Lydia Makaroff
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Epidemiology top 5%
- Surgery top 5%
- Physiology top 5%
- Co-authors
- David CavanUte LinnenkampKatherine OgurtsovaLeonor GuariguataJoão FernandesJonathan E. ShawYadi HuangJ. da Rocha Fernandes
- Topics
- Bladder and Urothelial Cancer Treatments (7 papers)T-cell and B-cell Immunology (6 papers)Health Systems, Economic Evaluations, Quality of Life (5 papers)
- Partner nations
- BelgiumUnited KingdomUnited States
In The Last Decade
Lydia Makaroff
35 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Endocrinology, Diabetes and Metabolism 1.9k
- Molecular Biology 996
- Epidemiology 735
- Surgery 609
- Physiology 609
Countries citing papers authored by Lydia Makaroff
This map shows the geographic impact of Lydia Makaroff'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 Lydia Makaroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lydia Makaroff more than expected).
Fields of papers citing papers by Lydia Makaroff
This network shows the impact of papers produced by Lydia Makaroff. 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 Lydia Makaroff. The network helps show where Lydia Makaroff may publish in the future.
Co-authorship network of co-authors of Lydia Makaroff
This figure shows the co-authorship network connecting the top 25 collaborators of Lydia Makaroff. A scholar is included among the top collaborators of Lydia Makaroff 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 Lydia Makaroff. Lydia Makaroff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 23 | |
| 10 | 11 | |
| 11 | 20 | |
| 12 | IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040breakdown → | 4215 |
| 13 | 62 | |
| 14 | 3 | |
| 15 | 38 | |
| 16 | 28 | |
| 17 | 37 | |
| 18 | Genetic control of T cell immune tolerance mechanisms and susceptibility to autoimmune disease | 1 |
| 19 | 34 | |
| 20 | 53 |
About Lydia Makaroff
Lydia Makaroff is a scholar working on Family Practice, Ophthalmology and Urology, having authored 35 papers that have together received 5.1k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (7 papers), T-cell and B-cell Immunology (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Ophthalmology (426 citations) and Family Practice (71 citations). Lydia Makaroff has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include David Cavan, Ute Linnenkamp, Katherine Ogurtsova, Leonor Guariguata, João Fernandes, Jonathan E. Shaw, Yadi Huang, J. da Rocha Fernandes, Ping Zhang and Till Seuring. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.