M. Gee
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
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- Cancer, Hypoxia, and Metabolism
Papers in
-
- Angiogenesis and VEGF in Cancer 2
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- Liver Disease Diagnosis and Treatment 3
- Co-authors
- David Malkin (6 shared papers)Alex Loh (1 shared paper)Napol Rachatasumrit (1 shared paper)Miryung Kim (1 shared paper)Sylvain Baruchel (2 shared papers)Bikul Das (2 shared papers)Rika Tsuchida (2 shared papers)Aru Narendran (4 shared papers)
- Journals
- Cancer Gene Therapy (2 papers)Clinica Chimica Acta (2 papers)Oncogene (1 paper)Multiple Sclerosis Journal (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
M. Gee
17 papers receiving 528 citations
Peers
Comparison fields: 5 of 90
- Software 72
- Cancer Research 112
- Information Systems 100
- Oncology 97
- Molecular Biology 212
Countries citing papers authored by M. Gee
This map shows the geographic impact of M. Gee'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 M. Gee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gee more than expected).
Fields of papers citing papers by M. Gee
This network shows the impact of papers produced by M. Gee. 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 M. Gee. The network helps show where M. Gee may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Gee, 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 | 2010 | 107 | |
| 2 | 2005 | 105 | |
| 3 | 2005 | 74 | |
| 4 | An in vivo function for the transforming Myc protein: elicitation of the angiogenic phenotype. | 2000 | 66 |
| 5 | 2005 | 40 | |
| 6 | 2004 | 35 | |
| 7 | 2005 | 29 | |
| 8 | 2004 | 29 | |
| 9 | 1988 | 25 | |
| 10 | 2018 | 12 | |
| 11 | 2023 | 6 | |
| 12 | Energy analytics for development: big data for energy access, energy efficiency, and renewable energy | 2017 | 6 |
| 13 | 2022 | 2 | |
| 14 | 1992 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 1989 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2026 | 0 |
About M. Gee
M. Gee is a scholar working on Molecular Biology, Epidemiology, Nuclear and High Energy Physics, Pulmonary and Respiratory Medicine and Genetics, having authored 19 papers that have together received 541 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers), Cancer Research and Treatments (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Software (72 citations), Cancer Research (112 citations), Information Systems (100 citations), Oncology (97 citations) and Molecular Biology (212 citations). M. Gee has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include David Malkin, Alex Loh, Napol Rachatasumrit, Miryung Kim, Sylvain Baruchel, Bikul Das, Rika Tsuchida, Aru Narendran, Hooman Ganjavi and Risa Torkin. Their work appears in journals such as Cancer Gene Therapy, Clinica Chimica Acta, Oncogene, Multiple Sclerosis Journal and Cancer Research.
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.