Gary R. Pasternack
- Molecular Biology top 5%
- Cancer Research top 0.5%
- Oncology top 5%
- Immunology top 5%
- Surgery top 10%
- Co-authors
- Francis P. KuhajdaEllen S. PizerRandolph A. HennigarJames D. DickLee A. WittersJonathan R. BrodyShrihari S. KadkolThomas L. Leto
- Topics
- Ubiquitin and proteasome pathways (11 papers)Cancer, Lipids, and Metabolism (11 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)
- Partner nations
- United StatesEgypt
In The Last Decade
Gary R. Pasternack
55 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 2.5k
- Cancer Research 1.7k
- Oncology 597
- Immunology 480
- Surgery 447
Countries citing papers authored by Gary R. Pasternack
This map shows the geographic impact of Gary R. Pasternack'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 Gary R. Pasternack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary R. Pasternack more than expected).
Fields of papers citing papers by Gary R. Pasternack
This network shows the impact of papers produced by Gary R. Pasternack. 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 Gary R. Pasternack. The network helps show where Gary R. Pasternack may publish in the future.
Co-authorship network of co-authors of Gary R. Pasternack
This figure shows the co-authorship network connecting the top 25 collaborators of Gary R. Pasternack. A scholar is included among the top collaborators of Gary R. Pasternack 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 Gary R. Pasternack. Gary R. Pasternack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 132 | |
| 3 | 18 | |
| 4 | 35 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 28 | |
| 8 | 62 | |
| 9 | 49 | |
| 10 | 45 | |
| 11 | 138 | |
| 12 | 1 | |
| 13 | 45 | |
| 14 | 70 | |
| 15 | 7 | |
| 16 | Inhibition of fatty acid synthesis induces programmed cell death in human breast cancer cells. | 237 |
| 17 | 52 | |
| 18 | 27 | |
| 19 | Antibody-mediated suppression of tumor growth. I. Suppression by murine IgG1 isolated from alloantiserum. | 13 |
| 20 | 7 |
About Gary R. Pasternack
Gary R. Pasternack is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 57 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (11 papers), Cancer, Lipids, and Metabolism (11 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (2.5k citations) and Biochemistry (213 citations). Gary R. Pasternack has collaborated with scholars based in United States and Egypt. Frequent co-authors include Francis P. Kuhajda, Ellen S. Pizer, Randolph A. Hennigar, James D. Dick, Lee A. Witters, Jonathan R. Brody, Shrihari S. Kadkol, Thomas L. Leto, Richard A. Anderson and Vincent T. Marchesi. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.