Anna Reznichenko

1.6k total citations
18 papers, 445 citations indexed

About

Anna Reznichenko is a scholar working on Nephrology, Molecular Biology and Genetics. According to data from OpenAlex, Anna Reznichenko has authored 18 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nephrology, 8 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Anna Reznichenko's work include Chronic Kidney Disease and Diabetes (7 papers), Renal and related cancers (4 papers) and Renal Diseases and Glomerulopathies (4 papers). Anna Reznichenko is often cited by papers focused on Chronic Kidney Disease and Diabetes (7 papers), Renal and related cancers (4 papers) and Renal Diseases and Glomerulopathies (4 papers). Anna Reznichenko collaborates with scholars based in Sweden, Netherlands and United Kingdom. Anna Reznichenko's co-authors include Ron Korstanje, Mark Berner Hansen, Ib Groth Clausen, Silvio Danese, Gerhard Böttcher, Clare A. Balendran, Carina Kärrman Mårdh, Mohib Uddin, Thomas T. MacDonald and Daniel Muthas and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Kidney International.

In The Last Decade

Anna Reznichenko

17 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Reznichenko Sweden	10	160	117	111	97	67	18	445
Alessandra Dalla Gassa Italy	12	173 1.1×	37 0.3×	52 0.5×	109 1.1×	40 0.6×	14	420
Yuanmeng Jin China	11	220 1.4×	37 0.3×	86 0.8×	197 2.0×	50 0.7×	24	493
Jeremy S. Leventhal United States	14	192 1.2×	28 0.2×	139 1.3×	200 2.1×	79 1.2×	20	562
Tsukasa Takemura Japan	12	150 0.9×	42 0.4×	53 0.5×	160 1.6×	124 1.9×	48	531
Theresa M. Corpuz Australia	8	105 0.7×	27 0.2×	284 2.6×	110 1.1×	74 1.1×	8	535
Tomasz Dawiskiba Poland	11	257 1.6×	61 0.5×	59 0.5×	45 0.5×	189 2.8×	32	545
Tung‐Nan Liao Taiwan	14	174 1.1×	27 0.2×	149 1.3×	103 1.1×	69 1.0×	20	601
Denise Ramjit United States	14	131 0.8×	122 1.0×	22 0.2×	149 1.5×	111 1.7×	16	843
J. J. Weening Netherlands	6	92 0.6×	24 0.2×	53 0.5×	119 1.2×	44 0.7×	12	403
Alana A. Shigeoka United States	9	280 1.8×	18 0.2×	359 3.2×	167 1.7×	123 1.8×	12	662

Countries citing papers authored by Anna Reznichenko

Since Specialization

Citations

This map shows the geographic impact of Anna Reznichenko'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 Anna Reznichenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Reznichenko more than expected).

Fields of papers citing papers by Anna Reznichenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Reznichenko. 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 Anna Reznichenko. The network helps show where Anna Reznichenko may publish in the future.

Co-authorship network of co-authors of Anna Reznichenko

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Reznichenko. A scholar is included among the top collaborators of Anna Reznichenko 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 Anna Reznichenko. Anna Reznichenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Witasp, Anna, Kerstin Ebefors, Johan Mölne, et al.. (2025). Kidney transcriptomics signature of prospective rapid diabetic kidney disease progression. BMC Nephrology. 26(1). 504–504.

Reznichenko, Anna, et al.. (2024). Kidney mRNA-protein expression correlation: what can we learn from the Human Protein Atlas?. Journal of Nephrology. 38(1). 135–141. 3 indexed citations

Nag, Abhishek, Ryan S. Dhindsa, Xiao Jiang, et al.. (2023). Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank. The American Journal of Human Genetics. 110(3). 487–498. 8 indexed citations

Buvall, Lisa, Robert Menzies, Julie Williams, et al.. (2022). Selecting the right therapeutic target for kidney disease. Frontiers in Pharmacology. 13. 971065–971065. 8 indexed citations

Harper, Andrew R., Abhishek Nag, Quanli Wang, et al.. (2022). Gene-SCOUT: identifying genes with similar continuous trait fingerprints from phenome-wide association analyses. Nucleic Acids Research. 50(8). 4289–4301. 3 indexed citations

Gennemark, Peter, Ditte Gry Ellman, Anna Reznichenko, et al.. (2020). Deficiency of T-type voltage-gated calcium channels results in attenuated weight gain and improved endothelium-dependent dilatation of resistance vessels induced by a high-fat diet in mice. Journal of Physiology and Biochemistry. 76(1). 135–145. 8 indexed citations

Reznichenko, Anna, Anna Witasp, Peter J. Greasley, et al.. (2020). Novel insights into the disease transcriptome of human diabetic glomeruli and tubulointerstitium. Nephrology Dialysis Transplantation. 35(12). 2059–2072. 35 indexed citations

Thio, Chris H. L., Anna Reznichenko, Peter J. van der Most, et al.. (2019). Genome-Wide Association Scan of Serum Urea in European Populations Identifies Two Novel Loci. American Journal of Nephrology. 49(3). 193–202. 7 indexed citations

Assadi, Ghazaleh, Eni Andersson, Claudia Fredolini, et al.. (2018). Targeted Analysis of Serum Proteins Encoded at Known Inflammatory Bowel Disease Risk Loci. Inflammatory Bowel Diseases. 25(2). 306–316. 12 indexed citations

10.

Guo, Jing, Henrik Palmgren, Anna Forslöw, et al.. (2018). A CRISP(e)R view on kidney organoids allows generation of an induced pluripotent stem cell–derived kidney model for drug discovery. Kidney International. 94(6). 1099–1110. 55 indexed citations

11.

Eddy, Sean, et al.. (2018). FAR2 is associated with kidney disease in mice and humans. Physiological Genomics. 50(8). 543–552. 9 indexed citations

12.

Muthas, Daniel, Anna Reznichenko, Clare A. Balendran, et al.. (2016). Neutrophils in ulcerative colitis: a review of selected biomarkers and their potential therapeutic implications. Scandinavian Journal of Gastroenterology. 52(2). 125–135. 141 indexed citations

13.

Reznichenko, Anna & Ron Korstanje. (2015). The Role of Platelet-Activating Factor in Mesangial Pathophysiology. American Journal Of Pathology. 185(4). 888–896. 25 indexed citations

14.

Reznichenko, Anna, Harold Snieder, Jacob van den Born, et al.. (2013). SLC22A2is associated with tubular creatinine secretion and bias of estimated GFR in renal transplantation. Physiological Genomics. 45(6). 201–209. 24 indexed citations

15.

Reznichenko, Anna, Harold Snieder, Jacob van den Born, et al.. (2012). CUBN as a Novel Locus for End-Stage Renal Disease: Insights from Renal Transplantation. PLoS ONE. 7(5). e36512–e36512. 27 indexed citations

16.

Reznichenko, Anna, Carsten A. Böger, Harold Snieder, et al.. (2012). UMOD as a susceptibility gene for end-stage renal disease. BMC Medical Genetics. 13(1). 37 indexed citations

17.

Damman, Jeffrey, Harold Snieder, Henri G. D. Leuvenink, et al.. (2011). Lectin complement pathway gene profile of the donor and recipient does not influence graft outcome after kidney transplantation. Molecular Immunology. 50(1-2). 1–8. 30 indexed citations

18.

Reznichenko, Anna, et al.. (2011). Uromodulin in Renal Transplant Recipients: Elevated Urinary Levels and Bimodal Association with Graft Failure. American Journal of Nephrology. 34(5). 445–451. 13 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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