Inga Arūnė Bumblytė

1.4k total citations
57 papers, 314 citations indexed

About

Inga Arūnė Bumblytė is a scholar working on Nephrology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Inga Arūnė Bumblytė has authored 57 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nephrology, 12 papers in Physiology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Inga Arūnė Bumblytė's work include Dialysis and Renal Disease Management (12 papers), Renal Transplantation Outcomes and Treatments (8 papers) and Biofield Effects and Biophysics (6 papers). Inga Arūnė Bumblytė is often cited by papers focused on Dialysis and Renal Disease Management (12 papers), Renal Transplantation Outcomes and Treatments (8 papers) and Biofield Effects and Biophysics (6 papers). Inga Arūnė Bumblytė collaborates with scholars based in Lithuania, Ukraine and Latvia. Inga Arūnė Bumblytė's co-authors include Edita Žiginskienė, Asta Stankuvienė, Kristina Petrulienė, Alfonsas Vainoras, Arvydas Laurinavičius, Irena Nedzelskienė, Edgaras Stankevıčıus, Mindaugas Jievaltas, Rimantė Čerkauskienė and Augustina Jankauskienė and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Nephrology Dialysis Transplantation.

In The Last Decade

Inga Arūnė Bumblytė

48 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inga Arūnė Bumblytė Lithuania 11 157 44 44 31 30 57 314
Yemi Raheem Raji Nigeria 11 102 0.6× 66 1.5× 28 0.6× 31 1.0× 22 0.7× 28 351
Choong Meng Chan Singapore 9 160 1.0× 18 0.4× 43 1.0× 23 0.7× 21 0.7× 24 260
Constança Margarida Sampaio Cruz Brazil 11 130 0.8× 78 1.8× 86 2.0× 41 1.3× 42 1.4× 32 326
Yena Jeon South Korea 11 176 1.1× 17 0.4× 37 0.8× 49 1.6× 87 2.9× 41 383
Corina Nailescu United States 8 113 0.7× 15 0.3× 75 1.7× 47 1.5× 52 1.7× 22 321
Murilo Guedes Brazil 13 195 1.2× 18 0.4× 31 0.7× 37 1.2× 70 2.3× 49 423
N. Ouzeddoun Morocco 10 76 0.5× 18 0.4× 65 1.5× 30 1.0× 28 0.9× 71 272
I. Haddiya Morocco 9 82 0.5× 12 0.3× 41 0.9× 28 0.9× 37 1.2× 69 246
Andrew D. DePiero United States 11 48 0.3× 84 1.9× 115 2.6× 34 1.1× 89 3.0× 30 553
Kay Tyerman United Kingdom 10 116 0.7× 19 0.4× 29 0.7× 80 2.6× 49 1.6× 20 260

Countries citing papers authored by Inga Arūnė Bumblytė

Since Specialization
Citations

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

Fields of papers citing papers by Inga Arūnė Bumblytė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inga Arūnė Bumblytė. 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 Inga Arūnė Bumblytė. The network helps show where Inga Arūnė Bumblytė may publish in the future.

