John McGee
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
Papers in
-
- Distributed and Parallel Computing Systems 6
- Genetics 1
- Genetic diversity and population structure 1
- Forensic and Genetic Research 1
- Co-authors
- Torre Wenaus (3 shared papers)Alan R. Blatecky (3 shared papers)Frank Würthwein (3 shared papers)Miron Livny (2 shared papers)Doug Olson (1 shared paper)Mike Wilde (1 shared paper)Ian T. Foster (2 shared papers)Paul Avery (2 shared papers)
- Journals
- Cell (3 papers)Informatics (1 paper)Geoscientific model development (1 paper)PLoS ONE (1 paper)Journal of Grid Computing (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
John McGee
13 papers receiving 2.1k citations
John McGee's Hit Papers
Peers
Comparison fields: 5 of 124
- Genetics 241
- Spectroscopy 321
- Cancer Research 256
- Oncology 273
- Computer Networks and Communications 245
Countries citing papers authored by John McGee
This map shows the geographic impact of John McGee'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 John McGee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John McGee more than expected).
Fields of papers citing papers by John McGee
This network shows the impact of papers produced by John McGee. 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 John McGee. The network helps show where John McGee may publish in the future.
Co-authors
The 25 scholars most cited alongside John McGee, 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 | Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma Hit paper breakdown → | 2020 | 584 |
| 2 | The open science grid Hit paper breakdown → | 2007 | 559 |
| 3 | Proteogenomic and metabolomic characterization of human glioblastoma Hit paper breakdown → | 2021 | 467 |
| 4 | Proteogenomic Characterization of Endometrial Carcinoma Hit paper breakdown → | 2020 | 356 |
| 5 | 2020 | 64 | |
| 6 | 2012 | 46 | |
| 7 | 2010 | 39 | |
| 8 | 2009 | 11 | |
| 9 | 2008 | 9 | |
| 10 | 2017 | 7 | |
| 11 | 2008 | 6 | |
| 12 | 2015 | 4 | |
| 13 | 2024 | 2 |
About John McGee
John McGee is a scholar working on Computer Networks and Communications, Genetics, Obstetrics and Gynecology, Information Systems and Management and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 2.2k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Lung Cancer Treatments and Mutations (1 paper), Renal cell carcinoma treatment (1 paper), Cloud Computing and Resource Management (1 paper), Genetic diversity and population structure (1 paper), Forensic and Genetic Research (1 paper), Meteorological Phenomena and Simulations (1 paper) and Endometrial and Cervical Cancer Treatments (1 paper). The work is most often cited by research in Genetics (241 citations), Spectroscopy (321 citations), Cancer Research (256 citations), Oncology (273 citations) and Computer Networks and Communications (245 citations). John McGee has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Torre Wenaus, Alan R. Blatecky, Frank Würthwein, Miron Livny, Doug Olson, Mike Wilde, Ian T. Foster, Paul Avery, Rob Gardner and Alain Roy. Their work appears in journals such as Cell, Informatics, Geoscientific model development, PLoS ONE and Journal of Grid Computing.
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.