Michael J. Becich

100 papers receiving 4.0k citations

Hit Papers

Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression 2005 · 612 citations
6122004202620112018200400600

Peers

Michael J. Becich
Comparison fields: 5 of 156
  • Health Informatics 91
  • Cancer Research 835
  • Pulmonary and Respiratory Medicine 1.3k
  • Health Information Management 147
  • Molecular Biology 2.1k
Replace Martin Dugas with:
Martin Dugas Germany
Sean Khozin United States
Rajiv Dhir United States
Subha Madhavan United States
Zexian Zeng United States
David F. Steiner United States
Mario Roselli Italy
Johan Lundin Finland
Mikael Lundin Finland
André Goy United States
Michael J. Becich relative to Martin Dugas Germany Martin Dugas's profile →
Citations per field
00.5×1.5×2.4×
Martin Dugas · 1×
Citations per year

Countries citing papers authored by Michael J. Becich

Since Specialization
Citations

This map shows the geographic impact of Michael J. Becich'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 J. Becich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Becich more than expected).

Fields of papers citing papers by Michael J. Becich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Becich. 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 J. Becich. The network helps show where Michael J. Becich may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael J. Becich, 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 J. Becich Line = papers co-authored together Michael J. Becich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 202313
3 202119
4 201910
5 201416
6 201330
7 201348
8 201118
9 20104
10 2008104
11 200853
12 200834
13 200736
14
High Prevalence of Screening-detected Prostate Cancer among Afro-Caribbeans
20025
15 200144
16 199929
17
A Graphical User Interface for Content-Based Image Retrieval Engine that Allows Remote Server Access Through the Internet
19981
18
Prostatic carcinoma with signet ring cells: a clinicopathologic and immunohistochemical analysis of 12 cases, with review of the literature.
199838
19 199738
20 199451

About Michael J. Becich

Michael J. Becich is a scholar working on Health Information Management, Health Informatics, Pulmonary and Respiratory Medicine, Cancer Research and Geriatrics and Gerontology, having authored 103 papers that have together received 4.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (17 papers), Occupational and environmental lung diseases (16 papers), Molecular Biology Techniques and Applications (14 papers), Biomedical Text Mining and Ontologies (14 papers), AI in cancer detection (13 papers), Cancer Genomics and Diagnostics (8 papers), Electronic Health Records Systems (7 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Health Informatics (91 citations), Cancer Research (835 citations), Pulmonary and Respiratory Medicine (1.3k citations), Health Information Management (147 citations) and Molecular Biology (2.1k citations). Michael J. Becich has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Rajiv Dhir, Uma Chandran, George K. Michalopoulos, Federico A. Monzon, Sydney Finkelstein, Yan Yu, Jianhua Luo, Changqing Ma, Douglas Landsittel and Michelle Bisceglia. Their work appears in journals such as BMC Cancer, Journal of Pathology Informatics, Advances in Anatomic Pathology, F1000Research and Journal of the American Medical Informatics Association.

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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