Gary D. Swergold
- Molecular Biology top 5%
- Plant Science top 2%
- Surgery top 5%
- Genetics top 5%
- Immunology
- Co-authors
- Evan A. SteinMaxine SingerRonald E. ThayerBeth A. DombroskiIgor V. OvchinnikovRalph J. DeBerardinisThierry NaasAbram Gabriel
- Topics
- Chromosomal and Genetic Variations (13 papers)RNA and protein synthesis mechanisms (10 papers)RNA Interference and Gene Delivery (6 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Gary D. Swergold
29 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.8k
- Plant Science 1.3k
- Surgery 538
- Genetics 392
- Immunology 192
Countries citing papers authored by Gary D. Swergold
This map shows the geographic impact of Gary D. Swergold'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 D. Swergold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary D. Swergold more than expected).
Fields of papers citing papers by Gary D. Swergold
This network shows the impact of papers produced by Gary D. Swergold. 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 D. Swergold. The network helps show where Gary D. Swergold may publish in the future.
Co-authorship network of co-authors of Gary D. Swergold
This figure shows the co-authorship network connecting the top 25 collaborators of Gary D. Swergold. A scholar is included among the top collaborators of Gary D. Swergold 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 D. Swergold. Gary D. Swergold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 10 | |
| 3 | Effect of a Monoclonal Antibody to PCSK9 on LDL Cholesterolbreakdown → | 505 |
| 4 | Abstract 16265: Inhibition of Proprotein Convertase Subtilisin/Kexin Type 9 With a Monoclonal Antibody REGN727/SAR236553, Effectively Reduces Low-Density-Lipoprotein Cholesterol, as Mono or Add-on Therapy in Heterozygous Familial and Non Familial Hypercholesterolemia | 6 |
| 5 | 3 | |
| 6 | 24 | |
| 7 | Abstract 23251: Safety, Lipid, and Lipoprotein Effects of REGN727/SAR236553, a Fully-Human Proprotein Convertase Subtilisin Kexin 9 (PCSK9) Monoclonal Antibody Administered Intravenously to Healthy Volunteers | 5 |
| 8 | 41 | |
| 9 | 58 | |
| 10 | 13 | |
| 11 | 16 | |
| 12 | 25 | |
| 13 | 120 | |
| 14 | 93 | |
| 15 | 105 | |
| 16 | 361 | |
| 17 | 55 | |
| 18 | 114 | |
| 19 | 56 | |
| 20 | 345 |
About Gary D. Swergold
Gary D. Swergold is a scholar working on Plant Science, Biochemistry and Molecular Biology, having authored 29 papers that have together received 2.8k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (13 papers), RNA and protein synthesis mechanisms (10 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Plant Science (1.3k citations), Molecular Biology (1.8k citations) and Neurology (168 citations). Gary D. Swergold has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Evan A. Stein, Maxine Singer, Ronald E. Thayer, Beth A. Dombroski, Igor V. Ovchinnikov, Ralph J. DeBerardinis, Thierry Naas, Abram Gabriel, Michelle L. Kimberland and Haig H. Kazazian. 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.