M. Zakarija
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Genetics top 10%
- Physiology top 10%
- Immunology top 10%
- Co-authors
- J. M. McKenzieAtsuko SatoFrancis J. HornicekDonald MunroMargaret EidsonC. H. BASTOMSKYJoan Stein‐StreileinNatalia García-García
- Topics
- Thyroid Disorders and Treatments (30 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)Ion channel regulation and function (7 papers)
- Partner nations
- CanadaUnited StatesCroatia
In The Last Decade
M. Zakarija
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 1.1k
- Molecular Biology 408
- Genetics 287
- Physiology 234
- Immunology 217
Countries citing papers authored by M. Zakarija
This map shows the geographic impact of M. Zakarija'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 M. Zakarija with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Zakarija more than expected).
Fields of papers citing papers by M. Zakarija
This network shows the impact of papers produced by M. Zakarija. 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 M. Zakarija. The network helps show where M. Zakarija may publish in the future.
Co-authorship network of co-authors of M. Zakarija
This figure shows the co-authorship network connecting the top 25 collaborators of M. Zakarija. A scholar is included among the top collaborators of M. Zakarija 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 M. Zakarija. M. Zakarija is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 162 | |
| 3 | 63 | |
| 4 | 5 | |
| 5 | 29 | |
| 6 | 29 | |
| 7 | 76 | |
| 8 | 1 | |
| 9 | 30 | |
| 10 | 7 | |
| 11 | 41 | |
| 12 | 52 | |
| 13 | Immunochemical characterization of the thyroid-stimulating antibody (TSAb) of Graves' disease: evidence for restricted heterogeneity. | 34 |
| 14 | 20 | |
| 15 | 77 | |
| 16 | 21 | |
| 17 | 93 | |
| 18 | 8 | |
| 19 | The long-acting thyroid stimulatory: is it of importance in Graves' disease. | 2 |
| 20 | 8 |
About M. Zakarija
M. Zakarija is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (30 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Ion channel regulation and function (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (287 citations) and Immunology (217 citations). M. Zakarija has collaborated with scholars based in Canada, United States and Croatia. Frequent co-authors include J. M. McKenzie, Atsuko Sato, Francis J. Hornicek, Donald Munro, Margaret Eidson, C. H. BASTOMSKY, Joan Stein‐Streilein, Natalia García-García, Sungho Jin and E R Podack. Their work appears in journals such as Journal of Clinical Investigation, Annals of Internal Medicine and The Journal of Immunology.
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.