George L. Wied
- Epidemiology top 10%
- Surgery
- Oncology
- Molecular Biology
- Artificial Intelligence top 10%
- Co-authors
- Marluce BibboPeter H. BartelsHarvey E. DytchM. Edward DavisP H BartelsOscar W. RichardsL G KossRichard S. Eisenstein
- Topics
- AI in cancer detection (12 papers)Cell Image Analysis Techniques (11 papers)Cervical Cancer and HPV Research (11 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
George L. Wied
75 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Epidemiology 379
- Surgery 243
- Oncology 230
- Molecular Biology 196
- Artificial Intelligence 127
Countries citing papers authored by George L. Wied
This map shows the geographic impact of George L. Wied'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 George L. Wied with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George L. Wied more than expected).
Fields of papers citing papers by George L. Wied
This network shows the impact of papers produced by George L. Wied. 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 George L. Wied. The network helps show where George L. Wied may publish in the future.
Co-authorship network of co-authors of George L. Wied
This figure shows the co-authorship network connecting the top 25 collaborators of George L. Wied. A scholar is included among the top collaborators of George L. Wied 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 George L. Wied. George L. Wied is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | The Bethesda System for reporting cervical/vaginal cytologic diagnoses | 196 |
| 3 | Comparison of estrogen receptor immunocytochemical assay in frozen and paraffin sections. | 4 |
| 4 | 14 | |
| 5 | Stereotaxic fine needle aspiration cytology of clinically occult malignant and premalignant breast lesions. | 58 |
| 6 | MicroTICAS. The design of an inexpensive video-based microphotometer/computer system for DNA ploidy studies. | 16 |
| 7 | Differential diagnosis between follicular adenoma and follicular carcinoma of the thyroid by marker features. | 15 |
| 8 | 34 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | Computer assisted analysis of a carrier culture infected with Moloney leukemia virus. | 7 |
| 12 | 24 | |
| 13 | An electronic data processing program for cytologic screening projects for uterine carcinoma. | 5 |
| 14 | 3 | |
| 15 | Proceedings of the First International Congress of Exfoliative Cytology : Vienna, Austria August 31 to September 2, 1961 | 1 |
| 16 | 2 | |
| 17 | Long-acting progestational agents; 17-ethinyl-19-nortestosterone enanthate, 17 alpha-hydroxyprogesterone caproate and 17-alpha-hydroxy-progesterone acetate. | 5 |
| 18 | 6 | |
| 19 | 24 | |
| 20 | 15 |
About George L. Wied
George L. Wied is a scholar working on Biophysics, Epidemiology and Artificial Intelligence, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Cell Image Analysis Techniques (11 papers) and Cervical Cancer and HPV Research (11 papers). The work is most often cited by research in Epidemiology (379 citations), Biophysics (62 citations) and Reproductive Medicine (89 citations). George L. Wied has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Marluce Bibbo, Peter H. Bartels, Harvey E. Dytch, M. Edward Davis, P H Bartels, Oscar W. Richards, L G Koss, Richard S. Eisenstein, G. F. Bahr and Arthur L. Herbst. Their work appears in journals such as New England Journal of Medicine, JAMA and The Journal of Clinical Endocrinology & Metabolism.
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.