Maria Gerasimova

1.7k total citations · 1 hit paper
12 papers, 1.4k citations indexed

About

Maria Gerasimova is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Maria Gerasimova has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Surgery. Recurrent topics in Maria Gerasimova's work include Diabetes Treatment and Management (6 papers), Pancreatic function and diabetes (6 papers) and Ion Transport and Channel Regulation (4 papers). Maria Gerasimova is often cited by papers focused on Diabetes Treatment and Management (6 papers), Pancreatic function and diabetes (6 papers) and Ion Transport and Channel Regulation (4 papers). Maria Gerasimova collaborates with scholars based in United States, Germany and Croatia. Maria Gerasimova's 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 and has published in prestigious journals such as The FASEB Journal, American Journal of Physiology-Endocrinology and Metabolism and American Journal of Physiology-Cell Physiology.

In The Last Decade

Maria Gerasimova

12 papers receiving 1.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SGLT2 inhibitor empagliflozin reduces renal growth and albuminuria in proportion to hyperglycemia and prevents glomerular hyperfiltration in diabetic Akita mice

2013 402 citations Volker Vallon, Maria Gerasimova et al. American Journal of Physiology-Renal Physiology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maria Gerasimova United States	9	974	600	528	407	154	12	1.4k
Tsukasa Morii Japan	18	553 0.6×	327 0.5×	359 0.7×	316 0.8×	125 0.8×	29	1.3k
Hitomi Usui Japan	13	369 0.4×	249 0.4×	444 0.8×	659 1.6×	126 0.8×	14	1.6k
Hiromi Fujishima Japan	12	389 0.4×	206 0.3×	260 0.5×	258 0.6×	99 0.6×	12	1.0k
Kengo Azushima Japan	21	492 0.5×	226 0.4×	390 0.7×	320 0.8×	153 1.0×	94	1.5k
Tomio Onuma Japan	24	778 0.8×	260 0.4×	288 0.5×	138 0.3×	106 0.7×	53	1.4k
Lisa E. Porter United States	8	1.1k 1.2×	353 0.6×	570 1.1×	172 0.4×	277 1.8×	10	1.5k
Sven Schnaidt Germany	13	1.5k 1.6×	540 0.9×	517 1.0×	121 0.3×	141 0.9×	22	1.9k
Hitoshi Minakuchi Japan	15	246 0.3×	232 0.4×	525 1.0×	332 0.8×	53 0.3×	29	1.4k
P. Damsbo Denmark	18	722 0.7×	343 0.6×	521 1.0×	139 0.3×	155 1.0×	20	1.4k
Masanori Yokono Japan	10	717 0.7×	418 0.7×	401 0.8×	67 0.2×	89 0.6×	17	970

Countries citing papers authored by Maria Gerasimova

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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12 of 12 papers shown

Fu, Yiling, Maria Gerasimova, Paul W. Sanders, et al.. (2014). PPARγ Agonist-Induced Fluid Retention Depends on αENaC Expression in Connecting Tubules. The Nephron journals/Nephron journals. 129(1). 68–74. 14 indexed citations

Gerasimova, Maria, Michael Rose, Hermann Koepsell, et al.. (2014). What makes SGLT2 inhibition so effective in lowering blood glucose in diabetes? (689.5). The FASEB Journal. 28(S1). 1 indexed citations

Fu, Yiling, Takahiro Masuda, Akiko Eguchi, et al.. (2014). Dipeptidyl peptidase‐4 inhibitor lowers PPARγ agonist‐induced body weight gain by affecting food intake, fat mass and beige/brown fat but not fluid retention (1160.9). The FASEB Journal. 28(S1). 1 indexed citations

Masuda, Takahiro, Yiling Fu, Akiko Eguchi, et al.. (2013). Dipeptidyl peptidase IV inhibitor lowers PPARγ agonist-induced body weight gain by affecting food intake, fat mass, and beige/brown fat but not fluid retention. American Journal of Physiology-Endocrinology and Metabolism. 306(4). E388–E398. 14 indexed citations

Rieg, Timo, Takahiro Masuda, Maria Gerasimova, et al.. (2013). Increase in SGLT1-mediated transport explains renal glucose reabsorption during genetic and pharmacological SGLT2 inhibition in euglycemia. American Journal of Physiology-Renal Physiology. 306(2). F188–F193. 245 indexed citations

Vallon, Volker, Maria Gerasimova, Michael Rose, et al.. (2013). SGLT2 inhibitor empagliflozin reduces renal growth and albuminuria in proportion to hyperglycemia and prevents glomerular hyperfiltration in diabetic Akita mice. American Journal of Physiology-Renal Physiology. 306(2). F194–F204. 402 indexed citations breakdown →

Vallon, Volker, Michael Rose, Maria Gerasimova, et al.. (2012). Knockout of Na-glucose transporter SGLT2 attenuates hyperglycemia and glomerular hyperfiltration but not kidney growth or injury in diabetes mellitus. American Journal of Physiology-Renal Physiology. 304(2). F156–F167. 330 indexed citations

Vallon, Volker, Satish A. Eraly, Maria Gerasimova, et al.. (2012). A role for the organic anion transporter OAT3 in renal creatinine secretion in mice. American Journal of Physiology-Renal Physiology. 302(10). F1293–F1299. 97 indexed citations

Rieg, Timo, Maria Gerasimova, Fiona Murray, et al.. (2012). Natriuretic effect by exendin-4, but not the DPP-4 inhibitor alogliptin, is mediated via the GLP-1 receptor and preserved in obese type 2 diabetic mice. American Journal of Physiology-Renal Physiology. 303(7). F963–F971. 132 indexed citations

10.

Sabolić, Ivan, Ivana Vrhovac, Maria Gerasimova, et al.. (2012). Expression of Na⁺-d-glucose cotransporter SGLT2 in rodents is kidney-specific and exhibits sex and species differences. American Journal of Physiology-Cell Physiology. 302(8). C1174–C1188. 156 indexed citations

11.

Rose, Michael, Maria Gerasimova, Robyn Cunard, et al.. (2012). No extrarenal expression of SGLT2 and sex differences in renal expression. The FASEB Journal. 26(S1). 2 indexed citations

12.

Rieg, Timo, Maria Gerasimova, José L. Boyer, Paul A. Insel, & Volker Vallon. (2011). P2Y₂receptor activation decreases blood pressure and increases renal Na⁺excretion. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 301(2). R510–R518. 42 indexed citations

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.

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