Matthew Conron

4.4k citations
54 papers · 2.4k indexed · 1 hit paper · h-index 22

Matthew Conron

53 papers receiving 2.3k citations

Hit Papers

Does Lung Adenocarcinoma Subtype Predict Patient Survival...4732011202620162021100200300400

Peers

Matthew Conron
Comparison fields: 5 of 116
  • Pulmonary and Respiratory Medicine 1.7k
  • Microbiology 21
  • Oncology 628
  • Cancer Research 262
  • Otorhinolaryngology 55
Replace Chukwumere Nwogu with:
Chukwumere Nwogu United States
Thomas A. Sporn United States
Sow-Hsong Kuo Taiwan
William G. Hocking United States
Jason A. Zell United States
Virginie Westeel France
A Depierre France
Martina Bonifazi Italy
Robert S. Fontana United States
E.J. Mark United States
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Citations per field
00.5×1.7×
Chukwumere Nwogu · 1×
Citations per year

Countries citing papers authored by Matthew Conron

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Conron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20234
4 202130
5 20216
6 201812
7 201512
8 201446
9 201443
10 201397
11 201062
12 2010111
13 2009111
14 20096
15 20081
16 200546
17 200413
18 200217
19
Clinical features of diffuse parenchymal lung disease
20005
20 200088

About Matthew Conron

Matthew Conron is a scholar working on Pulmonary and Respiratory Medicine, Microbiology, Oncology, Geriatrics and Gerontology and Cancer Research, having authored 54 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (26 papers), Lung Cancer Diagnosis and Treatment (25 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers), Lung Cancer Research Studies (7 papers), Cancer Genomics and Diagnostics (5 papers), Global Cancer Incidence and Screening (5 papers), Pulmonary Hypertension Research and Treatments (5 papers) and Sarcoidosis and Beryllium Toxicity Research (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.7k citations), Microbiology (21 citations), Oncology (628 citations), Cancer Research (262 citations) and Otorhinolaryngology (55 citations). Matthew Conron has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Gavin Wright, Prudence A. Russell, Zoe Wainer, Marissa Daniels, Richard A. Williams, Anne E. Holland, Christine F. McDonald, Catherine J. Hill, P Munro and Alexander Dobrovic. Their work appears in journals such as Journal of Thoracic Oncology, Pathology, Thorax, ANZ Journal of Surgery and Lung 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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