Joseph T. Azok
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Genetics
- Surgery
- Cardiology and Cardiovascular Medicine
- Co-authors
- Jason K. LempelPieter L. deHasethGianina PanaghieLaura TsujikawaRahul D. RenapurkarMichael A. BolenCharles T. LauAhmed H. El-Sherief
- Topics
- Advanced Proteomics Techniques and Applications (4 papers)Machine Learning in Bioinformatics (3 papers)Lung Cancer Diagnosis and Treatment (3 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Joseph T. Azok
17 papers receiving 233 citations
Peers
Comparison fields: 5 of 55
- Pulmonary and Respiratory Medicine 77
- Molecular Biology 72
- Genetics 55
- Surgery 36
- Cardiology and Cardiovascular Medicine 34
Countries citing papers authored by Joseph T. Azok
This map shows the geographic impact of Joseph T. Azok'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 Joseph T. Azok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph T. Azok more than expected).
Fields of papers citing papers by Joseph T. Azok
This network shows the impact of papers produced by Joseph T. Azok. 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 Joseph T. Azok. The network helps show where Joseph T. Azok may publish in the future.
Co-authorship network of co-authors of Joseph T. Azok
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph T. Azok. A scholar is included among the top collaborators of Joseph T. Azok based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph T. Azok. Joseph T. Azok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 37 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 16 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 15 | |
| 13 | 19 | |
| 14 | 5 | |
| 15 | Linear predictive coding and its decision logic for early prediction of major adverse cardiac events using mass spectrometry data | 1 |
| 16 | 1 | |
| 17 | 59 |
About Joseph T. Azok
Joseph T. Azok is a scholar working on Internal Medicine, Spectroscopy and Emergency Medicine, having authored 17 papers that have together received 240 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Machine Learning in Bioinformatics (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Internal Medicine (20 citations), Critical Care and Intensive Care Medicine (16 citations) and Health Information Management (11 citations). Joseph T. Azok has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Jason K. Lempel, Pieter L. deHaseth, Gianina Panaghie, Laura Tsujikawa, Rahul D. Renapurkar, Michael A. Bolen, Charles T. Lau, Ahmed H. El-Sherief, Gerard Hoehn and King C. Li. Their work appears in journals such as Journal of Biological Chemistry, Radiology and Radiographics.
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.