Daniel Kaemmerer
Impact in
Papers in
- Epidemiology 46
- Neuroendocrine Tumor Research Advances 46
- Oncology 26
- Lung Cancer Research Studies 20
- Cancer Diagnosis and Treatment 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Amelie Lupp (30 shared papers)Jörg Sänger (30 shared papers)Merten Hommann (28 shared papers)Stefan Schulz (24 shared papers)Richard P. Baum (26 shared papers)Vikas Prasad (12 shared papers)Ralph M. Wirtz (9 shared papers)Dieter Hörsch (10 shared papers)
- Journals
- Oncotarget (6 papers)International Journal of Molecular Sciences (5 papers)Journal of Cancer Research and Clinical Oncology (3 papers)Neuroendocrinology (3 papers)Scientific Reports (3 papers)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Daniel Kaemmerer
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 85
- Neurology 485
- Oncology 744
- Epidemiology 884
- Cancer Research 71
- Radiology, Nuclear Medicine and Imaging 109
Countries citing papers authored by Daniel Kaemmerer
This map shows the geographic impact of Daniel Kaemmerer'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 Daniel Kaemmerer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kaemmerer more than expected).
Fields of papers citing papers by Daniel Kaemmerer
This network shows the impact of papers produced by Daniel Kaemmerer. 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 Daniel Kaemmerer. The network helps show where Daniel Kaemmerer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kaemmerer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 135 | |
| 2 | Comparing of IRS and Her2 as immunohistochemical scoring schemes in gastroenteropancreatic neuroendocrine tumors. | 2012 | 118 |
| 3 | 2011 | 118 | |
| 4 | 2018 | 114 | |
| 5 | 2015 | 84 | |
| 6 | 2009 | 68 | |
| 7 | 2016 | 56 | |
| 8 | 2012 | 47 | |
| 9 | 2019 | 43 | |
| 10 | 2014 | 43 | |
| 11 | 2014 | 40 | |
| 12 | 2017 | 28 | |
| 13 | 2019 | 28 | |
| 14 | 2016 | 27 | |
| 15 | 2016 | 27 | |
| 16 | 2012 | 26 | |
| 17 | 2017 | 26 | |
| 18 | 2011 | 25 | |
| 19 | 2015 | 24 | |
| 20 | 2019 | 23 |
About Daniel Kaemmerer
Daniel Kaemmerer is a scholar working on Epidemiology, Oncology, Neurology, Surgery and Molecular Biology, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (46 papers), Lung Cancer Research Studies (20 papers), Neuroblastoma Research and Treatments (16 papers), Receptor Mechanisms and Signaling (3 papers), Cancer Diagnosis and Treatment (2 papers), Abdominal Trauma and Injuries (2 papers), Peptidase Inhibition and Analysis (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Neurology (485 citations), Oncology (744 citations), Epidemiology (884 citations), Cancer Research (71 citations) and Radiology, Nuclear Medicine and Imaging (109 citations). Daniel Kaemmerer has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Amelie Lupp, Jörg Sänger, Merten Hommann, Stefan Schulz, Richard P. Baum, Vikas Prasad, Ralph M. Wirtz, Dieter Hörsch, Luisa Peter and Harshad Kulkarni. Their work appears in journals such as Oncotarget, International Journal of Molecular Sciences, Journal of Cancer Research and Clinical Oncology, Neuroendocrinology and Scientific Reports.
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.