Paul M. Hayter

429 total citations
8 papers, 325 citations indexed

About

Paul M. Hayter is a scholar working on Molecular Biology, Genetics and Virology. According to data from OpenAlex, Paul M. Hayter has authored 8 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Virology. Recurrent topics in Paul M. Hayter's work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), Virus-based gene therapy research (2 papers) and Animal Virus Infections Studies (2 papers). Paul M. Hayter 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 Animal Virus Infections Studies (2 papers). Paul M. Hayter collaborates with scholars based in United Kingdom. Paul M. Hayter's co-authors include Alan T. Bull, Anthony J. Baines, Ian Salmon, Elisabeth M. A. Curling, Paula M. L. Castro, A. P. Ison, Giuseppe Ciaramella, Philip G. Strange, Nigel Jenkins and Fiona Smith and has published in prestigious journals such as Biotechnology and Bioengineering, Toxins and SLAS DISCOVERY.

In The Last Decade

Paul M. Hayter

8 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul M. Hayter United Kingdom 8 270 69 54 37 36 8 325
Kathleen M. McKenzie United States 8 332 1.2× 101 1.5× 56 1.0× 19 0.5× 29 0.8× 11 439
Anne Zemella Germany 9 374 1.4× 104 1.5× 55 1.0× 46 1.2× 18 0.5× 30 458
Ran Zichel Israel 12 174 0.6× 42 0.6× 26 0.5× 20 0.5× 92 2.6× 36 399
Brandon J. Sullivan United States 7 349 1.3× 69 1.0× 44 0.8× 34 0.9× 5 0.1× 9 419
John J. Scarcelli United States 12 643 2.4× 77 1.1× 52 1.0× 14 0.4× 7 0.2× 17 686
Ryan J. Austin United States 7 382 1.4× 136 2.0× 26 0.5× 13 0.4× 13 0.4× 9 408
Philippe Neuner Italy 11 475 1.8× 24 0.3× 30 0.6× 7 0.2× 23 0.6× 18 621
In‐Seok Oh South Korea 11 424 1.6× 96 1.4× 90 1.7× 41 1.1× 11 0.3× 13 463
Justine A. Malinski United States 10 308 1.1× 37 0.5× 34 0.6× 9 0.2× 69 1.9× 10 401
Ryan P. Bingham United Kingdom 8 175 0.6× 18 0.3× 22 0.4× 22 0.6× 14 0.4× 15 244

Countries citing papers authored by Paul M. Hayter

Since Specialization
Citations

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

Fields of papers citing papers by Paul M. Hayter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul M. Hayter. 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 Paul M. Hayter. The network helps show where Paul M. Hayter may publish in the future.

Co-authorship network of co-authors of Paul M. Hayter

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

All Works

8 of 8 papers shown
1.
Williams, Harry F., Paul M. Hayter, Divyashree Ravishankar, et al.. (2018). Impact of Naja nigricollis Venom on the Production of Methaemoglobin. Toxins. 10(12). 539–539. 13 indexed citations
2.
Hayter, Paul M., et al.. (2004). Development and Automation of a 384-Well Cell Fusion Assay to Identify Inhibitors of CCR5/CD4-Mediated HIV Virus Entry. SLAS DISCOVERY. 9(6). 516–524. 29 indexed citations
3.
Smith, Fiona, Christine A. Williams, Paul M. Hayter, et al.. (2003). Measuring Intracellular Calcium Fluxes in High Throughput Mode. Combinatorial Chemistry & High Throughput Screening. 6(4). 355–362. 40 indexed citations
4.
Smith, Fiona, Zhen Liu, Paul M. Hayter, et al.. (2002). High-Throughput Screening for Ion Channel Modulators. SLAS DISCOVERY. 7(5). 460–465. 38 indexed citations
5.
Castro, Paula M. L., A. P. Ison, Paul M. Hayter, & Alan T. Bull. (1996). CHO cell growth and recombinant interferon-? production: Effects of BSA, Pluronic and lipids. Cytotechnology. 19(1). 27–36. 22 indexed citations
6.
Castro, Paula M. L., A. P. Ison, Paul M. Hayter, & Alan T. Bull. (1995). The macroheterogeneity of recombinant human interferon-gamma produced by Chinese-hamster ovary cells is affected by the protein and lipid content of the culture medium.. PubMed. 21(1). 87–100. 37 indexed citations
7.
Hayter, Paul M., Elisabeth M. A. Curling, Anthony J. Baines, et al.. (1993). The effect of the dilution rate on CHO cell physiology and recombinant interferon‐γ production in glucose‐limited chemostat culture. Biotechnology and Bioengineering. 42(9). 1077–1085. 53 indexed citations
8.
Hayter, Paul M., et al.. (1992). Glucose‐limited chemostat culture of chinese hamster ovary cells producing recombinant human interferon‐γ. Biotechnology and Bioengineering. 39(3). 327–335. 93 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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