Co-authorship network of co-authors of Inga Arūnė Bumblytė

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

All Works

20 of 20 papers shown
1.
Bumblytė, Inga Arūnė, et al.. (2025). Potential MRI Biomarkers for Predicting Kidney Function and Histological Damage in Transplanted Deceased Donor Kidney Recipients. Journal of Clinical Medicine. 14(4). 1349–1349. 1 indexed citations
2.
Bumblytė, Inga Arūnė, et al.. (2025). Schumann Resonances and the Human Body: Questions About Interactions, Problems and Prospects. Applied Sciences. 15(1). 449–449. 3 indexed citations
3.
Bumblytė, Inga Arūnė, et al.. (2025). Vega test method and diagnosis of non-communicable Diseases: problems, biophysical diagnostic mechanisms and prospects. Lithuanian University of Health Sciences. 8(1). 12–28.
4.
Bumblytė, Inga Arūnė, et al.. (2025). Mitochondrial Dysfunction and Atherosclerosis: The Problem and the Search for Its Solution. Biomedicines. 13(4). 963–963. 1 indexed citations
5.
Tretjakovs, Pēteris, et al.. (2024). The Influence of Tacrolimus Exposure and Metabolism on the Outcomes of Kidney Transplants. Biomedicines. 12(5). 1125–1125. 3 indexed citations
6.
Tretjakovs, Pēteris, et al.. (2024). Deceased Kidney Donor Biomarkers: Relationship between Delayed Kidney Function and Graft Function Three Years after Transplantation. Diagnostics. 14(7). 717–717. 2 indexed citations
7.
Stankuvienė, Asta, et al.. (2024). Interconnections between local Schumann resonances and episodes of kidney disease. Lithuanian University of Health Sciences. 7(1). 1–18. 2 indexed citations
8.
9.
Heaf, James, Maija Heiro, Johan Vestergaard Povlsen, et al.. (2020). Suboptimal dialysis initiation is associated with comorbidities and uraemia progression rate but not with estimated glomerular filtration rate. Clinical Kidney Journal. 14(3). 933–942. 10 indexed citations
10.
Žiginskienė, Edita, et al.. (2018). Associations of vascular calcification, calcium phosphate disturbances, FGF 23 and Matrix Gla protein with mortality of hemodialysis patients: one center cohort study. Revista română de medicină de laborator. 26(4). 451–460. 2 indexed citations
11.
Heaf, James, Maija Heiro, Johan V. Povlsen, et al.. (2018). FP131CAUSES OF UNPLANNED DIALYSIS INITIATION: RESULTS OF THE NORDIC PERIDIALYSIS STUDY. Nephrology Dialysis Transplantation. 33(suppl_1). i21–i21.
12.
Petrulienė, Kristina, et al.. (2017). Hepcidin serum levels and resistance to recombinant human erythropoietin therapy in hemodialysis patients. Medicina. 53(2). 90–100. 21 indexed citations
13.
Miglinas, Marius, et al.. (2015). Nationwide renal biopsy data in Lithuania 1994–2012. International Urology and Nephrology. 47(4). 655–662. 24 indexed citations
14.
Bumblytė, Inga Arūnė, et al.. (2007). [Evaluation of bone mineral density and its importance for hemodialysis patients].. PubMed. 43 Suppl 1. 90–5. 2 indexed citations
15.
Bumblytė, Inga Arūnė, et al.. (2007). Pacientų, kuriems persodintas inkstas, depresijos sunkumas ir gyvenimo kokybė. 43. 103–108.
16.
Bumblytė, Inga Arūnė, et al.. (2007). [The level of endotoxins in hemodialysis water and dialysate].. PubMed. 43 Suppl 1. 81–4. 3 indexed citations
17.
Bumblytė, Inga Arūnė, et al.. (2005). Dialize gydomų pacientų miego sutrikimai ir gyvenimo kokybė. Medicina-buenos Aires. 41. 69–74. 1 indexed citations
18.
Bumblytė, Inga Arūnė, et al.. (2005). [The beginning of kidney transplantation in Kaunas (results of Kaunas University of Medicine Hospital 2000-2004)].. PubMed. 41 Suppl 1. 87–92. 3 indexed citations
19.
Bumblytė, Inga Arūnė, et al.. (2003). [Dynamics of diabetic nephropathy and other complications of type I diabetes mellitus in the period of 1996-2002 (data from 2 Kaunas outpatient polyclinics)].. PubMed. 39 Suppl 1. 51–8. 1 indexed citations
20.
Bumblytė, Inga Arūnė, et al.. (2003). [Clinical and laboratory features and prognostic implications in myeloma with and without renal impairment].. PubMed. 39 Suppl 1. 41–7. 4 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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