Sara Landy

8 total papers · 517 total citations
6 papers, 326 citations indexed

About

Sara Landy is a scholar working on Genetics, Molecular Biology and Social Psychology. According to data from OpenAlex, Sara Landy has authored 6 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Social Psychology. Recurrent topics in Sara Landy's work include Genetic and rare skin diseases. (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Attachment and Relationship Dynamics (2 papers). Sara Landy is often cited by papers focused on Genetic and rare skin diseases. (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Attachment and Relationship Dynamics (2 papers). Sara Landy collaborates with scholars based in United Kingdom, Canada and South Africa. Sara Landy's co-authors include D Donnai, Rosanne Menna, S. Rimmer, Andrew Norman, Susan Lindsay, Sue Kenwrick, Andrew Read, Eli Hatchwell, Eileen Boye and Helen Stewart and has published in prestigious journals such as Journal of Medical Genetics, European Journal of Human Genetics and Early Child Development and Care.

In The Last Decade

Sara Landy

6 papers receiving 303 citations

Author Peers

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

Author						Papers	Cites
Sara Landy	263	165	107	61	29	6	326
Aïcha Salhi	106 0.4×	118 0.7×	99 0.9×	77 1.3×	22 0.8×	9	292
Hyun Ji Noh	95 0.4×	96 0.6×	35 0.3×	14 0.2×	15 0.5×	7	223
F.F. Brockschmidt	61 0.2×	73 0.4×	43 0.4×	44 0.7×	8 0.3×	8	225
Sebastian Singer	201 0.8×	133 0.8×	155 1.4×	62 1.0×	35 1.2×	7	324
E. Zwane	84 0.3×	148 0.9×	86 0.8×	184 3.0×	3 0.1×	11	358
Merel A. Hamer	40 0.2×	58 0.4×	175 1.6×	139 2.3×	9 0.3×	12	293
Paul El-Fishawy	82 0.3×	74 0.4×	107 1.0×	25 0.4×	73 2.5×	4	291
Helen McLean	93 0.4×	75 0.5×	44 0.4×	12 0.2×	4 0.1×	9	363
Emma McCann	176 0.7×	152 0.9×	7 0.1×	10 0.2×	8 0.3×	9	314
Nicholas A. Johnson	216 0.8×	85 0.5×	29 0.3×	49 0.8×	11 0.4×	8	344

Countries citing papers authored by Sara Landy

Since Specialization

Citations

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

Fields of papers citing papers by Sara Landy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Landy

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