Niamh M. Long
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Immunology top 10%
- Surgery
- Co-authors
- Darragh HalpennyAndrew J. PlodkowskiHira RizviMatthew D. HellmannJamie E. ChaftKathryn C. ArbourC. SmithAi Ni
- Topics
- Lung Cancer Treatments and Mutations (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Cancer Immunotherapy and Biomarkers (5 papers)
- Partner nations
- United StatesIrelandBrazil
In The Last Decade
Niamh M. Long
22 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Oncology 1.5k
- Pulmonary and Respiratory Medicine 687
- Molecular Biology 427
- Immunology 283
- Surgery 215
Countries citing papers authored by Niamh M. Long
This map shows the geographic impact of Niamh M. Long'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 Niamh M. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niamh M. Long more than expected).
Fields of papers citing papers by Niamh M. Long
This network shows the impact of papers produced by Niamh M. Long. 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 Niamh M. Long. The network helps show where Niamh M. Long may publish in the future.
Co-authorship network of co-authors of Niamh M. Long
This figure shows the co-authorship network connecting the top 25 collaborators of Niamh M. Long. A scholar is included among the top collaborators of Niamh M. Long 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 Niamh M. Long. Niamh M. Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 263 | |
| 8 | 24 | |
| 9 | Negative association of antibiotics on clinical activity of immune checkpoint inhibitors in patients with advanced renal cell and non-small-cell lung cancerbreakdown → | 631 |
| 10 | 35 | |
| 11 | 16 | |
| 12 | Impact of Baseline Steroids on Efficacy of Programmed Cell Death-1 and Programmed Death-Ligand 1 Blockade in Patients With Non–Small-Cell Lung Cancerbreakdown → | 712 |
| 13 | 45 | |
| 14 | 4 | |
| 15 | 22 | |
| 16 | 11 | |
| 17 | 16 | |
| 18 | 21 | |
| 19 | 14 | |
| 20 | 128 |
About Niamh M. Long
Niamh M. Long is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Oncology (1.5k citations), Pulmonary and Respiratory Medicine (687 citations) and Immunology (283 citations). Niamh M. Long has collaborated with scholars based in United States, Ireland and Brazil. Frequent co-authors include Darragh Halpenny, Andrew J. Plodkowski, Hira Rizvi, Matthew D. Hellmann, Jamie E. Chaft, Kathryn C. Arbour, C. Smith, Ai Ni, Bertrand Routy and Lisa Derosa. Their work appears in journals such as Journal of Clinical Oncology, Annals of Surgery 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.