Anna Grassi
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
Papers in
-
- Mitochondrial Function and Pathology 17
- ATP Synthase and ATPases Research 6
- Genomics and Phylogenetic Studies 5
- Hematology 17
- Hematopoietic Stem Cell Transplantation 13
- Acute Myeloid Leukemia Research 6
- Co-authors
- Ciro Leonardo Pierri (36 shared papers)Charles Lee (1 shared paper)Claude Beazley (1 shared paper)Catherine Ingle (1 shared paper)Matthew E. Hurles (1 shared paper)Matthew S. Forrest (1 shared paper)Simon Tavaré (1 shared paper)Stephen W. Scherer (1 shared paper)
- Journals
- Blood (8 papers)Gene (3 papers)PLoS ONE (3 papers)Haematologica (3 papers)Bone Marrow Transplantation (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Anna Grassi
76 papers receiving 3.5k citations
Anna Grassi's Hit Papers
Peers
Comparison fields: 5 of 140
- Hematology 412
- Clinical Biochemistry 240
- Genetics 857
- Molecular Biology 1.5k
- Cancer Research 283
Countries citing papers authored by Anna Grassi
This map shows the geographic impact of Anna Grassi'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 Anna Grassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Grassi more than expected).
Fields of papers citing papers by Anna Grassi
This network shows the impact of papers produced by Anna Grassi. 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 Anna Grassi. The network helps show where Anna Grassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Grassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Relative Impact of Nucleotide and Copy Number Variation on Gene Expression Phenotypes Hit paper breakdown → | 2007 | 1276 |
| 2 | 2011 | 203 | |
| 3 | 2007 | 152 | |
| 4 | 2000 | 130 | |
| 5 | 2007 | 97 | |
| 6 | 2000 | 96 | |
| 7 | 2020 | 95 | |
| 8 | 2016 | 95 | |
| 9 | 1997 | 73 | |
| 10 | 2008 | 73 | |
| 11 | 2007 | 71 | |
| 12 | 1996 | 60 | |
| 13 | 2019 | 58 | |
| 14 | 2015 | 56 | |
| 15 | 2010 | 54 | |
| 16 | 1996 | 53 | |
| 17 | 2013 | 52 | |
| 18 | 2014 | 49 | |
| 19 | 2016 | 48 | |
| 20 | 2021 | 47 |
About Anna Grassi
Anna Grassi is a scholar working on Molecular Biology, Hematology, Immunology, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 84 papers that have together received 3.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (17 papers), Hematopoietic Stem Cell Transplantation (13 papers), Metabolism and Genetic Disorders (7 papers), ATP Synthase and ATPases Research (6 papers), Immune Cell Function and Interaction (6 papers), Acute Myeloid Leukemia Research (6 papers), Genomics and Phylogenetic Studies (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Hematology (412 citations), Clinical Biochemistry (240 citations), Genetics (857 citations), Molecular Biology (1.5k citations) and Cancer Research (283 citations). Anna Grassi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Ciro Leonardo Pierri, Charles Lee, Claude Beazley, Catherine Ingle, Matthew E. Hurles, Matthew S. Forrest, Simon Tavaré, Stephen W. Scherer, Mark Dunning and Natalie Thorne. Their work appears in journals such as Blood, Gene, PLoS ONE, Haematologica and Bone Marrow Transplantation.
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.