Jay Sulek
Impact in
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
- Surgery 7
- Bladder and Urothelial Cancer Treatments 3
- Surgical Simulation and Training 2
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- Renal cell carcinoma treatment 4
- Renal and Vascular Pathologies 1
- Co-authors
- Chandru P. Sundaram (6 shared papers)Jackie Cha (2 shared papers)Denny Yu (2 shared papers)Juan Wachs (2 shared papers)Chuhao Wu (2 shared papers)Tian Zhou (1 shared paper)Rachel Bluebond‐Langner (1 shared paper)Helen G. Hui-Chou (1 shared paper)
- Journals
- Journal of Histochemistry & Cytochemistry (1 paper)The Journal of Urology (1 paper)Human Factors The Journal of the Human Factors and Ergonomics Society (1 paper)Leukemia (1 paper)Plastic & Reconstructive Surgery (1 paper)
- Partner nations
- United StatesDenmarkSingapore
In The Last Decade
Jay Sulek
14 papers receiving 305 citations
Peers
Comparison fields: 5 of 69
- Human-Computer Interaction 32
- Health Informatics 5
- Immunology and Allergy 18
- Genetics 31
- Surgery 98
Countries citing papers authored by Jay Sulek
This map shows the geographic impact of Jay Sulek'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 Jay Sulek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Sulek more than expected).
Fields of papers citing papers by Jay Sulek
This network shows the impact of papers produced by Jay Sulek. 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 Jay Sulek. The network helps show where Jay Sulek may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Sulek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2006 | 47 | |
| 3 | 2020 | 37 | |
| 4 | 2010 | 35 | |
| 5 | 2001 | 32 | |
| 6 | 2015 | 19 | |
| 7 | 2021 | 11 | |
| 8 | 2016 | 6 | |
| 9 | 2019 | 5 | |
| 10 | 2020 | 5 | |
| 11 | 2016 | 3 | |
| 12 | 2020 | 2 | |
| 13 | 2015 | 2 | |
| 14 | The Expression of Cancer/Testis Antigens in Kidney and Bladder Malignancies | 2016 | 1 |
About Jay Sulek
Jay Sulek is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Genetics, having authored 14 papers that have together received 307 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (4 papers), Renal and related cancers (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Surgical Simulation and Training (2 papers), Immunotherapy and Immune Responses (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Renal and Vascular Pathologies (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Human-Computer Interaction (32 citations), Health Informatics (5 citations), Immunology and Allergy (18 citations), Genetics (31 citations) and Surgery (98 citations). Jay Sulek has collaborated with scholars based in United States, Denmark and Singapore. Frequent co-authors include Chandru P. Sundaram, Jackie Cha, Denny Yu, Juan Wachs, Chuhao Wu, Tian Zhou, Rachel Bluebond‐Langner, Helen G. Hui-Chou, Eduardo D. Rodriguez and Daniel H. Madsen. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, The Journal of Urology, Human Factors The Journal of the Human Factors and Ergonomics Society, Leukemia and Plastic & Reconstructive Surgery.
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.