T. Greg Hislop

33 total papers · 1.5k total citations
25 papers, 1.2k citations indexed

About

T. Greg Hislop is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Otorhinolaryngology. According to data from OpenAlex, T. Greg Hislop has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Otorhinolaryngology. Recurrent topics in T. Greg Hislop's work include Global Cancer Incidence and Screening (5 papers), Cancer Risks and Factors (5 papers) and Head and Neck Cancer Studies (4 papers). T. Greg Hislop is often cited by papers focused on Global Cancer Incidence and Screening (5 papers), Cancer Risks and Factors (5 papers) and Head and Neck Cancer Studies (4 papers). T. Greg Hislop collaborates with scholars based in Canada, United States and Italy. T. Greg Hislop's co-authors include Geoffrey R. Howe, Thomas E. Rohan, YU Shun-zhang, José Iscovich, Paolo Toniolo, Flora Lubin, Ettore Marubini, T Hirohata, Baruch Modan and Klea Katsouyanni and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, International Journal of Cancer and Medical Care.

In The Last Decade

T. Greg Hislop

25 papers receiving 1.1k citations

Hit Papers

Dietary Factors and Risk ... 1990 2026 2002 2014 1990 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
T. Greg Hislop 535 496 228 177 150 25 1.2k
Jinfu Hu 427 0.8× 387 0.8× 149 0.7× 198 1.1× 127 0.8× 30 1.3k
Leila Abar 528 1.0× 429 0.9× 153 0.7× 152 0.9× 81 0.5× 21 1.3k
C Pasche 401 0.7× 427 0.9× 118 0.5× 158 0.9× 154 1.0× 17 1.3k
Yoshiyuki Ohno 444 0.8× 267 0.5× 162 0.7× 120 0.7× 106 0.7× 28 1.5k
Mitsuo Segi 537 1.0× 282 0.6× 156 0.7× 176 1.0× 94 0.6× 29 1.4k
THOMAS RZEPKA 434 0.8× 361 0.7× 144 0.6× 174 1.0× 129 0.9× 9 1.2k
M. L. Slattery 392 0.7× 256 0.5× 223 1.0× 175 1.0× 114 0.8× 10 1.0k
Lisa Levy 377 0.7× 278 0.6× 105 0.5× 209 1.2× 104 0.7× 42 1.1k
Salvatore Barra 438 0.8× 317 0.6× 80 0.4× 179 1.0× 90 0.6× 23 1.4k
M.J. Stampfer 247 0.5× 194 0.4× 136 0.6× 190 1.1× 115 0.8× 18 938

Countries citing papers authored by T. Greg Hislop

Since Specialization
Citations

This map shows the geographic impact of T. Greg Hislop'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 T. Greg Hislop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Greg Hislop more than expected).

Fields of papers citing papers by T. Greg Hislop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Greg Hislop. 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 T. Greg Hislop. The network helps show where T. Greg Hislop may publish in the future.

Co-authorship network of co-authors of T. Greg Hislop

This figure shows the co-authorship network connecting the top 25 collaborators of T. Greg Hislop. A scholar is included among the top collaborators of T. Greg Hislop 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 T. Greg Hislop. T. Greg Hislop 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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