John T. Leith

3.1k citations
131 papers · 2.4k indexed · h-index 29

Impact in

Papers in

John T. Leith

128 papers receiving 2.2k citations

Peers

John T. Leith
Comparison fields: 5 of 119
  • Modeling and Simulation 337
  • Cancer Research 563
  • Radiology, Nuclear Medicine and Imaging 618
  • Radiation 224
  • Oncology 592
Replace Allan J. Franko with:
Allan J. Franko Canada
Robert F. Kallman United States
N. J. McNally United Kingdom
W. R. Inch Canada
E Frindel France
R. E. Durand Canada
Heidi Lyng Norway
C.S. Parkins United Kingdom
Marie‐France Poupon France
Anne W. Hamburger United States
John T. Leith relative to Allan J. Franko Canada Allan J. Franko's profile →
Citations per field
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Citations per year

Countries citing papers authored by John T. Leith

Since Specialization
Citations

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

Fields of papers citing papers by John T. Leith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John T. Leith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John T. Leith Line = papers co-authored together John T. Leith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986177
2 1977116
3 201579
4 197566
5
Enhancement of radiation injury in human colon tumor cells by the maturational agent sodium butyrate (NaB).
198561
6 198758
7 198549
8 199346
9
Growth properties of artificial heterogeneous human colon tumors.
198743
10
Alteration of the survival response of two human colon carcinoma subpopulations to x-irradiation by N,N-dimethylformamide.
198242
11 199241
12 198541
13 199440
14 201439
15 197937
16 199436
17 199536
18 197735
19 198734
20 199433

About John T. Leith

John T. Leith is a scholar working on Modeling and Simulation, Cancer Research, Radiation, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 131 papers that have together received 2.4k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (31 papers), Radiation Therapy and Dosimetry (26 papers), Cancer, Hypoxia, and Metabolism (22 papers), Mathematical Biology Tumor Growth (20 papers), Advanced Radiotherapy Techniques (14 papers), Cancer Cells and Metastasis (11 papers), Cancer Genomics and Diagnostics (11 papers) and Radiopharmaceutical Chemistry and Applications (9 papers). The work is most often cited by research in Modeling and Simulation (337 citations), Cancer Research (563 citations), Radiology, Nuclear Medicine and Imaging (618 citations), Radiation (224 citations) and Oncology (592 citations). John T. Leith has collaborated with scholars based in United States, Poland and Taiwan. Frequent co-authors include Daniel L. Dexter, Arvin S. Glicksman, S Michelson, Seth Michelson, Eugene W. Gerner, W. Schilling, Max L. M. Boone, Kenneth T. Wheeler, Robert C. Miller and Paul J. Davis. Their work appears in journals such as Radiation Research, International Journal of Radiation Oncology*Biology*Physics, Bulletin of Mathematical Biology, Cell Proliferation and Cancer.

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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