Gary Pettman

840 total citations
9 papers, 531 citations indexed

About

Gary Pettman is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, Gary Pettman has authored 9 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Organic Chemistry. Recurrent topics in Gary Pettman's work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), Virus-based gene therapy research (2 papers) and Melanoma and MAPK Pathways (2 papers). Gary Pettman is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (4 papers), Virus-based gene therapy research (2 papers) and Melanoma and MAPK Pathways (2 papers). Gary Pettman collaborates with scholars based in United Kingdom and United States. Gary Pettman's co-authors include Paul S. Carter, Murray J. B. Brown, Alastair D. Reith, Angela Bridges, Ceri Lewis, Diane Hatton, B.D. Bax, Olalekan Daramola, Ray Field and Greg Dean and has published in prestigious journals such as Biotechnology and Bioengineering, Structure and Biotechnology Progress.

In The Last Decade

Gary Pettman

9 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary Pettman United Kingdom	7	403	126	69	55	54	9	531
Assou El Battari France	16	493 1.2×	242 1.9×	58 0.8×	56 1.0×	99 1.8×	28	677
Arthur Marivin United States	17	469 1.2×	102 0.8×	94 1.4×	39 0.7×	58 1.1×	22	574
Constance M. Ely United States	8	349 0.9×	56 0.4×	85 1.2×	58 1.1×	76 1.4×	10	449
Ramon Rosal United States	9	605 1.5×	132 1.0×	69 1.0×	21 0.4×	129 2.4×	14	703
Shirley Pullan United Kingdom	8	256 0.6×	85 0.7×	53 0.8×	22 0.4×	99 1.8×	12	442
Folkert Verkaar Netherlands	15	364 0.9×	71 0.6×	37 0.5×	71 1.3×	124 2.3×	17	548
Christopher M. Murawsky United States	8	382 0.9×	56 0.4×	42 0.6×	76 1.4×	106 2.0×	10	499
Mitchell B. Berkenpas United States	8	642 1.6×	130 1.0×	84 1.2×	18 0.3×	76 1.4×	9	1.1k
I Geffen Switzerland	11	418 1.0×	72 0.6×	194 2.8×	56 1.0×	60 1.1×	13	526
Sigal Katz Israel	9	523 1.3×	60 0.5×	113 1.6×	19 0.3×	112 2.1×	9	642

Countries citing papers authored by Gary Pettman

Since Specialization

Citations

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

Fields of papers citing papers by Gary Pettman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Pettman

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Pettman. A scholar is included among the top collaborators of Gary Pettman 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 Gary Pettman. Gary Pettman 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

Bond, Nicholas J., Stephen Milne, Amanda L. Lewis, et al.. (2017). N‐terminal or signal peptide sequence engineering prevents truncation of human monoclonal antibody light chains. Biotechnology and Bioengineering. 114(9). 1970–1977. 22 indexed citations

Mead, Emma J., Olalekan Daramola, Diane Hatton, et al.. (2017). Polysome profiling of mAb producing CHO cell lines links translational control of cell proliferation and recombinant mRNA loading onto ribosomes with global and recombinant protein synthesis. Biotechnology Journal. 12(8). 12 indexed citations

Daramola, Olalekan, Jessica Stevenson, Greg Dean, et al.. (2013). A high‐yielding CHO transient system: Coexpression of genes encoding EBNA‐1 and GS enhances transient protein expression. Biotechnology Progress. 30(1). 132–141. 95 indexed citations

Smith, Kathrine J., Paul S. Carter, Angela Bridges, et al.. (2004). The Structure of MSK1 Reveals a Novel Autoinhibitory Conformation for a Dual Kinase Protein. Structure. 12(6). 1067–1077. 41 indexed citations

Holmes, Steve, Angela M. Downs, Andrew Fosberry, et al.. (2002). Sema7A is a Potent Monocyte Stimulator. Scandinavian Journal of Immunology. 56(3). 270–275. 131 indexed citations

Carter, Paul S., David Mills, Gary Pettman, et al.. (2002). Expression and Purification of Functional JNK2β2: Perspectives on High-Level Production of Recombinant MAP Kinases. Protein Expression and Purification. 24(1). 25–32. 5 indexed citations

Bax, B.D., Paul S. Carter, Ceri Lewis, et al.. (2001). The Structure of Phosphorylated GSK-3β Complexed with a Peptide, FRATtide, that Inhibits β-Catenin Phosphorylation. Structure. 9(12). 1143–1152. 172 indexed citations

Carter, Paul S., Sandra Turconi, Gary Pettman, et al.. (2000). Expression, Purification, and Functional Analysis of the Human Serine Protease HtrA2. Protein Expression and Purification. 19(2). 227–234. 49 indexed citations

Nuttall, Mark, John C. Lee, Paul R. Murdock, et al.. (1999). Amphibian Melanophore Technology as a Functional Screen for Antagonists of G-Protein Coupled 7-Transmembrane Receptors. SLAS DISCOVERY. 4(5). 269–277. 4 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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