Rodney G. Combs

470 total citations
9 papers, 358 citations indexed

About

Rodney G. Combs is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Rodney G. Combs has authored 9 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Infectious Diseases. Recurrent topics in Rodney G. Combs's work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), Protein purification and stability (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Rodney G. Combs is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (4 papers), Protein purification and stability (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Rodney G. Combs collaborates with scholars based in United States and Canada. Rodney G. Combs's co-authors include Catherine S. Tripp, Q K Huynh, Troii Hall, H. Brett Schreyer, Adele Russo, Ellen L. McCormick, Rachel Legmann, K K Kretzmer, Advait Badkar and Sumathy Mathialagan and has published in prestigious journals such as Journal of Biological Chemistry, Current Opinion in Biotechnology and Journal of Pharmaceutical Sciences.

In The Last Decade

Rodney G. Combs

9 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rodney G. Combs United States	8	210	129	103	46	41	9	358
Francesca Piaggio Italy	11	206 1.0×	150 1.2×	61 0.6×	103 2.2×	24 0.6×	16	475
Ensieh Farahani Denmark	5	235 1.1×	146 1.1×	62 0.6×	89 1.9×	12 0.3×	6	370
Christelle Parent France	13	173 0.8×	68 0.5×	48 0.5×	86 1.9×	37 0.9×	22	459
Edina Gyukity-Sebestyén Hungary	10	216 1.0×	122 0.9×	131 1.3×	22 0.5×	59 1.4×	14	376
Ellen G. F. Borg Netherlands	8	268 1.3×	208 1.6×	106 1.0×	49 1.1×	6 0.1×	8	417
Kaixin He China	8	305 1.5×	173 1.3×	32 0.3×	76 1.7×	43 1.0×	13	481
Ying Kong China	11	379 1.8×	58 0.4×	77 0.7×	114 2.5×	94 2.3×	27	497
Joshua J. Thompson United States	12	269 1.3×	65 0.5×	74 0.7×	87 1.9×	7 0.2×	24	424
Tom J.M. Molenaar Netherlands	10	192 0.9×	78 0.6×	32 0.3×	28 0.6×	17 0.4×	14	368

Countries citing papers authored by Rodney G. Combs

Since Specialization

Citations

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

Fields of papers citing papers by Rodney G. Combs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rodney G. Combs. 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 Rodney G. Combs. The network helps show where Rodney G. Combs may publish in the future.

Co-authorship network of co-authors of Rodney G. Combs

This figure shows the co-authorship network connecting the top 25 collaborators of Rodney G. Combs. A scholar is included among the top collaborators of Rodney G. Combs 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 Rodney G. Combs. Rodney G. Combs 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

Badkar, Advait, et al.. (2022). The Race to Develop the Pfizer-BioNTech COVID-19 Vaccine: From the Pharmaceutical Scientists’ Perspective. Journal of Pharmaceutical Sciences. 112(3). 640–647. 29 indexed citations

Thorn, Chelsea R., et al.. (2022). The journey of a lifetime — development of Pfizer’s COVID-19 vaccine. Current Opinion in Biotechnology. 78. 102803–102803. 27 indexed citations

McLaughlin, Joseph, et al.. (2018). Scale‐dependent manganese leaching from stainless steel impacts terminal galactosylation in monoclonal antibodies. Biotechnology Progress. 34(5). 1290–1297. 11 indexed citations

Combs, Rodney G., et al.. (2010). Fed‐batch bioreactor performance and cell line stability evaluation of the artificial chromosome expression technology expressing an IgG1 in chinese hamster ovary cells. Biotechnology Progress. 27(1). 201–208. 6 indexed citations

Legmann, Rachel, et al.. (2009). A predictive high‐throughput scale‐down model of monoclonal antibody production in CHO cells. Biotechnology and Bioengineering. 104(6). 1107–1120. 64 indexed citations

Pierce, Jennifer L., et al.. (2003). Improvements in spinner‐flask designs for insect‐cell suspension culture. Biotechnology and Applied Biochemistry. 38(1). 15–18. 9 indexed citations

Kishore, Nandini, Q K Huynh, Sumathy Mathialagan, et al.. (2002). IKK-i and TBK-1 are Enzymatically Distinct from the Homologous Enzyme IKK-2. Journal of Biological Chemistry. 277(16). 13840–13847. 115 indexed citations

Huynh, Q K, Carol M. Koboldt, Troii Hall, et al.. (2000). Characterization of the Recombinant IKK1/IKK2 Heterodimer. Journal of Biological Chemistry. 275(34). 25883–25891. 54 indexed citations

Palmier, Mark O., K K Kretzmer, Rodney G. Combs, et al.. (1994). Refold and Characterization of Recombinant Tissue Factor Pathway Inhibitor Expressed in Escherichia coli. Thrombosis and Haemostasis. 71(3). 339–346. 43 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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