Tihamer Orban
- Genetics top 0.5%
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Immunology top 2%
- Molecular Biology
- Co-authors
- Sally C. KentDavid A. HaflerDesmond SchatzPeter A. GottliebJeffrey P. KrischerVissia VigliettaJay S. SkylerJames H. Warram
- Topics
- Diabetes and associated disorders (27 papers)Pancreatic function and diabetes (23 papers)Diabetes Management and Research (15 papers)
- Partner nations
- United StatesCanadaHungary
In The Last Decade
Tihamer Orban
37 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Genetics 2.2k
- Surgery 1.7k
- Endocrinology, Diabetes and Metabolism 1.4k
- Immunology 1.3k
- Molecular Biology 580
Countries citing papers authored by Tihamer Orban
This map shows the geographic impact of Tihamer Orban'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 Tihamer Orban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tihamer Orban more than expected).
Fields of papers citing papers by Tihamer Orban
This network shows the impact of papers produced by Tihamer Orban. 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 Tihamer Orban. The network helps show where Tihamer Orban may publish in the future.
Co-authorship network of co-authors of Tihamer Orban
This figure shows the co-authorship network connecting the top 25 collaborators of Tihamer Orban. A scholar is included among the top collaborators of Tihamer Orban based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tihamer Orban. Tihamer Orban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 7 | |
| 3 | 274 | |
| 4 | Co-stimulation modulation with abatacept in patients with recent-onset type 1 diabetes: a randomised, double-blind, placebo-controlled trialbreakdown → | 428 |
| 5 | 5 | |
| 6 | 94 | |
| 7 | 25 | |
| 8 | 62 | |
| 9 | 40 | |
| 10 | 20 | |
| 11 | 25 | |
| 12 | 10 | |
| 13 | 89 | |
| 14 | 12 | |
| 15 | 141 | |
| 16 | 155 | |
| 17 | 10 | |
| 18 | 450 | |
| 19 | Extreme Th1 bias of invariant Vα24JαQ T cells in type 1 diabetesbreakdown → | 550 |
| 20 | 52 |
About Tihamer Orban
Tihamer Orban is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 38 papers that have together received 3.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (27 papers), Pancreatic function and diabetes (23 papers) and Diabetes Management and Research (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Genetics (2.2k citations) and Immunology (1.3k citations). Tihamer Orban has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Sally C. Kent, David A. Hafler, Desmond Schatz, Peter A. Gottlieb, Jeffrey P. Krischer, Vissia Viglietta, Jay S. Skyler, James H. Warram, Elizabeth M. Bradshaw and Andrzej S. Królewski. Their work appears in journals such as Nature, The Lancet and Journal of Clinical Investigation.
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.