Maria Gerasimova
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Molecular Biology
- Nephrology top 1%
- Pharmacology top 10%
- Co-authors
- Volker VallonTimo RiegMichael RoseHermann KoepsellScott C. ThomsonTakahiro MasudaJoseph SatrianoEric Mayoux
- Topics
- Diabetes Treatment and Management (6 papers)Pancreatic function and diabetes (6 papers)Ion Transport and Channel Regulation (4 papers)
- Journals
- The FASEB JournalAmerican Journal of Physiology-Endocrinology and MetabolismAmerican Journal of Physiology-Cell Physiology
- Partner nations
- United StatesGermanyCroatia
In The Last Decade
Maria Gerasimova
12 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 974
- Surgery 600
- Molecular Biology 528
- Nephrology 407
- Pharmacology 154
Countries citing papers authored by Maria Gerasimova
This map shows the geographic impact of Maria Gerasimova'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 Maria Gerasimova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Gerasimova more than expected).
Fields of papers citing papers by Maria Gerasimova
This network shows the impact of papers produced by Maria Gerasimova. 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 Maria Gerasimova. The network helps show where Maria Gerasimova may publish in the future.
Co-authorship network of co-authors of Maria Gerasimova
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Gerasimova. A scholar is included among the top collaborators of Maria Gerasimova 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 Maria Gerasimova. Maria Gerasimova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 245 | |
| 6 | SGLT2 inhibitor empagliflozin reduces renal growth and albuminuria in proportion to hyperglycemia and prevents glomerular hyperfiltration in diabetic Akita micebreakdown → | 402 |
| 7 | 330 | |
| 8 | 132 | |
| 9 | 97 | |
| 10 | 156 | |
| 11 | 2 | |
| 12 | 42 |
About Maria Gerasimova
Maria Gerasimova is a scholar working on Endocrinology, Diabetes and Metabolism, Transplantation and Nephrology, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Pancreatic function and diabetes (6 papers) and Ion Transport and Channel Regulation (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (974 citations), Nephrology (407 citations) and Clinical Biochemistry (102 citations). Maria Gerasimova has collaborated with scholars based in United States, Germany and Croatia. Frequent co-authors include Volker Vallon, Timo Rieg, Michael Rose, Hermann Koepsell, Scott C. Thomson, Takahiro Masuda, Joseph Satriano, Eric Mayoux, Kenneth A. Platt and Kumar Sharma. Their work appears in journals such as The FASEB Journal, American Journal of Physiology-Endocrinology and Metabolism and American Journal of Physiology-Cell Physiology.
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.