Lucinda Billingham

8.3k citations
138 papers · 5.0k indexed · h-index 37

Lucinda Billingham

131 papers receiving 4.9k citations

Peers

Lucinda Billingham
Comparison fields: 5 of 152
  • Oncology 2.1k
  • Pulmonary and Respiratory Medicine 1.2k
  • Cancer Research 512
  • Internal Medicine 123
  • Immunology 475
Replace Ivan Brandslund with:
Ivan Brandslund Denmark
Marc Botteman United States
Marsha E. Reichman United States
Laura J. Havrilesky United States
Leah Ben‐Porat United States
Dorte Nielsen Denmark
Alexander Katalinic Germany
Sarah J. Lord Australia
Timothy Perren United Kingdom
Alexia Iasonos United States
Lucinda Billingham relative to Ivan Brandslund Denmark Ivan Brandslund's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lucinda Billingham

Since Specialization
Citations

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

Fields of papers citing papers by Lucinda Billingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202414
2 20242
3 20231
4 20234
5 20235
6 20231
7 20224
8 20229
9 20191
10 201721
11 201715
12 201717
13 201621
14 201415
15 20125
16 20070
17 200339
18
Mitomycin,Ifosfamide and cisplatin in unresectable non-small cell lung cancer: Effects on survival and quality of life
20016
19
Methods for the analysis of quality-of-life and survival data in health technology assessment.
1999248
20
Quality assurance of CD34+ cell estimation in leucapheresis products.
199622

About Lucinda Billingham

Lucinda Billingham is a scholar working on Statistics and Probability, Oncology and Cancer Research, having authored 138 papers that have together received 5.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (23 papers), Statistical Methods in Clinical Trials (21 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), Cancer Genomics and Diagnostics (16 papers), Bladder and Urothelial Cancer Treatments (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Lung Cancer Research Studies (8 papers) and Advanced Proteomics Techniques and Applications (7 papers). The work is most often cited by research in Oncology (2.1k citations), Pulmonary and Respiratory Medicine (1.2k citations) and Cancer Research (512 citations). Lucinda Billingham has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Keith R. Abrams, Neil Steven, Stirling Bryan, M.H. Cullen, Daniel Rea, Richard T. Bryan, D. Michael A. Wallace, Philip J. Johnson, Andrea Burton and K Malottki. Their work appears in journals such as Journal of Clinical Oncology, Trials, Lung Cancer, British Journal of Cancer and Annals of Oncology.

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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