Michael Mian

3.6k citations
82 papers · 1.1k indexed · 1 hit paper · h-index 21

Michael Mian

78 papers receiving 1.1k citations

Hit Papers

Human intelligence versus Chat-GPT: who performs better i...4620242026202510203040

Peers

Michael Mian
Comparison fields: 5 of 102
  • Pathology and Forensic Medicine 517
  • Genetics 260
  • Health Informatics 32
  • Urology 103
  • Oncology 353
Replace Ewald Wöll with:
Ewald Wöll Austria
Amy M. DeLozier United States
Sławomir Jeka Poland
Bo Xiang China
Chiara Crotti Italy
Luís Meza United States
Hongqing Zhuang China
Mohsen Ibrahim Italy
B. L. Hazleman United Kingdom
Michael Mian relative to Ewald Wöll Austria Ewald Wöll's profile →
Citations per field
00.5×6.3×
Ewald Wöll · 1×
Citations per year

Countries citing papers authored by Michael Mian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Michael Mian Line = papers co-authored together Michael Mian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20242
4 20231
5 20215
6 20153
7 20154
8 20143
9 201410
10 201411
11 201412
12 201412
13 201427
14 201312
15 201314
16 201051
17 201023
18 201014
19 201024
20 200937

About Michael Mian

Michael Mian is a scholar working on Pathology and Forensic Medicine, Genetics, Emergency Medicine, Neurology and Oncology, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (40 papers), Chronic Lymphocytic Leukemia Research (15 papers), CNS Lymphoma Diagnosis and Treatment (13 papers), Viral-associated cancers and disorders (11 papers), Emergency and Acute Care Studies (10 papers), Bladder and Urothelial Cancer Treatments (6 papers), Urinary and Genital Oncology Studies (5 papers) and Sepsis Diagnosis and Treatment (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (517 citations), Genetics (260 citations), Health Informatics (32 citations), Urology (103 citations) and Oncology (353 citations). Michael Mian has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Patrizia Mondello, Salvatore Cuzzocrea, Armin Pycha, Vincenzo Pitini, Christine Mian, Salvatore Palermo, Evi Comploj, Michele Lodde, Michael Fiegl and Francesco Bertoni. Their work appears in journals such as Blood, Annals of Hematology, Annals of Oncology, Internal and Emergency Medicine and British Journal of Haematology.

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.

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