Michael Mian
Impact in
-
- Lymphoma Diagnosis and Treatment
- Cancer Mechanisms and Therapy
- Health Informatics top 5%
Papers in
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- Lymphoma Diagnosis and Treatment 38
- Oncology 19
- Viral-associated cancers and disorders 8
- Co-authors
- Patrizia Mondello (25 shared papers)Salvatore Cuzzocrea (12 shared papers)Armin Pycha (8 shared papers)Christine Mian (7 shared papers)Vincenzo Pitini (12 shared papers)Evi Comploj (11 shared papers)Michele Lodde (9 shared papers)Salvatore Palermo (9 shared papers)
- Journals
- Blood (9 papers)Annals of Hematology (5 papers)Internal and Emergency Medicine (3 papers)European Urology (3 papers)Annals of Oncology (3 papers)
- Partner nations
- ItalyAustriaUnited States
In The Last Decade
Michael Mian
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Pathology and Forensic Medicine 476
- Health Informatics 33
- Genetics 219
- Oncology 278
- Neurology 146
Countries citing papers authored by Michael Mian
This map shows the geographic impact of Michael Mian'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 Mian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mian more than expected).
Fields of papers citing papers by Michael Mian
This network shows the impact of papers produced by Michael Mian. 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 Mian. The network helps show where Michael Mian may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Mian, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 75 | |
| 2 | 2014 | 74 | |
| 3 | 2008 | 67 | |
| 4 | 2010 | 59 | |
| 5 | 2024 | 50 | |
| 6 | 2014 | 49 | |
| 7 | 2019 | 42 | |
| 8 | 2009 | 39 | |
| 9 | 2005 | 38 | |
| 10 | The value of the ImmunoCyt/uCyt+ test in the detection and follow-up of carcinoma in situ of the urinary bladder. | 2005 | 36 |
| 11 | 2012 | 35 | |
| 12 | 2013 | 30 | |
| 13 | 2010 | 29 | |
| 14 | 2011 | 29 | |
| 15 | 2017 | 28 | |
| 16 | 2015 | 28 | |
| 17 | 2016 | 27 | |
| 18 | 2014 | 27 | |
| 19 | 2010 | 26 | |
| 20 | 2016 | 23 |
About Michael Mian
Michael Mian is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Pulmonary and Respiratory Medicine and Surgery, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (38 papers), Chronic Lymphocytic Leukemia Research (13 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Viral-associated cancers and disorders (8 papers), Emergency and Acute Care Studies (7 papers), Bladder and Urothelial Cancer Treatments (7 papers), Sepsis Diagnosis and Treatment (4 papers) and Advanced Breast Cancer Therapies (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (476 citations), Health Informatics (33 citations), Genetics (219 citations), Oncology (278 citations) and Neurology (146 citations). Michael Mian has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Patrizia Mondello, Salvatore Cuzzocrea, Armin Pycha, Christine Mian, Vincenzo Pitini, Evi Comploj, Michele Lodde, Salvatore Palermo, Michael Fiegl and Francesco Bertoni. Their work appears in journals such as Blood, Annals of Hematology, Internal and Emergency Medicine, European Urology and Annals of Oncology.
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.