V. Pechtner
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Family Practice top 5%
Papers in
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- Diabetes Treatment and Management 12
- Diabetes Management and Research 6
-
- Metabolism, Diabetes, and Cancer 9
- Co-authors
- R. Gentilella (3 shared papers)Linda Shurzinske (3 shared papers)Federico Pérez Manghi (2 shared papers)Guillermo E. Umpierrez (2 shared papers)Santiago Tofé (2 shared papers)Francesco Giorgino (3 shared papers)Agostino Consoli (1 shared paper)Marian Benroubi (2 shared papers)
- Journals
- Diabetes Obesity and Metabolism (2 papers)Diabetes Care (2 papers)American Journal of Clinical Nutrition (2 papers)Patient Preference and Adherence (1 paper)Diabetes & Metabolism (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
V. Pechtner
15 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Endocrinology, Diabetes and Metabolism 916
- Family Practice 40
- Nutrition and Dietetics 222
- Pharmacology 211
- Physiology 241
Countries citing papers authored by V. Pechtner
This map shows the geographic impact of V. Pechtner'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 V. Pechtner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Pechtner more than expected).
Fields of papers citing papers by V. Pechtner
This network shows the impact of papers produced by V. Pechtner. 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 V. Pechtner. The network helps show where V. Pechtner may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Pechtner, 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 | 2014 | 274 | |
| 2 | 2007 | 236 | |
| 3 | 2015 | 205 | |
| 4 | 2017 | 183 | |
| 5 | 2018 | 181 | |
| 6 | 2007 | 93 | |
| 7 | 2018 | 54 | |
| 8 | 2015 | 26 | |
| 9 | 2017 | 16 | |
| 10 | 2016 | 15 | |
| 11 | 2014 | 13 | |
| 12 | 2015 | 10 | |
| 13 | 2014 | 3 | |
| 14 | 2013 | 2 | |
| 15 | 2015 | 1 |
About V. Pechtner
V. Pechtner is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Physiology and Pharmacology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (12 papers), Metabolism, Diabetes, and Cancer (9 papers), Diabetes Management and Research (6 papers), Pancreatic function and diabetes (3 papers), Fatty Acid Research and Health (2 papers), Pharmacology and Obesity Treatment (2 papers), Diet and metabolism studies (2 papers) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (916 citations), Family Practice (40 citations), Nutrition and Dietetics (222 citations), Pharmacology (211 citations) and Physiology (241 citations). V. Pechtner has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include R. Gentilella, Linda Shurzinske, Federico Pérez Manghi, Guillermo E. Umpierrez, Santiago Tofé, Francesco Giorgino, Agostino Consoli, Marian Benroubi, Alan G. Zimmermann and Jui‐Hung Sun. Their work appears in journals such as Diabetes Obesity and Metabolism, Diabetes Care, American Journal of Clinical Nutrition, Patient Preference and Adherence and Diabetes & Metabolism.
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.