Sarah M. Lo

10 total papers · 558 total citations
5 papers, 161 citations indexed

About

Sarah M. Lo is a scholar working on Physiology, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Sarah M. Lo has authored 5 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Organic Chemistry and 3 papers in Molecular Biology. Recurrent topics in Sarah M. Lo's work include Lysosomal Storage Disorders Research (4 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Sarah M. Lo is often cited by papers focused on Lysosomal Storage Disorders Research (4 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Sarah M. Lo collaborates with scholars based in United States and Netherlands. Sarah M. Lo's co-authors include Pramod K. Mistry, Gregory M. Pastores, Jun Liu, Dhanpat Jain, Kirk Aleck, James A. Knowles, Michael Boxer, Philip Stein, Michael Bär and Andrew G. Huvos and has published in prestigious journals such as Blood, American Journal of Hematology and Journal of Inherited Metabolic Disease.

In The Last Decade

Sarah M. Lo

5 papers receiving 152 citations

Author Peers

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

Author						Papers	Cites
Sarah M. Lo	113	53	50	43	35	5	161
Annika Wennerström	74 0.7×	36 0.7×	115 2.3×	16 0.4×	9 0.3×	9	249
Nader Khan	15 0.1×	28 0.5×	45 0.9×	43 1.0×	26 0.7×	6	243
Yasuyuki Tokunaga	31 0.3×	21 0.4×	137 2.7×	8 0.2×	22 0.6×	8	221
Neil Auricchio	100 0.9×	20 0.4×	112 2.2×	9 0.2×	77 2.2×	6	229
Mónica Erazo	54 0.5×	24 0.5×	57 1.1×	15 0.3×	33 0.9×	7	209
William Farver	58 0.5×	24 0.5×	62 1.2×	11 0.3×	27 0.8×	4	264
A Durin	124 1.1×	12 0.2×	17 0.3×	9 0.2×	48 1.4×	5	236
Pierre–Olivier Schischmanoff	47 0.4×	16 0.3×	55 1.1×	7 0.2×	66 1.9×	7	238
Samantha Alexander	54 0.5×	19 0.4×	69 1.4×	11 0.3×	25 0.7×	4	224
Maria Cecilia Della Valle	165 1.5×	86 1.6×	86 1.7×	49 1.1×	72 2.1×	5	234

Countries citing papers authored by Sarah M. Lo

Since Specialization

Citations

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

Fields of papers citing papers by Sarah M. Lo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah M. Lo

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