Michael G. Izban
- Molecular Biology top 10%
- Genetics top 10%
- Immunology
- Epidemiology
- Public Health, Environmental and Occupational Health
- Co-authors
- Donal S. LuseMichael D. RuddMelvyn S. SoloffJohn PapaconstantinouM. Angela ParsonsRichard R. SindenYow-Jiun JengB. Nowicki
- Topics
- RNA and protein synthesis mechanisms (8 papers)Reproductive System and Pregnancy (6 papers)Preterm Birth and Chorioamnionitis (6 papers)
- Cited by
- Molecular BiologyGeneticsImmunology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesKazakhstanGreece
In The Last Decade
Michael G. Izban
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 1.2k
- Genetics 296
- Immunology 129
- Epidemiology 102
- Public Health, Environmental and Occupational Health 66
Countries citing papers authored by Michael G. Izban
This map shows the geographic impact of Michael G. Izban'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 Michael G. Izban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Izban more than expected).
Fields of papers citing papers by Michael G. Izban
This network shows the impact of papers produced by Michael G. Izban. 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 Michael G. Izban. The network helps show where Michael G. Izban may publish in the future.
Co-authorship network of co-authors of Michael G. Izban
This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Izban. A scholar is included among the top collaborators of Michael G. Izban 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 Michael G. Izban. Michael G. Izban 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 | 3 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 43 | |
| 8 | 22 | |
| 9 | 46 | |
| 10 | 11 | |
| 11 | 52 | |
| 12 | 44 | |
| 13 | 14 | |
| 14 | 15 | |
| 15 | 33 | |
| 16 | 6 | |
| 17 | 39 | |
| 18 | 26 | |
| 19 | 4 | |
| 20 | 39 |
About Michael G. Izban
Michael G. Izban is a scholar working on Immunology, Molecular Biology and Genetics, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Reproductive System and Pregnancy (6 papers) and Preterm Birth and Chorioamnionitis (6 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Genetics (296 citations) and Immunology (129 citations). Michael G. Izban has collaborated with scholars based in United States, Kazakhstan and Greece. Frequent co-authors include Donal S. Luse, Michael D. Rudd, Melvyn S. Soloff, John Papaconstantinou, M. Angela Parsons, Richard R. Sinden, Yow-Jiun Jeng, B. Nowicki, Stella Nowicki and Billy R. Ballard. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.