Gary G. Giulian
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering top 10%
- Ecology
- Cell Biology top 10%
- Co-authors
- Richard L. MossMarion L. GreaserRotem EdgarMichael McKinstryJeeseong HwangRichard A. FeketeCarl R. MerrilSankar Adhya
- Topics
- Neuroscience of respiration and sleep (3 papers)Mass Spectrometry Techniques and Applications (2 papers)Neonatal and fetal brain pathology (2 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- United StatesIsrael
In The Last Decade
Gary G. Giulian
11 papers receiving 961 citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 625
- Cardiology and Cardiovascular Medicine 300
- Biomedical Engineering 261
- Ecology 120
- Cell Biology 110
Countries citing papers authored by Gary G. Giulian
This map shows the geographic impact of Gary G. Giulian'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 G. Giulian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary G. Giulian more than expected).
Fields of papers citing papers by Gary G. Giulian
This network shows the impact of papers produced by Gary G. Giulian. 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 G. Giulian. The network helps show where Gary G. Giulian may publish in the future.
Co-authorship network of co-authors of Gary G. Giulian
This figure shows the co-authorship network connecting the top 25 collaborators of Gary G. Giulian. A scholar is included among the top collaborators of Gary G. Giulian 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 G. Giulian. Gary G. Giulian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 6 | |
| 3 | 262 | |
| 4 | Extramedullary hematopoiesis in the liver in sudden infant death syndrome. | 8 |
| 5 | 3 | |
| 6 | 60 | |
| 7 | 4 | |
| 8 | 88 | |
| 9 | 80 | |
| 10 | 376 | |
| 11 | 92 |
About Gary G. Giulian
Gary G. Giulian is a scholar working on Endocrine and Autonomic Systems, Genetics and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (3 papers), Mass Spectrometry Techniques and Applications (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (300 citations), Molecular Biology (625 citations) and Endocrine and Autonomic Systems (50 citations). Gary G. Giulian has collaborated with scholars based in United States and Israel. Frequent co-authors include Richard L. Moss, Marion L. Greaser, Rotem Edgar, Michael McKinstry, Jeeseong Hwang, Richard A. Fekete, Carl R. Merril, Sankar Adhya, Amos B. Oppenheim and Kunio Nagashima. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.