N. N. Teng
- Obstetrics and Gynecology top 1%
- Molecular Biology
- Reproductive Medicine top 1%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Hillard KaplanDaniel S. KappJohn K. ChanKathryn OsannM. K. CheungTeri A. LongacreMarcia M. BieberMichael Hendrickson
- Topics
- Monoclonal and Polyclonal Antibodies Research (13 papers)Ovarian cancer diagnosis and treatment (6 papers)Glycosylation and Glycoproteins Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyThe Journal of Immunology
- Partner nations
- United StatesUnited KingdomMalaysia
In The Last Decade
N. N. Teng
36 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Obstetrics and Gynecology 589
- Molecular Biology 560
- Reproductive Medicine 537
- Immunology 497
- Radiology, Nuclear Medicine and Imaging 384
Countries citing papers authored by N. N. Teng
This map shows the geographic impact of N. N. Teng'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 N. N. Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. N. Teng more than expected).
Fields of papers citing papers by N. N. Teng
This network shows the impact of papers produced by N. N. Teng. 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 N. N. Teng. The network helps show where N. N. Teng may publish in the future.
Co-authorship network of co-authors of N. N. Teng
This figure shows the co-authorship network connecting the top 25 collaborators of N. N. Teng. A scholar is included among the top collaborators of N. N. Teng 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 N. N. Teng. N. N. Teng 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 | 21 | |
| 3 | 13 | |
| 4 | 84 | |
| 5 | 115 | |
| 6 | Uterine papillary serous and clear cell carcinomas predict for poorer survival compared to grade 3 endometrioid corpus cancersbreakdown → | 482 |
| 7 | 1 | |
| 8 | 22 | |
| 9 | VH4-34 encoded antibodies in systemic lupus erythematosus: a specific diagnostic marker that correlates with clinical disease characteristics. | 99 |
| 10 | 27 | |
| 11 | 71 | |
| 12 | 43 | |
| 13 | 28 | |
| 14 | 110 | |
| 15 | 44 | |
| 16 | 7 | |
| 17 | 52 | |
| 18 | 129 | |
| 19 | 117 | |
| 20 | 65 |
About N. N. Teng
N. N. Teng is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Ovarian cancer diagnosis and treatment (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Obstetrics and Gynecology (589 citations), Reproductive Medicine (537 citations) and Immunology (497 citations). N. N. Teng has collaborated with scholars based in United States, United Kingdom and Malaysia. Frequent co-authors include Hillard Kaplan, Daniel S. Kapp, John K. Chan, Kathryn Osann, M. K. Cheung, Teri A. Longacre, Marcia M. Bieber, Michael Hendrickson, Chad A. Hamilton and Matthew A. Powell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Immunology.
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.