C. Grafton

22 total papers · 710 total citations
18 papers, 531 citations indexed

About

C. Grafton is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, C. Grafton has authored 18 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 8 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in C. Grafton's work include Lung Cancer Diagnosis and Treatment (7 papers), Lung Cancer Research Studies (5 papers) and Neuroendocrine Tumor Research Advances (4 papers). C. Grafton is often cited by papers focused on Lung Cancer Diagnosis and Treatment (7 papers), Lung Cancer Research Studies (5 papers) and Neuroendocrine Tumor Research Advances (4 papers). C. Grafton collaborates with scholars based in Canada and United Kingdom. C. Grafton's co-authors include David E. Woolley, Nevin Murray, Anand P. Shah, David Osoba, R.N. Fairey, Karen Goddard, Joseph L. Pater, Peter Dixon, C. Lochrin and James R. Wright and has published in prestigious journals such as Journal of Clinical Oncology, Cochrane Database of Systematic Reviews and British Journal of Cancer.

In The Last Decade

C. Grafton

17 papers receiving 501 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
C. Grafton 349 242 217 142 50 18 531
C. Farley 398 1.1× 283 1.2× 95 0.4× 183 1.3× 69 1.4× 20 606
Benjamin C. Garden 285 0.8× 107 0.4× 91 0.4× 103 0.7× 79 1.6× 13 535
Kenneth Pennington 286 0.8× 206 0.9× 157 0.7× 162 1.1× 68 1.4× 28 594
B. Pellae-Cosset 244 0.7× 234 1.0× 75 0.3× 40 0.3× 108 2.2× 21 488
Natalyn Hawk 432 1.2× 175 0.7× 164 0.8× 126 0.9× 91 1.8× 25 573
Carol A. Sherman 317 0.9× 378 1.6× 64 0.3× 126 0.9× 108 2.2× 28 554
Hisao Uejima 373 1.1× 375 1.5× 35 0.2× 129 0.9× 34 0.7× 22 551
Seymour Hopfan 276 0.8× 252 1.0× 140 0.6× 76 0.5× 190 3.8× 18 563
M. V. Williams 178 0.5× 221 0.9× 80 0.4× 141 1.0× 182 3.6× 24 610
D C Ihde 465 1.3× 248 1.0× 267 1.2× 178 1.3× 39 0.8× 21 609

Countries citing papers authored by C. Grafton

Since Specialization
Citations

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

Fields of papers citing papers by C. Grafton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Grafton

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

All Works

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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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