Marco Giordan
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Acute Lymphoblastic Leukemia research 9
- Co-authors
- Giuseppe Basso (14 shared papers)Giancarlo Diana (5 shared papers)Geertruy te Kronnie (9 shared papers)Ron Wehrens (7 shared papers)Giovanni Cazzaniga (5 shared papers)Luca Trentin (2 shared papers)Pier Francesco Perri (2 shared papers)Andrea Biondi (5 shared papers)
- Journals
- Blood (3 papers)Leukemia (2 papers)Oncotarget (2 papers)Blood Cancer Journal (1 paper)TrAC Trends in Analytical Chemistry (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Marco Giordan
30 papers receiving 582 citations
Peers
Comparison fields: 5 of 86
- Hematology 176
- Genetics 76
- Statistics and Probability 55
- Public Health, Environmental and Occupational Health 123
- Cancer Research 51
Countries citing papers authored by Marco Giordan
This map shows the geographic impact of Marco Giordan'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 Marco Giordan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Giordan more than expected).
Fields of papers citing papers by Marco Giordan
This network shows the impact of papers produced by Marco Giordan. 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 Marco Giordan. The network helps show where Marco Giordan may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Giordan, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 60 | |
| 2 | 2014 | 57 | |
| 3 | 2015 | 48 | |
| 4 | 2013 | 40 | |
| 5 | 2009 | 40 | |
| 6 | 2010 | 40 | |
| 7 | 2009 | 37 | |
| 8 | 2013 | 32 | |
| 9 | 2012 | 26 | |
| 10 | 2011 | 22 | |
| 11 | 2013 | 21 | |
| 12 | 2013 | 20 | |
| 13 | 2012 | 20 | |
| 14 | 2013 | 19 | |
| 15 | 2017 | 19 | |
| 16 | 2015 | 16 | |
| 17 | 2011 | 13 | |
| 18 | 2011 | 11 | |
| 19 | 2013 | 10 | |
| 20 | 2016 | 10 |
About Marco Giordan
Marco Giordan is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Hematology, Artificial Intelligence and Plant Science, having authored 31 papers that have together received 589 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (9 papers), Plant Physiology and Cultivation Studies (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Horticultural and Viticultural Research (4 papers), Survey Sampling and Estimation Techniques (3 papers), Immune Cell Function and Interaction (3 papers), Acute Myeloid Leukemia Research (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Hematology (176 citations), Genetics (76 citations), Statistics and Probability (55 citations), Public Health, Environmental and Occupational Health (123 citations) and Cancer Research (51 citations). Marco Giordan has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giuseppe Basso, Giancarlo Diana, Geertruy te Kronnie, Ron Wehrens, Giovanni Cazzaniga, Luca Trentin, Pier Francesco Perri, Andrea Biondi, Theo Dingermann and Benedetta Accordi. Their work appears in journals such as Blood, Leukemia, Oncotarget, Blood Cancer Journal and TrAC Trends in Analytical 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.