Gregory C. Ippolito
- Immunology top 1%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Genetics top 2%
- Epidemiology top 10%
- Co-authors
- George GeorgiouPhilip W. TuckerKam Hon HoiBrandon J. DeKoskyMichael ZemlinAndrew D. EllingtonTobias RogoschHedda Wardemann
- Topics
- T-cell and B-cell Immunology (36 papers)Monoclonal and Polyclonal Antibodies Research (27 papers)Immune Cell Function and Interaction (20 papers)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Gregory C. Ippolito
65 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 2.1k
- Molecular Biology 1.8k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Genetics 555
- Epidemiology 430
Countries citing papers authored by Gregory C. Ippolito
This map shows the geographic impact of Gregory C. Ippolito'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 Gregory C. Ippolito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory C. Ippolito more than expected).
Fields of papers citing papers by Gregory C. Ippolito
This network shows the impact of papers produced by Gregory C. Ippolito. 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 Gregory C. Ippolito. The network helps show where Gregory C. Ippolito may publish in the future.
Co-authorship network of co-authors of Gregory C. Ippolito
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory C. Ippolito. A scholar is included among the top collaborators of Gregory C. Ippolito 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 Gregory C. Ippolito. Gregory C. Ippolito 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 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 32 | |
| 8 | 5 | |
| 9 | 70 | |
| 10 | 6 | |
| 11 | 35 | |
| 12 | 8 | |
| 13 | 30 | |
| 14 | 2 | |
| 15 | 51 | |
| 16 | 15 | |
| 17 | 54 | |
| 18 | Immunoglobulin Analysis Tool: A Novel Tool for the Analysis of Human and Mouse Heavy and Light Chain Transcriptsbreakdown → | 496 |
| 19 | 138 | |
| 20 | 31 |
About Gregory C. Ippolito
Gregory C. Ippolito is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 69 papers that have together received 4.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (36 papers), Monoclonal and Polyclonal Antibodies Research (27 papers) and Immune Cell Function and Interaction (20 papers). The work is most often cited by research in Immunology (2.1k citations), Genetics (555 citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Gregory C. Ippolito has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include George Georgiou, Philip W. Tucker, Kam Hon Hoi, Brandon J. DeKosky, Michael Zemlin, Andrew D. Ellington, Tobias Rogosch, Hedda Wardemann, Christian E. Busse and Stephen R. Quake. Their work appears in journals such as Nature, Science and Cell.
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.