Michael J. Gramer

1.6k total citations
19 papers, 1.2k citations indexed

About

Michael J. Gramer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Michael J. Gramer has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biomedical Engineering. Recurrent topics in Michael J. Gramer's work include Viral Infectious Diseases and Gene Expression in Insects (15 papers), Protein purification and stability (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Michael J. Gramer is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (15 papers), Protein purification and stability (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Michael J. Gramer collaborates with scholars based in United States, Netherlands and Italy. Michael J. Gramer's co-authors include Charles F. Goochee, James R. Rasmussen, Dana C. Andersen, Wei‐Shou Hu, Bhanu Chandra Mulukutla, Patrick H.C. van Berkel, Ewald T.J. van den Bremer, Janine Schuurman, Amitava Kundu and Muriel D. van Kampen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Biotechnology and Bioengineering.

In The Last Decade

Michael J. Gramer

19 papers receiving 1.1k citations

Peers

Michael J. Gramer

RNMI

IMMUN

ONCOL

Martin Schlapschy Germany

Ginger Chao United States

Mehmet Kemal Tur Germany

Susan Dana Jones United States

John B. Briggs United States

Gregory L. Moore United States

Maureen Spearman Canada

James Bausch United States

Toshio Kudo Japan

Gertrudis Rojas Cuba

Martin Schlapschy Germany

Michael J. Gramer

651 ×0.7

364 ×0.6

RNMI

225 ×1.3

IMMUN

178 ×1.1

ONCOL

77 ×0.7

Citations per year, relative to Michael J. Gramer Michael J. Gramer (= 1×) peers Martin Schlapschy

Countries citing papers authored by Michael J. Gramer

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Gramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Gramer. 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 Michael J. Gramer. The network helps show where Michael J. Gramer may publish in the future.

Co-authorship network of co-authors of Michael J. Gramer

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

All Works

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19 of 19 papers shown

Gramer, Michael J., Muriel D. van Kampen, Amitava Kundu, et al.. (2013). Production of stable bispecific IgG1 by controlled Fab-arm exchange. mAbs. 5(6). 962–973. 64 indexed citations

Gramer, Michael J.. (2013). Product Quality Considerations for Mammalian Cell Culture Process Development and Manufacturing. Advances in biochemical engineering, biotechnology. 139. 123–166. 41 indexed citations

Labrijn, Aran F., Joyce Meesters, Bart E.C.G. de Goeij, et al.. (2013). Efficient generation of stable bispecific IgG1 by controlled Fab-arm exchange. Proceedings of the National Academy of Sciences. 110(13). 5145–5150. 251 indexed citations

Mulukutla, Bhanu Chandra, Michael J. Gramer, & Wei‐Shou Hu. (2012). On metabolic shift to lactate consumption in fed-batch culture of mammalian cells. Metabolic Engineering. 14(2). 138–149. 120 indexed citations

Gramer, Michael J., et al.. (2011). Modulation of antibody galactosylation through feeding of uridine, manganese chloride, and galactose. Biotechnology and Bioengineering. 108(7). 1591–1602. 140 indexed citations

Gramer, Michael J., et al.. (2007). A semi‐empirical mathematical model useful for describing the relationship between carbon dioxide, pH, lactate and base in a bicarbonate‐buffered cell‐culture process. Biotechnology and Applied Biochemistry. 47(4). 197–204. 12 indexed citations

Gramer, Michael J., et al.. (2003). Use of hollow fiber systems for rapid and direct scale up of antibody production from hybridoma cell lines cultured in CL-1000 flasks using BD Cell MAb medium. Cytotechnology. 42(3). 155–162. 11 indexed citations

Gramer, Michael J., et al.. (2003). Optimal NS0 Cell Growth in a Hollow Fiber Bioreactor Requires Increased Serum Concentration or a Cholesterol Supplement on the Cell Side of the Fiber. Biotechnology Progress. 19(6). 1762–1766. 4 indexed citations

Gramer, Michael J., et al.. (2002). Antibody production by a hybridoma cell line at high cell density is limited by two independent mechanisms. Biotechnology and Bioengineering. 79(3). 277–283. 15 indexed citations

10.

Gramer, Michael J., et al.. (2000). Selection and Isolation of Cells for Optimal Growth in Hollow Fiber Bioreactors. Hybridoma. 19(5). 407–412. 5 indexed citations

11.

Gramer, Michael J.. (2000). Detecting and Minimizing Glycosidase Activities that Can Hydrolyze Sugars from Cell Culture-Produced Glycoproteins. Molecular Biotechnology. 15(1). 69–75. 10 indexed citations

12.

Gramer, Michael J., et al.. (2000). Comparison of cell growth in T-flasks, in micro hollow fiber bioreactors, and in an industrial scale hollow fiber bioreactor system. Cytotechnology. 34(1-2). 111–119. 25 indexed citations

13.

Gramer, Michael J., et al.. (1999). Effect of harvesting protocol on performance of a hollow fiber bioreactor. Biotechnology and Bioengineering. 65(3). 334–340. 17 indexed citations

14.

Gramer, Michael J., et al.. (1998). Screening Tool for Hollow‐Fiber Bioreactor Process Development. Biotechnology Progress. 14(2). 203–209. 17 indexed citations

15.

Gramer, Michael J., et al.. (1995). Removal of Sialic Acid from a Glycoprotein in CHO Cell Culture Supernatant by Action of an Extracellular CHO Cell Sialidase. Nature Biotechnology. 13(7). 692–698. 86 indexed citations

16.

Gramer, Michael J., David V. Schaffer, Mary B. Sliwkowski, & Charles F. Goochee. (1994). Purification and characterization of α-L-fucosidase from Chinese hamster ovary cell culture supernatant. Glycobiology. 4(5). 611–616. 11 indexed citations

17.

Gramer, Michael J. & Charles F. Goochee. (1994). Glycosidase activities of the 293 and NS0 cell lines, and of an antibody‐producing hybridoma cell line. Biotechnology and Bioengineering. 43(5). 423–428. 32 indexed citations

18.

Gramer, Michael J. & Charles F. Goochee. (1993). Glycosidase Activities in Chinese Hamster Ovary Cell Lysate and Cell Culture Supernatant. Biotechnology Progress. 9(4). 366–373. 118 indexed citations

19.

Goochee, Charles F., et al.. (1991). The Oligosaccharides of Glycoproteins: Bioprocess Factors Affecting Oligosaccharide Structure and their Effect on Glycoprotein Properties. Bio/Technology. 9(12). 1347–1355. 227 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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