Mary K. Martel
- Radiation top 0.02%
- Advanced Radiotherapy Techniques 55
- Otorhinolaryngology top 0.2%
- Head and Neck Cancer Studies 10
-
- Effects of Radiation Exposure 21
- Radiation Dose and Imaging 18
- Medical Imaging Techniques and Applications 14
- Radiomics and Machine Learning in Medical Imaging 7
- Pulmonary and Respiratory Medicine top 0.2%
- Lung Cancer Diagnosis and Treatment 32
- Radiation Therapy and Dosimetry 22
- Genetics top 2%
- Co-authors
- Randall K. Ten HakenAllen S. LichterLawrence B. MarksBenedick A. FraassJoos V. LebesqueAndrew T. TurrisiZhongxing LiaoMark B. Hazuka
- Journals
- International Journal of Radiation Oncology*Biology*Physics (46 papers)Medical Physics (10 papers)Journal of Applied Clinical Medical Physics (5 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Mary K. Martel
88 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Radiation 4.5k
- Otorhinolaryngology 927
- Radiology, Nuclear Medicine and Imaging 3.8k
- Pulmonary and Respiratory Medicine 4.7k
- Genetics 429
Countries citing papers authored by Mary K. Martel
This map shows the geographic impact of Mary K. Martel'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 Mary K. Martel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary K. Martel more than expected).
Fields of papers citing papers by Mary K. Martel
This network shows the impact of papers produced by Mary K. Martel. 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 Mary K. Martel. The network helps show where Mary K. Martel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary K. Martel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 6 | |
| 2 | 2018 | 97 | |
| 3 | 2017 | 5 | |
| 4 | 2017 | 13 | |
| 5 | 2016 | 25 | |
| 6 | 2015 | 41 | |
| 7 | 2013 | 26 | |
| 8 | 2012 | 56 | |
| 9 | 2010 | 334 | |
| 10 | 2010 | 27 | |
| 11 | 2009 | 32 | |
| 12 | 2008 | 68 | |
| 13 | 2008 | 112 | |
| 14 | 2008 | 19 | |
| 15 | 2007 | 75 | |
| 16 | 1999 | 241 | |
| 17 | 1998 | 18 | |
| 18 | 1997 | 27 | |
| 19 | 1993 | 46 | |
| 20 | 1993 | 74 |
About Mary K. Martel
Mary K. Martel is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 91 papers that have together received 7.3k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (55 papers), Lung Cancer Diagnosis and Treatment (32 papers), Radiation Therapy and Dosimetry (22 papers), Effects of Radiation Exposure (21 papers), Radiation Dose and Imaging (18 papers), Medical Imaging Techniques and Applications (14 papers), Head and Neck Cancer Studies (10 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Radiation (4.5k citations), Otorhinolaryngology (927 citations) and Radiology, Nuclear Medicine and Imaging (3.8k citations). Mary K. Martel has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Randall K. Ten Haken, Allen S. Lichter, Lawrence B. Marks, Benedick A. Fraass, Joos V. Lebesque, Andrew T. Turrisi, Zhongxing Liao, Mark B. Hazuka, Susan L. Tucker and Feng‐Ming Kong. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Journal of Applied Clinical Medical Physics, Radiotherapy and Oncology and Medical dosimetry.
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.