Erik J. Uhlmann
- Molecular Biology top 5%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 5%
- Cancer Research top 5%
- Co-authors
- David H. GutmannMichael WongG. ChinnaduraiT. SubramanianAnna M. KrichevskyJeffrey I. ZwickerKelvin A. YamadaUte Schaeper
- Topics
- Glioma Diagnosis and Treatment (12 papers)Brain Metastases and Treatment (11 papers)Tuberous Sclerosis Complex Research (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Erik J. Uhlmann
71 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.7k
- Oncology 734
- Pulmonary and Respiratory Medicine 589
- Physiology 532
- Cancer Research 447
Countries citing papers authored by Erik J. Uhlmann
This map shows the geographic impact of Erik J. Uhlmann'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 Erik J. Uhlmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik J. Uhlmann more than expected).
Fields of papers citing papers by Erik J. Uhlmann
This network shows the impact of papers produced by Erik J. Uhlmann. 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 Erik J. Uhlmann. The network helps show where Erik J. Uhlmann may publish in the future.
Co-authorship network of co-authors of Erik J. Uhlmann
This figure shows the co-authorship network connecting the top 25 collaborators of Erik J. Uhlmann. A scholar is included among the top collaborators of Erik J. Uhlmann 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 Erik J. Uhlmann. Erik J. Uhlmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 12 | |
| 5 | Single-cell RNA sequencing reveals evolution of immune landscape during glioblastoma progressionbreakdown → | 153 |
| 6 | 19 | |
| 7 | 5 | |
| 8 | 36 | |
| 9 | 84 | |
| 10 | Brain metastases in patients with EGFR -mutated or ALK -rearranged non-small-cell lung cancersbreakdown → | 348 |
| 11 | 56 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | 183 | |
| 15 | 30 | |
| 16 | 24 | |
| 17 | 3 | |
| 18 | 70 | |
| 19 | 37 | |
| 20 | 31 |
About Erik J. Uhlmann
Erik J. Uhlmann is a scholar working on Internal Medicine, Genetics and Neurology, having authored 73 papers that have together received 3.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Brain Metastases and Treatment (11 papers) and Tuberous Sclerosis Complex Research (10 papers). The work is most often cited by research in Internal Medicine (234 citations), Genetics (383 citations) and Cancer Research (447 citations). Erik J. Uhlmann has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David H. Gutmann, Michael Wong, G. Chinnadurai, T. Subramanian, Anna M. Krichevsky, Jeffrey I. Zwicker, Kelvin A. Yamada, Ute Schaeper, Sumit Verma and Eric T. Wong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.