papers citing papers by Madeleine J. Headlam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madeleine J. Headlam. 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 Madeleine J. Headlam. The network helps show where Madeleine J. Headlam may publish in the future.

Co-authorship network of co-authors of Madeleine J. Headlam

This figure shows the co-authorship network connecting the top 25 collaborators of Madeleine J. Headlam. A scholar is included among the top collaborators of Madeleine J. Headlam 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 Madeleine J. Headlam. Madeleine J. Headlam 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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