Niamh Coleman
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Cancer Research
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Xiuning LeJohn V. HeymachTimothy A. YapArnold R. CowenJordi RodónFunda Meric‐BernstamDavid S. HongLingzhi Hong
- Topics
- Lung Cancer Treatments and Mutations (8 papers)Glioma Diagnosis and Treatment (7 papers)PI3K/AKT/mTOR signaling in cancer (5 papers)
- Cited by
- OncologyCancer ResearchGenetics
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Niamh Coleman
37 papers receiving 647 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Oncology 281
- Pulmonary and Respiratory Medicine 256
- Molecular Biology 204
- Cancer Research 129
- Radiology, Nuclear Medicine and Imaging 110
Countries citing papers authored by Niamh Coleman
This map shows the geographic impact of Niamh Coleman'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 Coleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niamh Coleman more than expected).
Fields of papers citing papers by Niamh Coleman
This network shows the impact of papers produced by Niamh Coleman. 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 Coleman. The network helps show where Niamh Coleman may publish in the future.
Co-authorship network of co-authors of Niamh Coleman
This figure shows the co-authorship network connecting the top 25 collaborators of Niamh Coleman. A scholar is included among the top collaborators of Niamh Coleman 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 Coleman. Niamh Coleman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 16 | |
| 4 | 17 | |
| 5 | Antibody-drug conjugates in lung cancer: dawn of a new era?breakdown → | 80 |
| 6 | 13 | |
| 7 | 41 | |
| 8 | 81 | |
| 9 | 5 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 102 | |
| 13 | 4 | |
| 14 | 54 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Different susceptibility of cervical keratinocytes containing human papillomavirus to cell-mediated cytotoxicity. | 12 |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 37 |
About Niamh Coleman
Niamh Coleman is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 41 papers that have together received 662 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Glioma Diagnosis and Treatment (7 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Oncology (281 citations), Cancer Research (129 citations) and Genetics (90 citations). Niamh Coleman has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Xiuning Le, John V. Heymach, Timothy A. Yap, Arnold R. Cowen, Jordi Rodón, Funda Meric‐Bernstam, David S. Hong, Lingzhi Hong, J. Zhang and George A. Hay. Their work appears in journals such as Journal of Clinical Oncology, 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.