David J. Zahniser
- Epidemiology top 5%
- Oncology top 10%
- Molecular Biology
- Surgery
- Reproductive Medicine top 5%
- Co-authors
- Michael J. BaumStuart TobetMartha L. HutchinsonJames LinderAttila T. LörinczJerome L. BelinsonPaul ElsonYou‐Lin Qiao
- Topics
- Cervical Cancer and HPV Research (9 papers)AI in cancer detection (7 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Partner nations
- United StatesNetherlandsCosta Rica
In The Last Decade
David J. Zahniser
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Epidemiology 879
- Oncology 284
- Molecular Biology 266
- Surgery 242
- Reproductive Medicine 187
Countries citing papers authored by David J. Zahniser
This map shows the geographic impact of David J. Zahniser'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 David J. Zahniser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Zahniser more than expected).
Fields of papers citing papers by David J. Zahniser
This network shows the impact of papers produced by David J. Zahniser. 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 David J. Zahniser. The network helps show where David J. Zahniser may publish in the future.
Co-authorship network of co-authors of David J. Zahniser
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Zahniser. A scholar is included among the top collaborators of David J. Zahniser 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 David J. Zahniser. David J. Zahniser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 17 | |
| 3 | 275 | |
| 4 | 38 | |
| 5 | 6 | |
| 6 | 95 | |
| 7 | 74 | |
| 8 | 19 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 145 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | Computerized microscopic analysis of prostatic fine needle aspirates. Comparison with breast aspirates. | 4 |
| 15 | 5 | |
| 16 | 87 | |
| 17 | Detecting infection-related changes in peripheral blood smears with image analysis techniques. | 1 |
| 18 | 9 | |
| 19 | 13 | |
| 20 | 94 |
About David J. Zahniser
David J. Zahniser is a scholar working on Behavioral Neuroscience, Biophysics and Microbiology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (9 papers), AI in cancer detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Epidemiology (879 citations), Reproductive Medicine (187 citations) and Obstetrics and Gynecology (107 citations). David J. Zahniser has collaborated with scholars based in United States, Netherlands and Costa Rica. Frequent co-authors include Michael J. Baum, Stuart Tobet, Martha L. Hutchinson, James Linder, Attila T. Lörincz, Jerome L. Belinson, Paul Elson, You‐Lin Qiao, Robert G. Pretorius and C. Fischer. Their work appears in journals such as Journal of Biological Chemistry, Cancer and Brain Research.
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.