John Iacomini
- Immunology top 0.5%
- T-cell and B-cell Immunology 34
- Immune Cell Function and Interaction 28
- Immunotherapy and Immune Responses 16
- Transplantation top 1%
- Oncology top 2%
- CAR-T cell therapy research 12
- Cancer Research top 5%
- Genetics top 2%
- Virus-based gene therapy research 18
- Animal Genetics and Reproduction 9
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- Xenotransplantation and immune response 19
- Pancreatic function and diabetes 8
- Co-authors
- Susumu TonegawaPeter MombaertsVirginia E. PapaioannouRandall S. JohnsonKarl HerrupJessamyn BagleyJuan J. LafailleAlan R. Clarke
- Cited by
- ImmunologyTransplantationOncology
- Journals
- The Journal of Immunology (13 papers)Transplantation (10 papers)American Journal of Transplantation (8 papers)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
John Iacomini
84 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 3.8k
- Transplantation 248
- Oncology 1.0k
- Cancer Research 560
- Genetics 1.0k
Countries citing papers authored by John Iacomini
This map shows the geographic impact of John Iacomini'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 John Iacomini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Iacomini more than expected).
Fields of papers citing papers by John Iacomini
This network shows the impact of papers produced by John Iacomini. 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 John Iacomini. The network helps show where John Iacomini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Iacomini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 12 | |
| 2 | 2016 | 4 | |
| 3 | 2015 | 28 | |
| 4 | 2012 | 10 | |
| 5 | 2011 | 82 | |
| 6 | 2010 | 38 | |
| 7 | 2008 | 11 | |
| 8 | 2007 | 16 | |
| 9 | 2006 | 14 | |
| 10 | 2005 | 34 | |
| 11 | 2004 | 35 | |
| 12 | 2004 | 69 | |
| 13 | 2002 | 49 | |
| 14 | 2002 | 23 | |
| 15 | 2002 | 16 | |
| 16 | 2002 | 3 | |
| 17 | 2000 | 6 | |
| 18 | 2000 | 21 | |
| 19 | 1998 | 29 | |
| 20 | 1996 | 29 |
About John Iacomini
John Iacomini is a scholar working on Immunology, Transplantation, Genetics, Surgery and Cancer Research, having authored 84 papers that have together received 6.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (34 papers), Immune Cell Function and Interaction (28 papers), Xenotransplantation and immune response (19 papers), Virus-based gene therapy research (18 papers), Immunotherapy and Immune Responses (16 papers), CAR-T cell therapy research (12 papers), Animal Genetics and Reproduction (9 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Immunology (3.8k citations), Transplantation (248 citations), Oncology (1.0k citations), Cancer Research (560 citations) and Genetics (1.0k citations). John Iacomini has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Susumu Tonegawa, Peter Mombaerts, Virginia E. Papaioannou, Randall S. Johnson, Karl Herrup, Jessamyn Bagley, Juan J. Lafaille, Alan R. Clarke, Shigeyoshi Itohara and Martin Hooper. Their work appears in journals such as The Journal of Immunology, Transplantation, American Journal of Transplantation, European Journal of Immunology and Gene Therapy.
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.