Beth J. Kirby

31 total papers · 464 total citations
20 papers, 315 citations indexed

About

Beth J. Kirby is a scholar working on Nephrology, Rheumatology and Molecular Biology. According to data from OpenAlex, Beth J. Kirby has authored 20 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 8 papers in Rheumatology and 6 papers in Molecular Biology. Recurrent topics in Beth J. Kirby's work include Parathyroid Disorders and Treatments (8 papers), Genetic Syndromes and Imprinting (6 papers) and Vitamin D Research Studies (6 papers). Beth J. Kirby is often cited by papers focused on Parathyroid Disorders and Treatments (8 papers), Genetic Syndromes and Imprinting (6 papers) and Vitamin D Research Studies (6 papers). Beth J. Kirby collaborates with scholars based in Canada, United States and Australia. Beth J. Kirby's co-authors include Christopher S. Kovács, Andrew C. Karaplis, Yue Ma, Natalie A. Sims, Heather M. Martin, Beate Lanske, Laleh Ardeshirpour, John J. Wysolmerski, Alison Farley and B. W. Lassers and has published in prestigious journals such as Journal of Applied Physiology, Endocrinology and Journal of Hepatology.

In The Last Decade

Beth J. Kirby

19 papers receiving 310 citations

Author Peers

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

Author						Papers	Cites
Beth J. Kirby	99	84	83	82	75	20	315
Samir N. Tuma	133 1.3×	43 0.5×	34 0.4×	63 0.8×	23 0.3×	15	335
Mandy E. Turner	107 1.1×	75 0.9×	31 0.4×	33 0.4×	33 0.4×	25	242
Dihua Zhang	162 1.6×	18 0.2×	21 0.3×	98 1.2×	57 0.8×	16	345
Ysamar Barrios	68 0.7×	71 0.8×	83 1.0×	28 0.3×	54 0.7×	15	365
Agnès Carlisi	115 1.2×	195 2.3×	25 0.3×	38 0.5×	104 1.4×	19	359
Carmen de Lucas Collantes	199 2.0×	33 0.4×	52 0.6×	44 0.5×	20 0.3×	19	312
Natalia Campos‐Obando	99 1.0×	50 0.6×	39 0.5×	49 0.6×	130 1.7×	15	309
Michalis Picolos	67 0.7×	26 0.3×	32 0.4×	47 0.6×	21 0.3×	20	280
Cristian Rodelo‐Haad	174 1.8×	45 0.5×	57 0.7×	51 0.6×	18 0.2×	26	282
M. Victoria Pendón-Ruiz de Mier	278 2.8×	72 0.9×	95 1.1×	79 1.0×	18 0.2×	21	362

Countries citing papers authored by Beth J. Kirby

Since Specialization

Citations

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

Fields of papers citing papers by Beth J. Kirby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beth J. Kirby

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