Shawn Lawrence

515 total citations
9 papers, 405 citations indexed

About

Shawn Lawrence is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shawn Lawrence has authored 9 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shawn Lawrence's work include Glycosylation and Glycoproteins Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Biochemical and Molecular Research (3 papers). Shawn Lawrence is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Biochemical and Molecular Research (3 papers). Shawn Lawrence collaborates with scholars based in United States and Germany. Shawn Lawrence's co-authors include Michael J. Betenbaugh, Yuan C. Lee, Noboru Tomiya, Eric Ailor, Willie F. Vann, Nam T. Nguyen, Timothy A. Coleman, Yuan C. Lee, Jung Park and Karthik Viswanathan and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.

In The Last Decade

Shawn Lawrence

9 papers receiving 397 citations

Peers

Shawn Lawrence

MB

OC

BIOTE

IMMUN

RNMI

Markus Windwarder Austria

Eric Ailor United States

Mehtap Abu‐Qarn Israel

Н. Э. Нифантьев Russia

David Damerell United Kingdom

Elisabeth Mohorko Switzerland

Kenji Yamamoto Japan

Robert G. Miele United States

Mayumi Igura Japan

Thakor Patel Norway

Markus Windwarder Austria

Shawn Lawrence

324 ×0.9

MB

67 ×0.8

OC

110 ×1.4

BIOTE

75 ×1.1

IMMUN

48 ×1.1

RNMI

Citations per year, relative to Shawn Lawrence Shawn Lawrence (= 1×) peers Markus Windwarder

Countries citing papers authored by Shawn Lawrence

Since Specialization

Citations

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

Fields of papers citing papers by Shawn Lawrence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawn Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn Lawrence. A scholar is included among the top collaborators of Shawn 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 Shawn Lawrence. Shawn Lawrence is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Zhong, Xuefei, Yuan Mao, Shawn Lawrence, et al.. (2023). Kinetics of Trisulfide-to-Disulfide Conversion of Therapeutic IgG1 Monoclonal Antibodies Under Physiological Conditions: A Case Study of Casirivimab And Imdevimab. Journal of Pharmaceutical Sciences. 113(3). 642–646. 2 indexed citations

2.

Bennun, Sandra V., Amy S. Johnson, Hongxia Wang, et al.. (2021). Metabolic analysis of the asparagine and glutamine dynamics in an industrial Chinese hamster ovary fed‐batch process. Biotechnology and Bioengineering. 119(3). 807–819. 25 indexed citations

3.

Chen, Zhengwei, et al.. (2020). A general evidence-based sequence variant control limit for recombinant therapeutic protein development. mAbs. 12(1). 12 indexed citations

4.

Johnson, Amy, et al.. (2018). Medium development strategies and scale down models for a high density high productivity cell line. 1 indexed citations

5.

Viswanathan, Karthik, Shawn Lawrence, Stephan Hinderlich, et al.. (2003). Engineering Sialic Acid Synthetic Ability into Insect Cells: Identifying Metabolic Bottlenecks and Devising Strategies To Overcome Them. Biochemistry. 42(51). 15215–15225. 35 indexed citations

6.

Lawrence, Shawn, et al.. (2002). Expression of a functional Drosophila melanogasterN-acetylneuraminic acid (Neu5Ac) phosphate synthase gene: evidence for endogenous sialic acid biosynthetic ability in insects. Glycobiology. 12(2). 73–83. 44 indexed citations

7.

Lawrence, Shawn, Noboru Tomiya, Nam T. Nguyen, et al.. (2001). Cloning and expression of human sialic acid pathway genes to generate CMP-sialic acids in insect cells. Glycoconjugate Journal. 18(3). 205–213. 46 indexed citations

8.

Tomiya, Noboru, Eric Ailor, Shawn Lawrence, Michael J. Betenbaugh, & Yuan C. Lee. (2001). Determination of Nucleotides and Sugar Nucleotides Involved in Protein Glycosylation by High-Performance Anion-Exchange Chromatography: Sugar Nucleotide Contents in Cultured Insect Cells and Mammalian Cells. Analytical Biochemistry. 293(1). 129–137. 166 indexed citations

9.

Lawrence, Shawn, Nam T. Nguyen, Yuan C. Lee, et al.. (2000). Cloning and Expression of the HumanN-Acetylneuraminic Acid Phosphate Synthase Gene with 2-Keto-3-deoxy-d-glycero- d-galacto-nononic Acid Biosynthetic Ability. Journal of Biological Chemistry. 275(23). 17869–17877. 74 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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