Arthur S. Tischler
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.2%
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cancer Research top 0.5%
- Co-authors
- LA GreeneLloyd A. GreeneMarc A. DichterJames F. PowersRonald R. de KrijgerRonald A. DeLellisBernard BialesGraeme Eisenhofer
- Topics
- Adrenal and Paraganglionic Tumors (71 papers)Cancer, Hypoxia, and Metabolism (68 papers)Neuroblastoma Research and Treatments (49 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Arthur S. Tischler
202 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 5.1k
- Cellular and Molecular Neuroscience 3.6k
- Surgery 3.3k
- Endocrinology, Diabetes and Metabolism 2.5k
- Cancer Research 2.4k
Countries citing papers authored by Arthur S. Tischler
This map shows the geographic impact of Arthur S. Tischler'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 Arthur S. Tischler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur S. Tischler more than expected).
Fields of papers citing papers by Arthur S. Tischler
This network shows the impact of papers produced by Arthur S. Tischler. 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 Arthur S. Tischler. The network helps show where Arthur S. Tischler may publish in the future.
Co-authorship network of co-authors of Arthur S. Tischler
This figure shows the co-authorship network connecting the top 25 collaborators of Arthur S. Tischler. A scholar is included among the top collaborators of Arthur S. Tischler 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 Arthur S. Tischler. Arthur S. Tischler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 26 | |
| 4 | 18 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | 62 | |
| 9 | 111 | |
| 10 | 424 | |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 37 | |
| 14 | 4 | |
| 15 | 42 | |
| 16 | 32 | |
| 17 | 10 | |
| 18 | Hypertrophy of pheochromocytoma cells treated with nerve growth factor and activators of adenyl cyclase | 2 |
| 19 | Morphologic and cytochemical properties of a clonal line of rat adrenal pheochromocytoma cells which respond to nerve growth factor. | 177 |
| 20 | Small cell carcinoma of the lung: cellular origin and relationship to other neoplasms. | 38 |
About Arthur S. Tischler
Arthur S. Tischler is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Neurology, having authored 205 papers that have together received 11.8k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (71 papers), Cancer, Hypoxia, and Metabolism (68 papers) and Neuroblastoma Research and Treatments (49 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.6k citations), Cancer Research (2.4k citations) and Endocrinology, Diabetes and Metabolism (2.5k citations). Arthur S. Tischler has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include LA Greene, Lloyd A. Greene, Marc A. Dichter, James F. Powers, Ronald R. de Krijger, Ronald A. DeLellis, Bernard Biales, Graeme Eisenhofer, Karel Pacák and Noriko Kimura. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.