Sarah Lawrence

81 total papers · 1.5k total citations
43 papers, 836 citations indexed

About

Sarah Lawrence is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sarah Lawrence has authored 43 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Pediatrics, Perinatology and Child Health and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sarah Lawrence's work include Diabetes Management and Research (12 papers), Diabetes and associated disorders (8 papers) and Obesity, Physical Activity, Diet (5 papers). Sarah Lawrence is often cited by papers focused on Diabetes Management and Research (12 papers), Diabetes and associated disorders (8 papers) and Obesity, Physical Activity, Diet (5 papers). Sarah Lawrence collaborates with scholars based in Canada, United Kingdom and United States. Sarah Lawrence's co-authors include Elizabeth Cummings, Denis Daneman, Isabelle Gaboury, Margaret L. Lawson, T. B. Mepham, I. C. Hart, A.R. Peters, Celia Rodd, Sarah L. Tsai and Eoghan Laffan and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Physiology and The Journal of Pediatrics.

In The Last Decade

Sarah Lawrence

41 papers receiving 782 citations

Author Peers

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

Author						Papers	Cites
Sarah Lawrence	332	319	117	115	109	43	836
William W. Tullner	173 0.5×	172 0.5×	153 1.3×	133 1.2×	57 0.5×	49	931
I. A. Forsyth	217 0.7×	397 1.2×	42 0.4×	135 1.2×	61 0.6×	39	938
J Grunt	196 0.6×	324 1.0×	24 0.2×	176 1.5×	140 1.3×	73	914
M. Puukka	70 0.2×	171 0.5×	176 1.5×	126 1.1×	100 0.9×	48	929
Barry D. Albertson	191 0.6×	339 1.1×	104 0.9×	241 2.1×	60 0.6×	35	761
Vicente Díaz‐Sánchez	135 0.4×	255 0.8×	125 1.1×	157 1.4×	109 1.0×	36	774
Yoshisada Shibata	80 0.2×	294 0.9×	116 1.0×	155 1.3×	174 1.6×	46	1.0k
THERESA M. DUELLO	284 0.9×	421 1.3×	125 1.1×	239 2.1×	95 0.9×	28	1.0k
Chunlin Wang	104 0.3×	125 0.4×	42 0.4×	205 1.8×	103 0.9×	61	837
G. Mikhail	293 0.9×	220 0.7×	139 1.2×	141 1.2×	46 0.4×	32	1.0k

Countries citing papers authored by Sarah Lawrence

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Lawrence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Lawrence

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