Michael Eschenberg
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Nephrology top 2%
- Co-authors
- Daniel E. StepanLori J. WirthSteven I. ShermanJean-Pierre DrozLars BastholtMartin SchlumbergerTodd JuanRenato Martins
- Topics
- Biosimilars and Bioanalytical Methods (4 papers)Thyroid Cancer Diagnosis and Treatment (3 papers)Radiopharmaceutical Chemistry and Applications (2 papers)
- Journals
- New England Journal of MedicineJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- United StatesAustriaItaly
In The Last Decade
Michael Eschenberg
16 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 86
- Oncology 740
- Endocrinology, Diabetes and Metabolism 498
- Pathology and Forensic Medicine 375
- Molecular Biology 362
- Nephrology 290
Countries citing papers authored by Michael Eschenberg
This map shows the geographic impact of Michael Eschenberg'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 Michael Eschenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Eschenberg more than expected).
Fields of papers citing papers by Michael Eschenberg
This network shows the impact of papers produced by Michael Eschenberg. 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 Michael Eschenberg. The network helps show where Michael Eschenberg may publish in the future.
Co-authorship network of co-authors of Michael Eschenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Eschenberg. A scholar is included among the top collaborators of Michael Eschenberg 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 Michael Eschenberg. Michael Eschenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 3 | |
| 3 | 59 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 309 | |
| 7 | 8 | |
| 8 | 255 | |
| 9 | 6 | |
| 10 | 257 | |
| 11 | 363 | |
| 12 | 16 | |
| 13 | 27 | |
| 14 | 25 | |
| 15 | 182 | |
| 16 | 192 |
About Michael Eschenberg
Michael Eschenberg is a scholar working on Immunology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Nephrology (290 citations), Endocrinology, Diabetes and Metabolism (498 citations) and Oncology (740 citations). Michael Eschenberg has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include Daniel E. Stepan, Lori J. Wirth, Steven I. Sherman, Jean-Pierre Droz, Lars Bastholt, Martin Schlumberger, Todd Juan, Renato Martins, Yu-Nien Sun and Michael Hofmann. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.