Ivan V. Gregoretti
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Genomics and Chromatin Dynamics 3
- Photosynthetic Processes and Mechanisms 3
- DNA Repair Mechanisms 2
- Epigenetics and DNA Methylation 1
- Single-cell and spatial transcriptomics 1
-
- Microtubule and mitosis dynamics 7
- Co-authors
- R. Daniel Camerini‐Otero (3 shared papers)Fátima Smagulova (2 shared papers)Kevin Brick (2 shared papers)Pavel P. Khil (2 shared papers)Holly V. Goodson (5 shared papers)Mark Alber (4 shared papers)Gennady Margolin (3 shared papers)Chungwen Wei (1 shared paper)
- Journals
- Molecular Biology of the Cell (2 papers)Nature (1 paper)Nature Immunology (1 paper)The FASEB Journal (1 paper)Developmental Cell (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Ivan V. Gregoretti
10 papers receiving 979 citations
Ivan V. Gregoretti's Hit Papers
Peers
Comparison fields: 5 of 74
- Immunology 292
- Cell Biology 190
- Rheumatology 139
- Molecular Biology 526
- Genetics 127
Countries citing papers authored by Ivan V. Gregoretti
This map shows the geographic impact of Ivan V. Gregoretti'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 Ivan V. Gregoretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan V. Gregoretti more than expected).
Fields of papers citing papers by Ivan V. Gregoretti
This network shows the impact of papers produced by Ivan V. Gregoretti. 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 Ivan V. Gregoretti. The network helps show where Ivan V. Gregoretti may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan V. Gregoretti, 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 | Diversity, cellular origin and autoreactivity of antibody-secreting cell population expansions in acute systemic lupus erythematosus Hit paper breakdown → | 2015 | 400 |
| 2 | 2011 | 272 | |
| 3 | 2013 | 119 | |
| 4 | 2011 | 80 | |
| 5 | 2006 | 44 | |
| 6 | 2006 | 30 | |
| 7 | 2011 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2010 | 4 | |
| 10 | 2025 | 2 | |
| 11 | 2022 | 0 |
About Ivan V. Gregoretti
Ivan V. Gregoretti is a scholar working on Molecular Biology, Cell Biology, Plant Science, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 990 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Plant Molecular Biology Research (3 papers), Genomics and Chromatin Dynamics (3 papers), Photosynthetic Processes and Mechanisms (3 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (1 paper), T-cell and B-cell Immunology (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Immunology (292 citations), Cell Biology (190 citations), Rheumatology (139 citations), Molecular Biology (526 citations) and Genetics (127 citations). Ivan V. Gregoretti has collaborated with scholars based in United States, Germany and France. Frequent co-authors include R. Daniel Camerini‐Otero, Fátima Smagulova, Kevin Brick, Pavel P. Khil, Holly V. Goodson, Mark Alber, Gennady Margolin, Chungwen Wei, Christopher M. Tipton and Jaime Darce. Their work appears in journals such as Molecular Biology of the Cell, Nature, Nature Immunology, The FASEB Journal and Developmental 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.