Anna Grassi
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in ⓘ
- Hematology 16
- Hematopoietic Stem Cell Transplantation 13
- Acute Myeloid Leukemia Research 5
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- Metabolism and Genetic Disorders 7
- Co-authors
- Ciro Leonardo Pierri (35 shared papers)Chris Tyler‐Smith (1 shared paper)Natalie Thorne (1 shared paper)Matthew E. Hurles (1 shared paper)Claude Beazley (1 shared paper)Richard Redon (1 shared paper)Nigel Carter (1 shared paper)Charles Lee (1 shared paper)
- Journals
- Blood (6 papers)Molecules (3 papers)Haematologica (3 papers)Cells (3 papers)Gene (3 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Anna Grassi
73 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Hematology 468
- Clinical Biochemistry 257
- Genetics 949
- Molecular Biology 1.7k
- Cancer Research 332
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 79 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 | 1269 |
| 2 | 2011 | 198 | |
| 3 | 2007 | 153 | |
| 4 | 2000 | 131 | |
| 5 | 2000 | 97 | |
| 6 | 2007 | 96 | |
| 7 | 2016 | 93 | |
| 8 | 2020 | 92 | |
| 9 | 1997 | 74 | |
| 10 | 2008 | 71 | |
| 11 | 2007 | 70 | |
| 12 | 1996 | 60 | |
| 13 | 2010 | 54 | |
| 14 | 2015 | 53 | |
| 15 | 1996 | 53 | |
| 16 | 2019 | 52 | |
| 17 | 2013 | 50 | |
| 18 | 2016 | 47 | |
| 19 | 2014 | 47 | |
| 20 | 2021 | 43 |
About Anna Grassi
Anna Grassi is a scholar working on Hematology, Clinical Biochemistry, Transplantation, Immunology and Molecular Biology, having authored 79 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (17 papers), Hematopoietic Stem Cell Transplantation (13 papers), ATP Synthase and ATPases Research (7 papers), Metabolism and Genetic Disorders (7 papers), Immune Cell Function and Interaction (6 papers), Genomics and Phylogenetic Studies (5 papers), Acute Myeloid Leukemia Research (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Hematology (468 citations), Clinical Biochemistry (257 citations), Genetics (949 citations), Molecular Biology (1.7k citations) and Cancer Research (332 citations). Anna Grassi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Ciro Leonardo Pierri, Chris Tyler‐Smith, Natalie Thorne, Matthew E. Hurles, Claude Beazley, Richard Redon, Nigel Carter, Charles Lee, Simon Tavaré and Mark Dunning. Their work appears in journals such as Blood, Molecules, Haematologica, Cells and Gene.
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.