Gary Box

4.5k citations
36 papers · 1.2k · h-index 19

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Protease and Inhibitor Mechanisms
  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • HER2/EGFR in Cancer Research
    • Peptidase Inhibition and Analysis

Papers in

Gary Box

35 papers receiving 1.2k citations

Peers

Gary Box
Comparison fields: 5 of 81
  • Cancer Research 212
  • Oncology 374
  • Cell Biology 166
  • Molecular Biology 595
  • Radiology, Nuclear Medicine and Imaging 165
Replace Grant Wickman with:
Grant Wickman United Kingdom
Cristina Basilico Italy
Toni M. Brand United States
Yongping Crawford United States
Brian R. Stoll United States
Jun Nakayama Japan
Wendy Béguelin United States
Suresh Veeramani United States
Fangxian Sun United States
Pascal Peschard Canada
Gary Box relative to Grant Wickman United Kingdom Grant Wickman's profile →
Citations per field
00.5×1.5×2.0×
Grant Wickman · 1×
Citations per year

Countries citing papers authored by Gary Box

Since Specialization
Citations

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

Fields of papers citing papers by Gary Box

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gary Box, 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 Gary Box Line = papers co-authored together Gary Box links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000111
2 201593
3 200777
4 201075
5 201272
6 200972
7 201067
8 199964
9 201561
10 200353
11 201453
12 200151
13 199851
14 201141
15 201228
16 201028
17 202026
18 201225
19 202020
20 201618

About Gary Box

Gary Box is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cell Biology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), MRI in cancer diagnosis (4 papers), Peptidase Inhibition and Analysis (4 papers), Ultrasound and Hyperthermia Applications (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Cancer-related Molecular Pathways (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Cancer Research (212 citations), Oncology (374 citations), Cell Biology (166 citations), Molecular Biology (595 citations) and Radiology, Nuclear Medicine and Imaging (165 citations). Gary Box has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Suzanne A. Eccles, William Court, Peter Rhŷs‐Evans, Pornchai O‐charoenrat, Simon P. Robinson, Melanie Valenti, Helmout Modjtahedi, Alexis de Haven Brandon, Florence I. Raynaud and Jessica K.R. Boult. Their work appears in journals such as Molecular Cancer Therapeutics, International Journal of Cancer, Cancer Research, Frontiers in Pharmacology and Journal of Medicinal Chemistry.

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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