Philip E. Carter

445 total citations
8 papers, 374 citations indexed

About

Philip E. Carter is a scholar working on Hematology, Genetics and Infectious Diseases. According to data from OpenAlex, Philip E. Carter has authored 8 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Philip E. Carter's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and HIV Research and Treatment (2 papers). Philip E. Carter is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and HIV Research and Treatment (2 papers). Philip E. Carter collaborates with scholars based in United Kingdom, India and France. Philip E. Carter's co-authors include John E. Fothergill, B. Dunbar, Christiane Duponchel, Mario Tosi, Maria R. Amezaga, Phillip Cash, Hamish McKenzie, Tadashi Ariga, Alvin E. Davis and Lesley Allison and has published in prestigious journals such as Journal of Bacteriology, Journal of Clinical Microbiology and European Journal of Biochemistry.

In The Last Decade

Philip E. Carter

8 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip E. Carter United Kingdom 6 167 106 90 75 73 8 374
D Casareale United States 8 31 0.2× 56 0.5× 72 0.8× 81 1.1× 85 1.2× 12 318
Leanne Purins Australia 9 131 0.8× 166 1.6× 154 1.7× 25 0.3× 21 0.3× 12 525
Amir Hossein Taromchi Iran 11 73 0.4× 113 1.1× 57 0.6× 47 0.6× 12 0.2× 19 319
S Y Zhao China 8 44 0.3× 196 1.8× 32 0.4× 66 0.9× 25 0.3× 17 354
Ryuichi Motoda Japan 15 29 0.2× 301 2.8× 74 0.8× 247 3.3× 38 0.5× 22 618
A. Simons Netherlands 7 65 0.4× 275 2.6× 120 1.3× 24 0.3× 15 0.2× 12 496
Kristian Alsbjerg Skipper Denmark 9 34 0.2× 187 1.8× 18 0.2× 146 1.9× 73 1.0× 13 372
Todd M. Vogt United States 8 50 0.3× 139 1.3× 69 0.8× 463 6.2× 159 2.2× 9 692
Anne Nicholson United States 12 79 0.5× 127 1.2× 111 1.2× 244 3.3× 65 0.9× 15 434
Melinda E. Varney United States 12 30 0.2× 218 2.1× 157 1.7× 149 2.0× 100 1.4× 19 465

Countries citing papers authored by Philip E. Carter

Since Specialization
Citations

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

Fields of papers citing papers by Philip E. Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip E. Carter. 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 Philip E. Carter. The network helps show where Philip E. Carter may publish in the future.

Co-authorship network of co-authors of Philip E. Carter

This figure shows the co-authorship network connecting the top 25 collaborators of Philip E. Carter. A scholar is included among the top collaborators of Philip E. Carter 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 Philip E. Carter. Philip E. Carter 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.
Amezaga, Maria R., Philip E. Carter, Phillip Cash, & Hamish McKenzie. (2002). Molecular Epidemiology of Erythromycin Resistance in Streptococcus pneumoniae Isolates from Blood and Noninvasive Sites. Journal of Clinical Microbiology. 40(9). 3313–3318. 80 indexed citations
2.
Allison, Lesley, Philip E. Carter, & Fiona M. Thomson-Carter. (2000). Characterization of a Recurrent Clonal Type of Escherichia coli O157:H7 Causing Major Outbreaks of Infection in Scotland. Journal of Clinical Microbiology. 38(4). 1632–1635. 21 indexed citations
3.
Leng, Roger, Philip E. Carter, & Alistair J. P. Brown. (1998). The TATA-Binding Protein (TBP) from the Human Fungal PathogenCandida albicansCan Complement Defects in Human and Yeast TBPs. Journal of Bacteriology. 180(7). 1771–1776. 3 indexed citations
4.
Carter, Philip E., Christiane Duponchel, Mario Tosi, & John E. Fothergill. (1991). Complete nucleotide sequence of the gene for human C1 inhibitor with an unusually high density of Alu elements. European Journal of Biochemistry. 197(2). 301–308. 99 indexed citations
5.
Ariga, Tadashi, Philip E. Carter, & Alvin E. Davis. (1990). Recombinations between Alu repeat sequences that result in partial deletions within the C1 inhibitor gene. Genomics. 8(4). 607–613. 41 indexed citations
6.
Carter, Philip E., B. Dunbar, & John E. Fothergill. (1988). Genomic and cDNA cloning of the human C1 inhibitor. European Journal of Biochemistry. 173(1). 163–169. 49 indexed citations
7.
Carter, Philip E., et al.. (1987). Molecular cloning of cDNA for human complement component C1s. European Journal of Biochemistry. 169(3). 547–553. 79 indexed citations
8.
Carter, Philip E., B. Dunbar, & John E. Fothergill. (1982). Amino acid sequence of a CNBr fragment of human complement component Cls containing the active-site serine residue. Biochemical Society Transactions. 10(6). 441–442. 2 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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