I. Willers
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Rheumatology top 10%
- Glycogen Storage Diseases and Myoclonus
Papers in
-
- Biochemical and Molecular Research 13
-
- Cytomegalovirus and herpesvirus research 4
- Pneumocystis jirovecii pneumonia detection and treatment 3
- Co-authors
- Andreas Gal (3 shared papers)Michael Beck (2 shared papers)Catharina Whybra (2 shared papers)Surjit Singh (13 shared papers)Bryan Winchester (1 shared paper)K. Brühl (1 shared paper)C. Kampmann (1 shared paper)Rossella Parini (1 shared paper)
- Journals
- Clinical Genetics (5 papers)Advances in experimental medicine and biology (4 papers)Journal of Inherited Metabolic Disease (3 papers)Human Genetics (2 papers)Journal of the Neurological Sciences (1 paper)
- Partner nations
- GermanyPolandUnited States
In The Last Decade
I. Willers
23 papers receiving 496 citations
Peers
Comparison fields: 5 of 52
- Physiology 370
- Rheumatology 103
- Cell Biology 86
- Epidemiology 149
- Clinical Biochemistry 27
Countries citing papers authored by I. Willers
This map shows the geographic impact of I. Willers'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 I. Willers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Willers more than expected).
Fields of papers citing papers by I. Willers
This network shows the impact of papers produced by I. Willers. 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 I. Willers. The network helps show where I. Willers may publish in the future.
Co-authors
The 25 scholars most cited alongside I. Willers, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 222 | |
| 2 | 2003 | 174 | |
| 3 | 1983 | 21 | |
| 4 | 1974 | 20 | |
| 5 | 1977 | 16 | |
| 6 | 1975 | 11 | |
| 7 | 1976 | 9 | |
| 8 | 1981 | 8 | |
| 9 | 1981 | 8 | |
| 10 | 1999 | 8 | |
| 11 | 1977 | 5 | |
| 12 | 1982 | 4 | |
| 13 | 2004 | 4 | |
| 14 | 1993 | 4 | |
| 15 | 1980 | 3 | |
| 16 | 1986 | 3 | |
| 17 | 1989 | 2 | |
| 18 | 1990 | 2 | |
| 19 | 1980 | 2 | |
| 20 | 2008 | 1 |
About I. Willers
I. Willers is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Pediatrics, Perinatology and Child Health and Speech and Hearing, having authored 25 papers that have together received 530 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (13 papers), HIV/AIDS drug development and treatment (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Neonatal Health and Biochemistry (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Metabolism and Genetic Disorders (2 papers), Adenosine and Purinergic Signaling (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Physiology (370 citations), Rheumatology (103 citations), Cell Biology (86 citations), Epidemiology (149 citations) and Clinical Biochemistry (27 citations). I. Willers has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include Andreas Gal, Michael Beck, Catharina Whybra, Surjit Singh, Bryan Winchester, K. Brühl, C. Kampmann, Rossella Parini, Markus Ries and Joanna P. Davies. Their work appears in journals such as Clinical Genetics, Advances in experimental medicine and biology, Journal of Inherited Metabolic Disease, Human Genetics and Journal of the Neurological Sciences.
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.