Matt Truman

1.1k citations
25 papers · 632 · 1 hit paper · h-index 12

Impact in

Papers in

Matt Truman

24 papers receiving 625 citations

Hit Papers

Detection and Dynamic Changes of EGFR Mutations from Circulating Tumor DNA as a Predictor of Survival Outcomes in NSCLC Patients Treated with First-line Intercalated Erlotinib and Chemotherapy 2015 · 367 citations
3670+3+7Years since publication100200300

Peers

Matt Truman
Comparison fields: 5 of 53
  • Cancer Research 337
  • Pulmonary and Respiratory Medicine 393
  • Transplantation 30
  • Oncology 269
  • Nephrology 52
Replace N. J. Vogelzang with:
N. J. Vogelzang United States
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Citations per field
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Citations per year

Countries citing papers authored by Matt Truman

Since Specialization
Citations

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

Fields of papers citing papers by Matt Truman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detection and Dynamic Changes of EGFR Mutations from Circulating Tumor DNA as a Predictor of Survival Outcomes in NSCLC Patients Treated with First-line Intercalated Erlotinib and Chemotherapy
Hit paper breakdown →
2015367
2 201539
3 200932
4 201424
5 201824
6 201622
7 201221
8 201919
9 201213
10 201911
11 200811
12 201911
13 20139
14 20228
15 20166
16 20174
17 20163
18 20162
19 20241
20 20161

About Matt Truman

Matt Truman is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Rheumatology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 632 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), HER2/EGFR in Cancer Research (5 papers), Systemic Lupus Erythematosus Research (5 papers), Breast Cancer Treatment Studies (4 papers), Lung Cancer Research Studies (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Liver Diseases and Immunity (3 papers). The work is most often cited by research in Cancer Research (337 citations), Pulmonary and Respiratory Medicine (393 citations), Transplantation (30 citations), Oncology (269 citations) and Nephrology (52 citations). Matt Truman has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Chong‐Jen Yu, Tony Mok, Yi‐Long Wu, Barbara Klughammer, Vichien Srimuninnimit, Guia Ladrera, Virote Sriuranpong, Sumitra Thongprasert, Jennifer Sandoval-Tan and David S. Shames. Their work appears in journals such as Lupus Science & Medicine, Annals of Oncology, Journal of Clinical Oncology, Cancer Research and Blood.

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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