Concepcion R. Nierras
- Genetics top 1%
- Molecular Biology top 5%
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Immunology top 5%
- Co-authors
- Beena AkolkarCécile JulierGrant MorahanPatrick ConcannonStephen S. RichJørn NerupJohn A. ToddFlemming Pociot
- Topics
- Diabetes and associated disorders (20 papers)Pancreatic function and diabetes (20 papers)Diabetes Management and Research (15 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Concepcion R. Nierras
37 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Genetics 1.8k
- Molecular Biology 1.5k
- Surgery 1.3k
- Endocrinology, Diabetes and Metabolism 982
- Immunology 520
Countries citing papers authored by Concepcion R. Nierras
This map shows the geographic impact of Concepcion R. Nierras'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 Concepcion R. Nierras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Concepcion R. Nierras more than expected).
Fields of papers citing papers by Concepcion R. Nierras
This network shows the impact of papers produced by Concepcion R. Nierras. 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 Concepcion R. Nierras. The network helps show where Concepcion R. Nierras may publish in the future.
Co-authorship network of co-authors of Concepcion R. Nierras
This figure shows the co-authorship network connecting the top 25 collaborators of Concepcion R. Nierras. A scholar is included among the top collaborators of Concepcion R. Nierras 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 Concepcion R. Nierras. Concepcion R. Nierras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 43 | |
| 5 | 53 | |
| 6 | 36 | |
| 7 | 49 | |
| 8 | 14 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetesbreakdown → | 1253 |
| 12 | 73 | |
| 13 | 97 | |
| 14 | 302 | |
| 15 | 94 | |
| 16 | 79 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 171 | |
| 20 | 11 |
About Concepcion R. Nierras
Concepcion R. Nierras is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 37 papers that have together received 3.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (20 papers), Pancreatic function and diabetes (20 papers) and Diabetes Management and Research (15 papers). The work is most often cited by research in Genetics (1.8k citations), Endocrinology, Diabetes and Metabolism (982 citations) and Surgery (1.3k citations). Concepcion R. Nierras has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Beena Akolkar, Cécile Julier, Grant Morahan, Patrick Concannon, Stephen S. Rich, Jørn Nerup, John A. Todd, Flemming Pociot, Robert A. Goldstein and Shin‐Ichi Nishikawa. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Nature Reviews Molecular Cell Biology.
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.