Type Diabetes TrialNet Study Group
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 1
- Obstetrics and Gynecology top 10%
- Surgery top 10%
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- Sleep and Wakefulness Research 1
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- Retinal and Optic Conditions 1
- Retinal Diseases and Treatments 1
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- Reproductive Physiology in Livestock 1
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 1
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- Retinal Development and Disorders 1
- Heat shock proteins research 1
- Co-authors
- Michael P. DiamondJennifer FineJohn WhitesidesTim AndersonErwin SurmannPéter DiószeghyVilho V. MyllyläClaudia Trenkwalder
- Journals
- American Journal of Respiratory and Critical Care Medicine (1 paper)American Journal of Obstetrics and Gynecology (1 paper)Fertility and Sterility (1 paper)
- Partner nations
- United StatesSouth AfricaAustria
In The Last Decade
Type Diabetes TrialNet Study Group
5 papers receiving 719 citations
Peers
Comparison fields: 5 of 72
- Neurology 311
- Obstetrics and Gynecology 61
- Surgery 338
- Cognitive Neuroscience 92
- Immunology and Allergy 28
Countries citing papers authored by Type Diabetes TrialNet Study Group
This map shows the geographic impact of Type Diabetes TrialNet Study Group'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 Type Diabetes TrialNet Study Group with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Type Diabetes TrialNet Study Group more than expected).
Fields of papers citing papers by Type Diabetes TrialNet Study Group
This network shows the impact of papers produced by Type Diabetes TrialNet Study Group. 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 Type Diabetes TrialNet Study Group. The network helps show where Type Diabetes TrialNet Study Group may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Type Diabetes TrialNet Study Group, 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 | 2025 | 0 | |
| 2 | 2011 | 4 | |
| 3 | 2010 | 326 | |
| 4 | 2006 | 38 | |
| 5 | 2005 | 24 | |
| 6 | 1996 | 355 |
About Type Diabetes TrialNet Study Group
Type Diabetes TrialNet Study Group is a scholar working on Immunology and Allergy, Obstetrics and Gynecology and Dermatology, having authored 6 papers that have together received 747 indexed citations. Recurring topics across this work include Retinal and Optic Conditions (1 paper), Reproductive Physiology in Livestock (1 paper), Retinal Diseases and Treatments (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Retinal Development and Disorders (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Sleep and Wakefulness Research (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Neurology (311 citations), Obstetrics and Gynecology (61 citations) and Surgery (338 citations). Type Diabetes TrialNet Study Group has collaborated with scholars based in United States, South Africa and Austria. Frequent co-authors include Michael P. Diamond, Jennifer Fine, John Whitesides, Tim Anderson, Erwin Surmann, Péter Diószeghy, Vilho V. Myllylä, Claudia Trenkwalder, Jan Kassubek and Bryan Kies. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, American Journal of Obstetrics and Gynecology and Fertility and Sterility.
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.