Martin S. Sinacore

474 total citations
10 papers, 361 citations indexed

About

Martin S. Sinacore is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Martin S. Sinacore has authored 10 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Surgery. Recurrent topics in Martin S. Sinacore's work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Virus-based gene therapy research (5 papers) and Protein purification and stability (5 papers). Martin S. Sinacore is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (8 papers), Virus-based gene therapy research (5 papers) and Protein purification and stability (5 papers). Martin S. Sinacore collaborates with scholars based in United States, Ireland and India. Martin S. Sinacore's co-authors include S. Robert Adamson, Denis Drapeau, Patrick Gammell, Mark Leonard, Paula Meleady, Padraig Doolan, Martin Clynes, Mark Melville, Michael Henry and Kevin McCarthy and has published in prestigious journals such as Nature Biotechnology, Virology and Biotechnology and Bioengineering.

In The Last Decade

Martin S. Sinacore

10 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin S. Sinacore United States 9 321 118 67 48 40 10 361
Elisabeth M. A. Curling United Kingdom 6 474 1.5× 101 0.9× 149 2.2× 45 0.9× 69 1.7× 9 525
Danny Wong Singapore 7 473 1.5× 97 0.8× 149 2.2× 35 0.7× 62 1.6× 9 497
Gyun Min Lee South Korea 10 328 1.0× 75 0.6× 83 1.2× 38 0.8× 41 1.0× 12 361
No Soo Kim South Korea 9 641 2.0× 258 2.2× 130 1.9× 48 1.0× 71 1.8× 10 663
Dethardt Müller Austria 10 396 1.2× 86 0.7× 127 1.9× 53 1.1× 36 0.9× 16 476
Steven Lang United States 9 377 1.2× 101 0.9× 53 0.8× 22 0.5× 24 0.6× 11 436
Alison J. Mastrangelo United States 8 350 1.1× 129 1.1× 29 0.4× 37 0.8× 28 0.7× 10 412
Lena Thoring Germany 10 416 1.3× 66 0.6× 123 1.8× 58 1.2× 75 1.9× 16 500
Joon Chong Yee United States 9 451 1.4× 143 1.2× 110 1.6× 17 0.4× 51 1.3× 9 469
George Dutina United States 6 329 1.0× 60 0.5× 109 1.6× 72 1.5× 42 1.1× 7 384

Countries citing papers authored by Martin S. Sinacore

Since Specialization
Citations

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

Fields of papers citing papers by Martin S. Sinacore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin S. Sinacore. 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 Martin S. Sinacore. The network helps show where Martin S. Sinacore may publish in the future.

Co-authorship network of co-authors of Martin S. Sinacore

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

All Works

10 of 10 papers shown
1.
Gilbert, Alan, et al.. (2013). Investigation of metabolic variability observed in extended fed batch cell culture. Biotechnology Progress. 29(6). 1519–1527. 30 indexed citations
2.
Sinacore, Martin S., et al.. (2012). Improvement in accuracy and specificity of high-throughput sialic acid assay. Analytical Methods. 4(11). 3565–3565. 3 indexed citations
3.
4.
Doolan, Padraig, Mark Melville, Patrick Gammell, et al.. (2008). Transcriptional Profiling of Gene Expression Changes in a PACE-Transfected CHO DUKX Cell Line Secreting High Levels of rhBMP-2. Molecular Biotechnology. 39(3). 187–199. 43 indexed citations
5.
Meleady, Paula, Michael Henry, Patrick Gammell, et al.. (2008). Proteomic profiling of CHO cells with enhanced rhBMP‐2 productivity following co‐expression of PACEsol. PROTEOMICS. 8(13). 2611–2624. 43 indexed citations
6.
Sinacore, Martin S., Denis Drapeau, & S. Robert Adamson. (2000). Adaptation of Mammalian Cells to Growth in Serum-Free Media. Molecular Biotechnology. 15(3). 249–258. 91 indexed citations
7.
Sinacore, Martin S., Scott H. Harrison, Thomas J. Richards, et al.. (1996). CHO DUKX cell lineages preadapted to growth in serum-free suspension culture enable rapid development of cell culture processes for the manufacture of recombinant proteins. Biotechnology and Bioengineering. 52(4). 518–528. 33 indexed citations
8.
Drapeau, Denis, et al.. (1994). Extracellular insulin degrading activity creates instability in a CHO-based batch-refeed continuous process. Cytotechnology. 15(1-3). 103–109. 8 indexed citations
9.
Sinacore, Martin S., et al.. (1989). Entrapment and Growth of Murine Hybridoma Cells in Calcium Alginate Gel Microbeads. Nature Biotechnology. 7(12). 1275–1279. 26 indexed citations
10.
Sinacore, Martin S. & Jean Lucas‐Lenard. (1982). The effect of the vesicular stomatitis virus-associated protein kinase on viral rnRNA transcription in vitro. Virology. 121(2). 404–413. 15 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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