Gail Y. Higgins

882 total citations
9 papers, 511 citations indexed

About

Gail Y. Higgins is a scholar working on Transplantation, Oncology and Epidemiology. According to data from OpenAlex, Gail Y. Higgins has authored 9 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Transplantation, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Gail Y. Higgins's work include Renal Transplantation Outcomes and Treatments (4 papers), Cytomegalovirus and herpesvirus research (3 papers) and Meta-analysis and systematic reviews (2 papers). Gail Y. Higgins is often cited by papers focused on Renal Transplantation Outcomes and Treatments (4 papers), Cytomegalovirus and herpesvirus research (3 papers) and Meta-analysis and systematic reviews (2 papers). Gail Y. Higgins collaborates with scholars based in Australia, Italy and New Zealand. Gail Y. Higgins's co-authors include Jonathan C. Craig, Angela C Webster, Jeremy R. Chapman, E. Geoffrey Playford, Richard McGee, Narelle S Willis, Sandra Matheson, Giovanni FM Strippoli, Suetonia C. Palmer and Patrick J. Kelly and has published in prestigious journals such as Cochrane Database of Systematic Reviews, American Journal of Kidney Diseases and Transplantation.

In The Last Decade

Gail Y. Higgins

9 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gail Y. Higgins Australia	7	299	171	114	103	88	9	511
J. Thielke United States	13	430 1.4×	293 1.7×	80 0.7×	66 0.6×	172 2.0×	25	610
A.E Bittar Brazil	14	212 0.7×	144 0.8×	102 0.9×	88 0.9×	119 1.4×	37	499
Janusz Wyzgał Poland	12	220 0.7×	169 1.0×	127 1.1×	38 0.4×	71 0.8×	75	490
K.K. Venkat United States	17	361 1.2×	186 1.1×	87 0.8×	21 0.2×	118 1.3×	40	620
J. Kothari Canada	5	306 1.0×	157 0.9×	93 0.8×	41 0.4×	55 0.6×	5	431
Marina Loucaidou United Kingdom	10	262 0.9×	117 0.7×	46 0.4×	89 0.9×	69 0.8×	21	509
Daniel Abramovicz France	3	190 0.6×	113 0.7×	105 0.9×	65 0.6×	88 1.0×	4	372
Mohammed Malekzadeh United States	14	244 0.8×	150 0.9×	53 0.5×	46 0.4×	105 1.2×	24	662
Rachel Hellemans Belgium	12	246 0.8×	160 0.9×	78 0.7×	46 0.4×	91 1.0×	37	390
Auxiliadora Mazuecos Spain	15	292 1.0×	172 1.0×	106 0.9×	102 1.0×	81 0.9×	70	738

Countries citing papers authored by Gail Y. Higgins

Since Specialization

Citations

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

Fields of papers citing papers by Gail Y. Higgins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail Y. Higgins. 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 Gail Y. Higgins. The network helps show where Gail Y. Higgins may publish in the future.

Co-authorship network of co-authors of Gail Y. Higgins

This figure shows the co-authorship network connecting the top 25 collaborators of Gail Y. Higgins. A scholar is included among the top collaborators of Gail Y. Higgins 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 Gail Y. Higgins. Gail Y. Higgins 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

Chung, Edmund Y. M., Suetonia C. Palmer, Patrizia Natale, et al.. (2021). Incidence and Outcomes of COVID-19 in People With CKD: A Systematic Review and Meta-analysis. American Journal of Kidney Diseases. 78(6). 804–815. 81 indexed citations

Palmer, Suetonia C., Jonathan C. Craig, Alice Jones, et al.. (2014). Celebrating 20 years of evidence from the Cochrane Collaboration: what has been the impact of systematic reviews on nephrology?. Nephrology Dialysis Transplantation. 30(6). 871–877. 5 indexed citations

McGee, Richard, et al.. (2011). Trial Registration and Declaration of Registration by Authors of Randomized Controlled Trials. Transplantation. 92(10). 1094–1100. 28 indexed citations

Brooks, Robert J., Gail Y. Higgins, & Angela C Webster. (2010). Systematic review of randomized controlled trial quality in pediatric kidney transplantation. Pediatric Nephrology. 25(12). 2383–2392. 13 indexed citations

Webster, Angela C, Richard McGee, Sandra Matheson, et al.. (2010). Interleukin 2 receptor antagonists for kidney transplant recipients. Cochrane Database of Systematic Reviews. 2014(5). CD003897–CD003897. 175 indexed citations

Webster, Angela C, E. Geoffrey Playford, Gail Y. Higgins, Jeremy R. Chapman, & Jonathan C. Craig. (2004). Interleukin 2 receptor antagonists for kidney transplant recipients. Cochrane Database of Systematic Reviews. CD003897–CD003897. 24 indexed citations

Webster, Angela C, E. Geoffrey Playford, Gail Y. Higgins, Jeremy R. Chapman, & Jonathan C. Craig. (2004). Interleukin 2 receptor antagonists for renal transplant recipients: a meta-analysis of randomized trials1. Transplantation. 77(2). 166–176. 176 indexed citations

Boiron, Marie‐Christine, et al.. (1981). Clinical trials with diglycoaldehyde (NSC-118994): review and reasons for withdrawal from clinical trial.. PubMed. 1(2). 121–4. 3 indexed citations

Lovric, V. A., et al.. (1965). IRON‐DEFICIENCY ANÆMIA IN CHILDREN: A PREVENTABLE DISEASE IN AN AFFLUENT COMMUNITY. The Medical Journal of Australia. 2(13). 537–539. 6 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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