Sheldon Park

1.9k total citations
34 papers, 1.4k citations indexed

About

Sheldon Park is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Sheldon Park has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 15 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Cell Biology. Recurrent topics in Sheldon Park's work include Monoclonal and Polyclonal Antibodies Research (15 papers), Biotin and Related Studies (12 papers) and Click Chemistry and Applications (7 papers). Sheldon Park is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (15 papers), Biotin and Related Studies (12 papers) and Click Chemistry and Applications (7 papers). Sheldon Park collaborates with scholars based in United States, South Korea and Philippines. Sheldon Park's co-authors include Daniel Demonte, Christopher M. Dundas, Jeffery G. Saven, Kok Hong Lim, Heng Huang, Arnd Pralle, Gregory L. Verdine, Motonari Uesugi, Sriram Neelamegham and Eric T. Boder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Sheldon Park

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sheldon Park United States	16	958	264	245	184	165	34	1.4k
Philippe Ringler Switzerland	27	1.5k 1.6×	203 0.8×	155 0.6×	122 0.7×	168 1.0×	57	2.8k
Dan Simpson United States	8	1.6k 1.6×	312 1.2×	320 1.3×	471 2.6×	186 1.1×	18	2.2k
Daniel J.‐F. Chinnapen United States	19	1.0k 1.1×	370 1.4×	72 0.3×	95 0.5×	121 0.7×	25	1.5k
Thomas H. Sharp Netherlands	20	1.2k 1.3×	99 0.4×	274 1.1×	177 1.0×	153 0.9×	53	2.1k
Isabel D. Alves France	33	2.3k 2.4×	118 0.4×	163 0.7×	177 1.0×	229 1.4×	86	2.9k
Natasha Karassina United States	7	1.4k 1.5×	309 1.2×	274 1.1×	459 2.5×	186 1.1×	10	2.0k
Chad Zimprich United States	15	1.9k 2.0×	340 1.3×	327 1.3×	547 3.0×	209 1.3×	22	2.6k
Rachel Friedman Ohana United States	10	1.8k 1.9×	340 1.3×	340 1.4×	551 3.0×	198 1.2×	21	2.4k
Wai‐Yee Leung United States	12	990 1.0×	163 0.6×	90 0.4×	190 1.0×	235 1.4×	14	1.6k

Countries citing papers authored by Sheldon Park

Since Specialization

Citations

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

Fields of papers citing papers by Sheldon Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheldon Park

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

All Works

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20 of 20 papers shown

Tomaszewski, John E., et al.. (2025). Engineering glycosyltransferases into glycan binding proteins using a mammalian surface display platform. Nature Communications. 16(1). 6637–6637. 1 indexed citations

Neelamegham, Sriram, et al.. (2021). Cellular and Molecular Engineering of Glycan Sialylation in Heterologous Systems. Molecules. 26(19). 5950–5950. 11 indexed citations

Yang, Qi, Anju Kelkar, Xinheng Yu, et al.. (2020). Inhibition of SARS-CoV-2 viral entry upon blocking N- and O-glycan elaboration. eLife. 9. 155 indexed citations

Park, Sheldon, et al.. (2019). Recent advances in the engineering and application of streptavidin-like molecules. Applied Microbiology and Biotechnology. 103(18). 7355–7365. 23 indexed citations

Park, Sheldon, et al.. (2018). Functional expression of monomeric streptavidin and fusion proteins in Escherichia coli: applications in flow cytometry and ELISA. Applied Microbiology and Biotechnology. 102(23). 10079–10089. 13 indexed citations

Qiao, Chunxia, et al.. (2018). Engineered pH-dependent recycling antibodies enhance elimination of Staphylococcal enterotoxin B superantigen in mice. mAbs. 11(2). 411–421. 6 indexed citations

Lee, Sang Hak, En Cai, Pinghua Ge, et al.. (2017). Super-resolution imaging of synaptic and Extra-synaptic AMPA receptors with different-sized fluorescent probes. eLife. 6. 60 indexed citations

Chamma, Ingrid, Mathieu Letellier, Corey Butler, et al.. (2016). Mapping the dynamics and nanoscale organization of synaptic adhesion proteins using monomeric streptavidin. Nature Communications. 7(1). 10773–10773. 115 indexed citations

Park, Sheldon, et al.. (2015). Epitope-Specific Binder Design by Yeast Surface Display. Methods in molecular biology. 1319. 143–154. 3 indexed citations

10.

Demonte, Daniel, Naiyi Li, & Sheldon Park. (2015). Postsynthetic Domain Assembly with NpuDnaE and SspDnaB Split Inteins. Applied Biochemistry and Biotechnology. 177(5). 1137–1151. 7 indexed citations

11.

Demonte, Daniel, Christopher M. Dundas, & Sheldon Park. (2014). Expression and purification of soluble monomeric streptavidin in Escherichia coli. Applied Microbiology and Biotechnology. 98(14). 6285–6295. 31 indexed citations

12.

Dundas, Christopher M., Daniel Demonte, & Sheldon Park. (2013). Streptavidin–biotin technology: improvements and innovations in chemical and biological applications. Applied Microbiology and Biotechnology. 97(21). 9343–9353. 351 indexed citations

13.

Lim, Kok Hong, Heng Huang, Arnd Pralle, & Sheldon Park. (2012). Stable, high‐affinity streptavidin monomer for protein labeling and monovalent biotin detection. Biotechnology and Bioengineering. 110(1). 57–67. 101 indexed citations

14.

Lim, Kok Hong, Inseong Hwang, & Sheldon Park. (2011). Biotin‐assisted folding of streptavidin on the yeast surface. Biotechnology Progress. 28(1). 276–283. 12 indexed citations

15.

Park, Sheldon, et al.. (2010). Computational and mutagenesis studies of the streptavidin native dimer interface. Journal of Molecular Graphics and Modelling. 29(3). 295–308. 12 indexed citations

16.

Park, Sheldon, et al.. (2008). Structural coupling between FKBP12 and buried water. Proteins Structure Function and Bioinformatics. 74(3). 603–611. 54 indexed citations

17.

Park, Sheldon, et al.. (2006). Limitations of yeast surface display in engineering proteins of high thermostability. Protein Engineering Design and Selection. 19(5). 211–217. 39 indexed citations

18.

Park, Sheldon & Jeffery G. Saven. (2005). Simulation of pH‐dependent edge strand rearrangement in human β‐2 microglobulin. Protein Science. 15(1). 200–207. 13 indexed citations

19.

Park, Sheldon & Jeffery G. Saven. (2005). Statistical and molecular dynamics studies of buried waters in globular proteins. Proteins Structure Function and Bioinformatics. 60(3). 450–463. 93 indexed citations

20.

Park, Sheldon, et al.. (2004). Advances in computational protein design. Current Opinion in Structural Biology. 14(4). 487–494. 66 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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