Susan L. McGovern
- Genetics top 1%
- Glioma Diagnosis and Treatment 60
- Computational Theory and Mathematics top 0.5%
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- Brain Metastases and Treatment 32
- Radiation Therapy and Dosimetry 19
- Sarcoma Diagnosis and Treatment 14
- Molecular Biology top 5%
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- Neuroblastoma Research and Treatments 14
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- Meningioma and schwannoma management 14
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- Advanced Radiotherapy Techniques 13
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- Lung Cancer Research Studies 8
- Co-authors
- Brian K. ShoichetEmilia CaselliNikolaus GrigorieffThompson N. DomanBrian T. HelfandBrian Y. FengJohn J. IrwinBinQing Wei
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Oncology (3 papers)Cancer (4 papers)
- Partner nations
- United StatesNetherlandsThailand
In The Last Decade
Susan L. McGovern
114 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Genetics 955
- Computational Theory and Mathematics 1.1k
- Pulmonary and Respiratory Medicine 1.3k
- Radiology, Nuclear Medicine and Imaging 791
- Molecular Biology 2.3k
Countries citing papers authored by Susan L. McGovern
This map shows the geographic impact of Susan L. McGovern'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 Susan L. McGovern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan L. McGovern more than expected).
Fields of papers citing papers by Susan L. McGovern
This network shows the impact of papers produced by Susan L. McGovern. 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 Susan L. McGovern. The network helps show where Susan L. McGovern may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Susan L. McGovern, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 25 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 9 | |
| 15 | 2013 | 314 | |
| 16 | 2009 | 145 | |
| 17 | 2008 | 345 | |
| 18 | Podoplanin expression is an independent predictor of survival in malignant gliomas | 2007 | 1 |
| 19 | 2005 | 53 | |
| 20 | Docking and Drug Discovery | 2002 | 6 |
About Susan L. McGovern
Susan L. McGovern is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Radiation, having authored 127 papers that have together received 5.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (60 papers), Brain Metastases and Treatment (32 papers), Radiation Therapy and Dosimetry (19 papers), Neuroblastoma Research and Treatments (14 papers), Sarcoma Diagnosis and Treatment (14 papers), Meningioma and schwannoma management (14 papers), Advanced Radiotherapy Techniques (13 papers) and Lung Cancer Research Studies (8 papers). The work is most often cited by research in Genetics (955 citations), Computational Theory and Mathematics (1.1k citations) and Pulmonary and Respiratory Medicine (1.3k citations). Susan L. McGovern has collaborated with scholars based in United States, Netherlands and Thailand. Frequent co-authors include Brian K. Shoichet, Emilia Caselli, Nikolaus Grigorieff, Thompson N. Doman, Brian T. Helfand, Brian Y. Feng, John J. Irwin, BinQing Wei, David R. Grosshans and Anita Mahajan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer.
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.