Michael Cukan

935 total citations
8 papers, 398 citations indexed

About

Michael Cukan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Michael Cukan has authored 8 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Infectious Diseases. Recurrent topics in Michael Cukan's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Michael Cukan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Michael Cukan collaborates with scholars based in United States, Ireland and Japan. Michael Cukan's co-authors include Terrance A. Stadheim, Youwei Jiang, Teresa Mitchell, Dongxing Zha, Marc d′Anjou, Muralidhar Mallem, Huijuan Li, Adam Nylen, Nga Rewa Houston-Cummings and J. E. Drummond and has published in prestigious journals such as Journal of Immunological Methods, Journal of Biotechnology and mAbs.

In The Last Decade

Michael Cukan

8 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Cukan United States	8	312	228	93	70	37	8	398
Natalia I. Majewska United States	9	464 1.5×	155 0.7×	70 0.8×	59 0.8×	8 0.2×	12	525
Horst Bierau Italy	11	296 0.9×	178 0.8×	42 0.5×	58 0.8×	5 0.1×	17	364
Ina Theobald Germany	6	336 1.1×	197 0.9×	32 0.3×	66 0.9×	7 0.2×	7	459
Saori Ishida Japan	8	136 0.4×	126 0.6×	53 0.6×	55 0.8×	21 0.6×	14	421
Gregg Wallis United Kingdom	8	175 0.6×	57 0.3×	77 0.8×	23 0.3×	17 0.5×	14	285
Elisabeth M. A. Curling United Kingdom	6	474 1.5×	149 0.7×	69 0.7×	59 0.8×	9 0.2×	9	525
Marcos Oggero Argentina	12	302 1.0×	161 0.7×	36 0.4×	101 1.4×	4 0.1×	39	437
Kai Zheng China	4	304 1.0×	240 1.1×	30 0.3×	73 1.0×	7 0.2×	5	348
Haofei Hong China	14	286 0.9×	170 0.7×	39 0.4×	106 1.5×	6 0.2×	45	418
Gavin Teo Singapore	10	352 1.1×	122 0.5×	48 0.5×	36 0.5×	5 0.1×	13	418

Countries citing papers authored by Michael Cukan

Since Specialization

Citations

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

Fields of papers citing papers by Michael Cukan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Cukan

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

All Works

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8 of 8 papers shown

1.

Cukan, Michael, Daniel Hopkins, Irina Burnina, et al.. (2012). Binding of DC-SIGN to glycoproteins expressed in glycoengineered Pichia pastoris. Journal of Immunological Methods. 386(1-2). 34–42. 14 indexed citations

2.

Zhang, Ningyan, Li Liu, Calin Dan Dumitru, et al.. (2011). Glycoengineered Pichia produced anti-HER2 is comparable to trastuzumab in preclinical study. mAbs. 3(3). 289–298. 74 indexed citations

3.

Jiang, Youwei, et al.. (2010). A high-throughput purification of monoclonal antibodies from glycoengineered Pichia pastoris. Protein Expression and Purification. 74(1). 9–15. 17 indexed citations

4.

Jiang, Youwei, Fang Li, Dongxing Zha, et al.. (2010). Purification process development of a recombinant monoclonal antibody expressed in glycoengineered Pichia pastoris. Protein Expression and Purification. 76(1). 7–14. 23 indexed citations

5.

An, Zhiqiang, Gail Forrest, Renée Moore, et al.. (2009). IgG2m4, an engineered antibody isotype with reduced Fc function. mAbs. 1(6). 572–579. 75 indexed citations

6.

Choi, Byung‐Kwon, Jeffrey K. Actor, Sandra Rios, et al.. (2008). Recombinant human lactoferrin expressed in glycoengineered Pichia pastoris: effect of terminal N-acetylneuraminic acid on in vitro secondary humoral immune response. Glycoconjugate Journal. 25(6). 581–593. 61 indexed citations

7.

Gong, Bing, Michael Cukan, Richard Fisher, et al.. (2008). Characterization of N-Linked Glycosylation on Recombinant Glycoproteins Produced in Pichia pastoris Using ESI-MS and MALDI-TOF. Humana Press eBooks. 534. 213–223. 18 indexed citations

8.

Potgieter, Thomas I., Michael Cukan, J. E. Drummond, et al.. (2008). Production of monoclonal antibodies by glycoengineered Pichia pastoris. Journal of Biotechnology. 139(4). 318–325. 116 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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