Gregory N. Gan

64 papers receiving 2.5k citations

Gregory N. Gan's Hit Papers

Local Ablative Therapy of Oligoprogressive Disease Prolongs Disease Control by Tyrosine Kinase Inhibitors in Oncogene-Addicted Non–Small-Cell Lung Cancer 2012 · 562 citations
5620+4+9Years since publication100200300400500

Peers

Gregory N. Gan
Comparison fields: 5 of 107
  • Oncology 783
  • Otorhinolaryngology 117
  • Pulmonary and Respiratory Medicine 857
  • Cancer Research 267
  • Radiation 158
Replace William Jeffrey Petty with:
William Jeffrey Petty United States
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Citations per year

Countries citing papers authored by Gregory N. Gan

Since Specialization
Citations

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

Fields of papers citing papers by Gregory N. Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory N. Gan. 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 Gregory N. Gan. The network helps show where Gregory N. Gan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Local Ablative Therapy of Oligoprogressive Disease Prolongs Disease Control by Tyrosine Kinase Inhibitors in Oncogene-Addicted Non–Small-Cell Lung Cancer
Hit paper breakdown →
2012562
2 2018271
3 2014185
4 2007177
5 2007132
6 2000113
7 2015109
8 201383
9 202169
10 201767
11 202267
12 201464
13 202158
14 201637
15
A phase I and pharmacokinetic study of SAM486A, a novel polyamine biosynthesis inhibitor, administered on a daily-times-five every-three-week schedule in patients with Advanced solid malignancies.
200236
16 201731
17 201627
18 201725
19 202125
20 201624

About Gregory N. Gan

Gregory N. Gan is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine, Oncology, Radiation and Molecular Biology, having authored 71 papers that have together received 2.6k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (14 papers), Advanced Radiotherapy Techniques (8 papers), Radiation Therapy and Dosimetry (7 papers), Lung Cancer Treatments and Mutations (5 papers), Lung Cancer Research Studies (4 papers), Cancer-related Molecular Pathways (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Oncology (783 citations), Otorhinolaryngology (117 citations), Pulmonary and Respiratory Medicine (857 citations), Cancer Research (267 citations) and Radiation (158 citations). Gregory N. Gan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Brian D. Kavanagh, Laurie E. Gaspar, D. Ross Camidge, Robert Charles Doebele, Andrew James Weickhardt, Benjamin Y. Scheier, Dara L. Aisner, Joseph Malachy Burke, Paul A. Bunn and Xian Jun David Lu. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Frontiers in Oncology, The Lancet Oncology and Head & Neck.

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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