Daniel Schimel
Impact in
- Nephrology top 2%
- Parathyroid Disorders and Treatments
- Aging top 5%
Papers in
- Surgery 9
- Adrenal and Paraganglionic Tumors 3
- Infectious Diseases and Tuberculosis 2
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- Tuberculosis Research and Epidemiology 4
- Co-authors
- Calvin J. Kuo (1 shared paper)J. Silvio Gutkind (1 shared paper)Rogério M. Castilho (1 shared paper)Ilsa I. Rovira (1 shared paper)Jie Liu (1 shared paper)Marı́a M. Fergusson (1 shared paper)Hongjun Liu (1 shared paper)Daniela Malide (1 shared paper)
- Journals
- Blood (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)Nature Communications (1 paper)Investigative Radiology (1 paper)Science (1 paper)
- Partner nations
- United StatesHungaryGermany
In The Last Decade
Daniel Schimel
19 papers receiving 1.5k citations
Daniel Schimel's Hit Papers
Peers
Comparison fields: 5 of 104
- Nephrology 267
- Aging 56
- Genetics 190
- Infectious Diseases 325
- Hematology 138
Countries citing papers authored by Daniel Schimel
This map shows the geographic impact of Daniel Schimel'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 Schimel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schimel more than expected).
Fields of papers citing papers by Daniel Schimel
This network shows the impact of papers produced by Daniel Schimel. 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 Schimel. The network helps show where Daniel Schimel may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schimel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Augmented Wnt Signaling in a Mammalian Model of Accelerated Aging Hit paper breakdown → | 2007 | 613 |
| 2 | 2006 | 204 | |
| 3 | 2015 | 159 | |
| 4 | 2013 | 91 | |
| 5 | 2011 | 87 | |
| 6 | 2012 | 83 | |
| 7 | 2017 | 83 | |
| 8 | 2015 | 51 | |
| 9 | 2009 | 37 | |
| 10 | 2009 | 31 | |
| 11 | 2004 | 30 | |
| 12 | 2006 | 26 | |
| 13 | 2008 | 16 | |
| 14 | 2007 | 13 | |
| 15 | 2006 | 10 | |
| 16 | 2006 | 10 | |
| 17 | 2006 | 6 | |
| 18 | 2004 | 2 | |
| 19 | 2010 | 1 |
About Daniel Schimel
Daniel Schimel is a scholar working on Surgery, Infectious Diseases, Epidemiology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Medical Imaging Techniques and Applications (2 papers), Genetic Syndromes and Imprinting (2 papers), Infectious Diseases and Tuberculosis (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Nephrology (267 citations), Aging (56 citations), Genetics (190 citations), Infectious Diseases (325 citations) and Hematology (138 citations). Daniel Schimel has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Calvin J. Kuo, J. Silvio Gutkind, Rogério M. Castilho, Ilsa I. Rovira, Jie Liu, Marı́a M. Fergusson, Hongjun Liu, Daniela Malide, Toren Finkel and Jichun Chen. Their work appears in journals such as Blood, Antimicrobial Agents and Chemotherapy, Nature Communications, Investigative Radiology and Science.
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.