Lisa Sze

34 total papers · 715 total citations
21 papers, 546 citations indexed

About

Lisa Sze is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Nephrology. According to data from OpenAlex, Lisa Sze has authored 21 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Genetics and 11 papers in Nephrology. Recurrent topics in Lisa Sze's work include Genetic Syndromes and Imprinting (12 papers), Parathyroid Disorders and Treatments (11 papers) and Pituitary Gland Disorders and Treatments (10 papers). Lisa Sze is often cited by papers focused on Genetic Syndromes and Imprinting (12 papers), Parathyroid Disorders and Treatments (11 papers) and Pituitary Gland Disorders and Treatments (10 papers). Lisa Sze collaborates with scholars based in Switzerland, Australia and Norway. Lisa Sze's co-authors include Christoph Schmid, René L. Bernays, Michael Brändle, Luc Tappy, Stefanie B. Murer, Giatgen A. Spinas, Michel Hochuli, Isabelle Herter‐Aeberli, Philipp A. Gerber and Kaspar Berneis and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Lisa Sze

18 papers receiving 533 citations

Author Peers

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

Author						Papers	Cites
Lisa Sze	312	207	160	134	114	21	546
E. G. Lever	311 1.0×	132 0.6×	88 0.6×	79 0.6×	45 0.4×	16	507
Massimo Perotto	213 0.7×	126 0.6×	50 0.3×	126 0.9×	75 0.7×	14	462
A. E. Lambert	131 0.4×	85 0.4×	122 0.8×	52 0.4×	37 0.3×	19	591
Amy Baumgartner	309 1.0×	113 0.5×	147 0.9×	25 0.2×	88 0.8×	32	615
B Thalme	312 1.0×	256 1.2×	73 0.5×	71 0.5×	21 0.2×	20	595
Y. Seino	258 0.8×	55 0.3×	129 0.8×	27 0.2×	193 1.7×	28	570
Geneviève Boulet	198 0.6×	107 0.5×	142 0.9×	72 0.5×	26 0.2×	31	540
PM Stewart	233 0.7×	115 0.6×	81 0.5×	33 0.2×	43 0.4×	21	549
Emma H. Dahlström	144 0.5×	96 0.5×	33 0.2×	132 1.0×	83 0.7×	24	518
Giovanna Romanato	101 0.3×	111 0.5×	118 0.7×	20 0.1×	144 1.3×	25	514

Countries citing papers authored by Lisa Sze

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Sze

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Sze

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Sze. A scholar is included among the top collaborators of Lisa Sze 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 Lisa Sze. Lisa Sze 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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