Gerald M. Kolodny
- Physiology top 0.2%
- Epidemiology top 1%
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 1%
- Co-authors
- Gethin WilliamsAaron M. CypessAlessandro DoriaṬal IlanEdwin L. PalmerYu‐Hua TsengAllison B. GoldfineFrank C. Kuo
- Topics
- Medical Imaging Techniques and Applications (32 papers)Radiopharmaceutical Chemistry and Applications (18 papers)Medical Imaging and Pathology Studies (14 papers)
- Partner nations
- United StatesIsraelSpain
In The Last Decade
Gerald M. Kolodny
116 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Physiology 4.9k
- Epidemiology 2.2k
- Cardiology and Cardiovascular Medicine 1.6k
- Molecular Biology 1.2k
- Radiology, Nuclear Medicine and Imaging 1.2k
Countries citing papers authored by Gerald M. Kolodny
This map shows the geographic impact of Gerald M. Kolodny'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 Gerald M. Kolodny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald M. Kolodny more than expected).
Fields of papers citing papers by Gerald M. Kolodny
This network shows the impact of papers produced by Gerald M. Kolodny. 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 Gerald M. Kolodny. The network helps show where Gerald M. Kolodny may publish in the future.
Co-authorship network of co-authors of Gerald M. Kolodny
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald M. Kolodny. A scholar is included among the top collaborators of Gerald M. Kolodny 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 Gerald M. Kolodny. Gerald M. Kolodny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Mapping of human brown adipose tissue in lean and obese young menbreakdown → | 380 |
| 3 | 2 | |
| 4 | 264 | |
| 5 | Identification and Importance of Brown Adipose Tissue in Adult Humansbreakdown → | 3417 |
| 6 | 20 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 41 | |
| 10 | 10 | |
| 11 | SPECT quantitation of cobalt-57-bleomycin to predict treatment response and outcome of patients with lung cancer. | 7 |
| 12 | 67 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | SPECT quantitation of cobalt-57 bleomycin delivery to human brain tumors. | 12 |
| 17 | 1 | |
| 18 | Technical Considerations of Tc-99m Labeled Red Blood Cell Scans in the Detection and Localization of Gastrointestinal Bleeding Sites | 2 |
| 19 | 26 | |
| 20 | 41 |
About Gerald M. Kolodny
Gerald M. Kolodny is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Rehabilitation, having authored 122 papers that have together received 7.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (32 papers), Radiopharmaceutical Chemistry and Applications (18 papers) and Medical Imaging and Pathology Studies (14 papers). The work is most often cited by research in Physiology (4.9k citations), Rehabilitation (1.1k citations) and Cardiology and Cardiovascular Medicine (1.6k citations). Gerald M. Kolodny has collaborated with scholars based in United States, Israel and Spain. Frequent co-authors include Gethin Williams, Aaron M. Cypess, Alessandro Doria, Ṭal Ilan, Edwin L. Palmer, Yu‐Hua Tseng, Allison B. Goldfine, Frank C. Kuo, Jeffrey English and Dov Front. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.