Gavin Marx

6.1k total citations
100 papers, 1.8k citations indexed

About

Gavin Marx is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Gavin Marx has authored 100 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Pulmonary and Respiratory Medicine, 51 papers in Oncology and 27 papers in Cancer Research. Recurrent topics in Gavin Marx's work include Prostate Cancer Treatment and Research (31 papers), Cancer Treatment and Pharmacology (17 papers) and Radiopharmaceutical Chemistry and Applications (10 papers). Gavin Marx is often cited by papers focused on Prostate Cancer Treatment and Research (31 papers), Cancer Treatment and Pharmacology (17 papers) and Radiopharmaceutical Chemistry and Applications (10 papers). Gavin Marx collaborates with scholars based in Australia, United States and United Kingdom. Gavin Marx's co-authors include Howard Gurney, Lisa G. Horvath, Christopher Steer, Martin R. Stockler, Kate Mahon, Paul de Souza, Michael Boyer, Jeremy N. Pulvers, Girish Mallesara and Nick Pavlakis and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Gavin Marx

94 papers receiving 1.8k citations

Peers

Gavin Marx
Comparison fields: 5 of 100
  • Pulmonary and Respiratory Medicine 735
  • Oncology 662
  • Cancer Research 471
  • Molecular Biology 466
  • Surgery 211
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Citations per field, relative to Gavin Marx
Gavin Marx · 1×
Citations per year, relative to Gavin Marx
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Countries citing papers authored by Gavin Marx

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Marx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gavin Marx

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 0
3 3
4 0
5 1
6 5
7 6
8 2
9 5
10 1
11 63
12
Correlating Ki67 and other prognostic markers with oncotype DX recurrence score in early breast cancer
2
13
THE ADDITION OF ANTI-ANGIOGENIC TYROSINE KINASE INHIBITORS TO CHEMOTHERAPY FOR ADVANCED NON-SMALL CELL LUNG CANCER: A SYSTEMATIC REVIEW AND META-ANALYSIS OF RANDOMISED CONTROLLED TRIALS
1
14 27
15 38
16 86
17
CHEMOTHERAPY IN THE ELDERLY
3
18 91
19 3
20 108

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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