N. J. Nadler
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology
- Cell Biology top 10%
- Genetics
- Co-authors
- C. P. LeblondB. A. YoungBenjamin MitmakerWenguang ChangS. K. SarkarAntônio HaddadAnnetté HerscovicsCarlos R. Morales
- Topics
- Thyroid Disorders and Treatments (5 papers)Chemical Reactions and Isotopes (4 papers)Thyroid Cancer Diagnosis and Treatment (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- CanadaUnited States
In The Last Decade
N. J. Nadler
24 papers receiving 800 citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 363
- Endocrinology, Diabetes and Metabolism 219
- Physiology 167
- Cell Biology 152
- Genetics 125
Countries citing papers authored by N. J. Nadler
This map shows the geographic impact of N. J. Nadler'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. J. Nadler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. J. Nadler more than expected).
Fields of papers citing papers by N. J. Nadler
This network shows the impact of papers produced by N. J. Nadler. 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. J. Nadler. The network helps show where N. J. Nadler may publish in the future.
Co-authorship network of co-authors of N. J. Nadler
This figure shows the co-authorship network connecting the top 25 collaborators of N. J. Nadler. A scholar is included among the top collaborators of N. J. Nadler 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. J. Nadler. N. J. Nadler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 44 | |
| 3 | 64 | |
| 4 | 1 | |
| 5 | 22 | |
| 6 | 2 | |
| 7 | 50 | |
| 8 | 70 | |
| 9 | 129 | |
| 10 | The effect of hypophysectomy on the experimental production of rat thyroid neoplasms. | 54 |
| 11 | Acute glomerulonephritis during late pregnancy. Report of a case. | 5 |
| 12 | 25 | |
| 13 | 3 | |
| 14 | 152 | |
| 15 | 13 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 51 | |
| 20 | 14 |
About N. J. Nadler
N. J. Nadler is a scholar working on Pharmaceutical Science, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 25 papers that have together received 900 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Chemical Reactions and Isotopes (4 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (219 citations), Reproductive Medicine (89 citations) and Cell Biology (152 citations). N. J. Nadler has collaborated with scholars based in Canada and United States. Frequent co-authors include C. P. Leblond, B. A. Young, Benjamin Mitmaker, Wenguang Chang, S. K. Sarkar, C. P. Leblond, Antônio Haddad, Annetté Herscovics, Carlos R. Morales and Y. Clermont. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.