Ken Boakye

402 total citations
8 papers, 339 citations indexed

About

Ken Boakye is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ken Boakye has authored 8 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ken Boakye's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Chemokine receptors and signaling (3 papers). Ken Boakye is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Chemokine receptors and signaling (3 papers). Ken Boakye collaborates with scholars based in United States and Belgium. Ken Boakye's co-authors include Arthur J. Lustig, Eilyn R. Lacy, Mark L. Chiu, José R. Pardinas, Manuel A. Sepúlveda, Stephen Jarantow, Barbara S. Bushey, Renouard Sanders, Sheri L. Moores and Sandra Santulli-Marotto and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Ken Boakye

8 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Boakye United States 7 273 146 58 47 46 8 339
Alexandra Smirnova Italy 9 248 0.9× 67 0.5× 19 0.3× 56 1.2× 19 0.4× 26 333
Isabelle Savre‐Train United States 8 264 1.0× 211 1.4× 38 0.7× 33 0.7× 34 0.7× 10 409
Enzo Tedone United States 9 278 1.0× 201 1.4× 3 0.1× 30 0.6× 46 1.0× 12 406
Bruno Lemieux Canada 9 371 1.4× 120 0.8× 5 0.1× 62 1.3× 9 0.2× 14 449
Gerald Wallweber United States 11 178 0.7× 40 0.3× 29 0.5× 93 2.0× 3 0.1× 14 298
Heidi Giese United States 8 282 1.0× 57 0.4× 4 0.1× 42 0.9× 69 1.5× 10 369
Sophie Gilbert Canada 6 180 0.7× 128 0.9× 3 0.1× 85 1.8× 15 0.3× 9 308
Wei-Feng Yen United States 10 195 0.7× 53 0.4× 8 0.1× 48 1.0× 9 0.2× 15 340
Matteo Cabrini Italy 7 518 1.9× 52 0.4× 9 0.2× 69 1.5× 14 0.3× 9 577
Penelope A. Mason United Kingdom 8 391 1.4× 103 0.7× 5 0.1× 27 0.6× 30 0.7× 11 437

Countries citing papers authored by Ken Boakye

Since Specialization
Citations

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

Fields of papers citing papers by Ken Boakye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Boakye

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

All Works

8 of 8 papers shown
1.
Paul, Suparna, et al.. (2016). An efficient process of generating bispecific antibodies via controlled Fab-arm exchange using culture supernatants. Protein Expression and Purification. 121. 133–140. 18 indexed citations
2.
Jarantow, Stephen, Barbara S. Bushey, José R. Pardinas, et al.. (2015). Impact of Cell-surface Antigen Expression on Target Engagement and Function of an Epidermal Growth Factor Receptor × c-MET Bispecific Antibody. Journal of Biological Chemistry. 290(41). 24689–24704. 44 indexed citations
3.
Santulli-Marotto, Sandra, J. C. Wheeler, Eilyn R. Lacy, et al.. (2015). CCL22-specific Antibodies Reveal That Engagement of Two Distinct Binding Domains on CCL22 Is Required for CCR4-mediated Function. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 34(6). 373–380. 3 indexed citations
4.
Kehoe, John W., Brian Whitaker, Eilyn R. Lacy, et al.. (2014). Isolation and optimization for affinity and biophysical characteristics of anti-CCL17 antibodies from the VH1-69 germline gene. Protein Engineering Design and Selection. 27(6). 199–206. 13 indexed citations
5.
Santulli-Marotto, Sandra, Ken Boakye, Tadas Panavas, et al.. (2013). Surrogate Antibodies That Specifically Bind and Neutralize CCL17 But Not CCL22. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 32(3). 162–171. 9 indexed citations
6.
Santulli-Marotto, Sandra, Ken Boakye, Eilyn R. Lacy, et al.. (2013). Engagement of Two Distinct Binding Domains on CCL17 Is Required for Signaling through CCR4 and Establishment of Localized Inflammatory Conditions in the Lung. PLoS ONE. 8(12). e81465–e81465. 15 indexed citations
7.
Mills, Juliane K., Ken Boakye, Jinquan Luo, et al.. (2007). Expression and characterization of a human BMP-7 variant with improved biochemical properties. Protein Expression and Purification. 57(2). 312–319. 33 indexed citations
8.
Boakye, Ken, et al.. (1992). C-Terminal Truncation of RAP1 Results in the Deregulation of Telomere Size, Stability, and Function in Saccharomyces cerevisiae. Molecular and Cellular Biology. 12(11). 5159–5173. 204 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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