Will Somers

490 total citations
9 papers, 184 citations indexed

About

Will Somers is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Will Somers has authored 9 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Will Somers's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Adenosine and Purinergic Signaling (2 papers). Will Somers is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Adenosine and Purinergic Signaling (2 papers). Will Somers collaborates with scholars based in United States and China. Will Somers's co-authors include Laura Lin, Long Chen, Justin D. Cohen, Peng R. Chen, Aishan Zhao, Patrick J. Doonan, Xiaoda Song, Zi Ye, Xiaotian Zhong and Mark Stahl and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and FEBS Letters.

In The Last Decade

Will Somers

9 papers receiving 180 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Will Somers United States	6	140	79	64	24	20	9	184
Matthieu Chodorge United Kingdom	8	155 1.1×	99 1.3×	31 0.5×	53 2.2×	17 0.8×	8	206
Sabine E.J. Tanis Netherlands	8	204 1.5×	26 0.3×	45 0.7×	36 1.5×	9 0.5×	9	243
Chih‐Chung Kuo United States	9	197 1.4×	40 0.5×	19 0.3×	34 1.4×	24 1.2×	11	239
Emma Cummins Ireland	5	130 0.9×	113 1.4×	24 0.4×	56 2.3×	9 0.5×	6	202
Olga Galperina United States	5	117 0.8×	37 0.5×	53 0.8×	56 2.3×	9 0.5×	6	185
Dror Baran Israel	7	208 1.5×	128 1.6×	26 0.4×	60 2.5×	14 0.7×	10	280
Jason X. Tang United States	5	74 0.5×	30 0.4×	24 0.4×	25 1.0×	3 0.1×	5	115
Mieke Steukers Belgium	5	149 1.1×	156 2.0×	14 0.2×	33 1.4×	42 2.1×	5	186
Vikash Kumar Yadav India	7	144 1.0×	38 0.5×	17 0.3×	4 0.2×	7 0.3×	13	185
Sarah Pinder United Kingdom	2	105 0.8×	22 0.3×	22 0.3×	62 2.6×	11 0.6×	2	117

Countries citing papers authored by Will Somers

Since Specialization

Citations

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

Fields of papers citing papers by Will Somers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Somers

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

All Works

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9 of 9 papers shown

Kotch, Frank W., Amar S. Prashad, Lawrence R. Chen, et al.. (2022). Cysteine metabolic engineering and selective disulfide reduction produce superior antibody-drug-conjugates. Scientific Reports. 12(1). 7262–7262. 16 indexed citations

Zhong, Xiaotian, Weijun Ma, Jing Zhou, et al.. (2021). Large-Scale Transient Production in ExpiCHO-S™ with Enhanced N-Galactosylation-Sialylation and PEI-Based Transfection. Methods in molecular biology. 2313. 143–150. 3 indexed citations

Zhong, Xiaotian, Tao He, Amar S. Prashad, et al.. (2017). Mechanistic understanding of the cysteine capping modifications of antibodies enables selective chemical engineering in live mammalian cells. Journal of Biotechnology. 248. 48–58. 10 indexed citations

Chen, Long, Justin D. Cohen, Xiaoda Song, et al.. (2016). Improved variants of SrtA for site-specific conjugation on antibodies and proteins with high efficiency. Scientific Reports. 6(1). 31899–31899. 91 indexed citations

Tu, Chao, Virginie Terraube, Amy Tam, et al.. (2015). A Combination of Structural and Empirical Analyses Delineates the Key Contacts Mediating Stability and Affinity Increases in an Optimized Biotherapeutic Single-chain Fv (scFv). Journal of Biological Chemistry. 291(3). 1267–1276. 18 indexed citations

Zhong, Xiaotian, Elizabeth Kieras, Eric Sousa, et al.. (2012). Pyroglutamate and O-Linked Glycan Determine Functional Production of Anti-IL17A and Anti-IL22 Peptide-Antibody Bispecific Genetic Fusions. Journal of Biological Chemistry. 288(2). 1409–1419. 15 indexed citations

Zhong, Xiaotian, Nilufer P. Seth, Z. Sean Juo, et al.. (2012). Engineering novel Lec1 glycosylation mutants in CHO–DUKX cells: Molecular insights and effector modulation of N‐acetylglucosaminyltransferase I. Biotechnology and Bioengineering. 109(7). 1723–1734. 23 indexed citations

Zhong, Xiaotian, Jennifer Pocas, Yan Liu, et al.. (2009). Swift residue‐screening identifies key N‐glycosylated asparagines sufficient for surface expression of neuroglycoprotein Lingo‐1. FEBS Letters. 583(6). 1034–1038. 5 indexed citations

Zhong, Xiaotian, et al.. (2008). Expression, purification and crystallization of the ecto-enzymatic domain of rat E-NTPDase1 CD39. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 64(11). 1063–1065. 3 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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