Laura Succony

538 citations
16 papers · 319 indexed · 1 hit paper · h-index 5
Topics
Lung Cancer Diagnosis and Treatment (7 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers)Lung Cancer Treatments and Mutations (4 papers)

In The Last Decade

Laura Succony

13 papers receiving 314 citations

Hit Papers

Adenocarcinoma spectrum lesions of the lung: Detection, p...2021202620222024202150100150

Peers

Laura Succony
Comparison fields: 5 of 73
  • Pulmonary and Respiratory Medicine 175
  • Molecular Biology 118
  • Oncology 78
  • Cancer Research 72
  • Radiology, Nuclear Medicine and Imaging 42
Replace Daqiang Sun with:
Daqiang Sun China
Jingyu Zhu China
Hyejeong Jang United States
Heng‐Chung Chen Taiwan
Xuedong Lv China
You Zou China
Hecheng Li China
Qi Cai United States
Shaobo Ke China
Laura Succony relative to Daqiang Sun China Daqiang Sun's profile →
Citations per field
00.5×2.6×
Daqiang Sun · 1×
Citations per year

Countries citing papers authored by Laura Succony

Since Specialization
Citations

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

Fields of papers citing papers by Laura Succony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Succony

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 3
3
Adenocarcinoma spectrum lesions of the lung: Detection, pathology and treatment strategiesbreakdown →
186
4 1
5 3
6 1
7 1
8 0
9 0
10 98
11 10
12 1
13 0
14 1
15 4
16 8

About Laura Succony

Laura Succony is a scholar working on Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine and Oncology, having authored 16 papers that have together received 319 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (175 citations), Cancer Research (72 citations) and Oncology (78 citations). Laura Succony has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Robert C. Rintoul, DM Rassl, Sam M. Janes, Robert E. Hynds, Sabari Vallath, Adam Giangreco, Ronak Shah, Doris M. Rassl, Niki Veale and Syed M. Tariq. Their work appears in journals such as The Lancet, European Respiratory Journal and Thorax.

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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