Walter Gall
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
Papers in
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- Electronic Health Records Systems 6
-
- Medication Adherence and Compliance 4
- Co-authors
- Michael V. Milburn (4 shared papers)E. D. Salmon (1 shared paper)Daniela Cimini (1 shared paper)Claudio Ciferri (1 shared paper)Jennifer G. DeLuca (1 shared paper)Ele Ferrannini (6 shared papers)Klaus‐Peter Adam (4 shared papers)Andrea Natali (4 shared papers)
- Journals
- Methods of Information in Medicine (6 papers)International Journal of Medical Informatics (3 papers)Diabetes (3 papers)Applied Clinical Informatics (3 papers)PLoS ONE (3 papers)
- Partner nations
- AustriaUnited StatesItaly
In The Last Decade
Walter Gall
61 papers receiving 3.3k citations
Walter Gall's Hit Papers
Peers
Comparison fields: 5 of 145
- Cell Biology 840
- Molecular Biology 2.0k
- Physiology 648
- Health Information Management 92
- Pharmacology 153
Countries citing papers authored by Walter Gall
This map shows the geographic impact of Walter Gall'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 Walter Gall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Gall more than expected).
Fields of papers citing papers by Walter Gall
This network shows the impact of papers produced by Walter Gall. 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 Walter Gall. The network helps show where Walter Gall may publish in the future.
Co-authors
The 25 scholars most cited alongside Walter Gall, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | α-Hydroxybutyrate Is an Early Biomarker of Insulin Resistance and Glucose Intolerance in a Nondiabetic Population Hit paper breakdown → | 2010 | 604 |
| 2 | 2006 | 604 | |
| 3 | 2010 | 498 | |
| 4 | 2012 | 307 | |
| 5 | 2011 | 229 | |
| 6 | 2002 | 146 | |
| 7 | 1999 | 133 | |
| 8 | 2000 | 97 | |
| 9 | 2000 | 82 | |
| 10 | 2013 | 80 | |
| 11 | 2013 | 79 | |
| 12 | 2013 | 67 | |
| 13 | 2002 | 44 | |
| 14 | 2014 | 30 | |
| 15 | 2015 | 27 | |
| 16 | 2016 | 26 | |
| 17 | 2012 | 25 | |
| 18 | 2008 | 25 | |
| 19 | 2019 | 24 | |
| 20 | 1999 | 24 |
About Walter Gall
Walter Gall is a scholar working on Health Information Management, Family Practice, Toxicology, Cell Biology and Physiology, having authored 61 papers that have together received 3.4k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Electronic Health Records Systems (6 papers), Biomedical Text Mining and Ontologies (5 papers), Diet and metabolism studies (5 papers), Pharmacovigilance and Adverse Drug Reactions (4 papers), Medication Adherence and Compliance (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Cell Biology (840 citations), Molecular Biology (2.0k citations), Physiology (648 citations), Health Information Management (92 citations) and Pharmacology (153 citations). Walter Gall has collaborated with scholars based in Austria, United States and Italy. Frequent co-authors include Michael V. Milburn, E. D. Salmon, Daniela Cimini, Claudio Ciferri, Jennifer G. DeLuca, Ele Ferrannini, Klaus‐Peter Adam, Andrea Natali, Kirk D. Beebe and Stefania Camastra. Their work appears in journals such as Methods of Information in Medicine, International Journal of Medical Informatics, Diabetes, Applied Clinical Informatics and PLoS ONE.
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.