Venkata Sabbisetti

7.3k total citations · 2 hit papers
71 papers, 4.3k citations indexed

About

Venkata Sabbisetti is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Venkata Sabbisetti has authored 71 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Nephrology, 19 papers in Pulmonary and Respiratory Medicine and 18 papers in Molecular Biology. Recurrent topics in Venkata Sabbisetti's work include Chronic Kidney Disease and Diabetes (22 papers), Acute Kidney Injury Research (20 papers) and Renal and related cancers (10 papers). Venkata Sabbisetti is often cited by papers focused on Chronic Kidney Disease and Diabetes (22 papers), Acute Kidney Injury Research (20 papers) and Renal and related cancers (10 papers). Venkata Sabbisetti collaborates with scholars based in United States, China and United Kingdom. Venkata Sabbisetti's co-authors include Joseph V. Bonventre, Sushrut S. Waikar, Takaharu Ichimura, Benjamin D. Humphreys, Ivica Grgic, Vijay K. Kuchroo, Gabriela Campanholle, Changjiang Wang, Vanesa Bijol and Craig R. Brooks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Venkata Sabbisetti

70 papers receiving 4.2k citations

Hit Papers

Blood Kidney Injury Molecule-1 Is a Biomarker of Acute an... 2014 2026 2018 2022 2014 2018 100 200 300
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.

  1. Blood Kidney Injury Molecule-1 Is a Biomarker of Acute and Chronic Kidney Injury and Predicts Progression to ESRD in Type I Diabetes
    2014 327 citations Venkata Sabbisetti, Sushrut S. Waikar et al. Journal of the American Society of Nephrology profile →
  2. Worsening Renal Function in Patients With Acute Heart Failure Undergoing Aggressive Diuresis Is Not Associated With Tubular Injury
    2018 208 citations Venkata Sabbisetti, Joseph V. Bonventre et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Venkata Sabbisetti United States 33 2.1k 1.0k 673 600 463 71 4.3k
Andreas Pasch Switzerland 38 2.2k 1.1× 847 0.8× 818 1.2× 508 0.8× 377 0.8× 134 4.5k
Won Kon Han United States 24 2.3k 1.1× 755 0.7× 798 1.2× 969 1.6× 311 0.7× 34 4.3k
Fan Fan Hou China 30 1.2k 0.6× 1.1k 1.1× 358 0.5× 335 0.6× 329 0.7× 55 3.3k
Richard Lafayette United States 33 2.2k 1.0× 910 0.9× 755 1.1× 454 0.8× 518 1.1× 156 4.5k
Martin H. de Borst Netherlands 39 2.1k 1.0× 833 0.8× 738 1.1× 602 1.0× 506 1.1× 260 4.8k
Àngel Argilés France 32 2.3k 1.1× 936 0.9× 363 0.5× 616 1.0× 381 0.8× 120 4.2k
Arthur C.K. Chung Hong Kong 39 1.7k 0.8× 3.4k 3.3× 622 0.9× 536 0.9× 546 1.2× 58 6.2k
Lining Wang China 24 1.2k 0.6× 605 0.6× 349 0.5× 426 0.7× 565 1.2× 85 3.1k
Timothy A. Sutton United States 27 1.8k 0.9× 1.2k 1.1× 468 0.7× 654 1.1× 247 0.5× 48 3.8k
Carmen Ávila-Casado Mexico 27 2.4k 1.1× 796 0.8× 305 0.5× 734 1.2× 330 0.7× 56 4.0k

Countries citing papers authored by Venkata Sabbisetti

Since Specialization
Citations

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

Fields of papers citing papers by Venkata Sabbisetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venkata Sabbisetti

This figure shows the co-authorship network connecting the top 25 collaborators of Venkata Sabbisetti. A scholar is included among the top collaborators of Venkata Sabbisetti 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 Venkata Sabbisetti. Venkata Sabbisetti 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.
Ajay, Amrendra K., et al.. (2025). Breast cancer gene-1 (BRCA1) potentiates maladaptive repair after kidney injury. The Journal of Experimental Medicine. 222(6). 2 indexed citations
2.
Sarnak, Mark J., Ronit Katz, Joachim H. Ix, et al.. (2022). Plasma Biomarkers as Risk Factors for Incident CKD. Kidney International Reports. 7(7). 1493–1501. 12 indexed citations
3.
Xu, Weidong, Valérie Gaborieau, Samuel M. Niman, et al.. (2022). 1471P Plasma KIM-1 for preoperative identification and risk stratification of renal cell carcinoma. Annals of Oncology. 33. S1219–S1219.
4.
Xu, Wenxin, Mäneka Puligandla, Brian Halbert, et al.. (2021). Plasma KIM-1 Is Associated with Recurrence Risk after Nephrectomy for Localized Renal Cell Carcinoma: A Trial of the ECOG-ACRIN Research Group (E2805). Clinical Cancer Research. 27(12). 3397–3403. 26 indexed citations
5.
Abraham, Alison G., Yunwen Xu, Jennifer Roem, et al.. (2021). Variability in CKD Biomarker Studies: Soluble Urokinase Plasminogen Activator Receptor (suPAR) and Kidney Disease Progression in the Chronic Kidney Disease in Children (CKiD) Study. Kidney Medicine. 3(5). 712–721.e1. 8 indexed citations
6.
Greenberg, Jason H., Alison G. Abraham, Yunwen Xu, et al.. (2021). Urine Biomarkers of Kidney Tubule Health, Injury, and Inflammation are Associated with Progression of CKD in Children. Journal of the American Society of Nephrology. 32(10). 2664–2677. 29 indexed citations
7.
Srivastava, Anand, Insa M. Schmidt, Ragnar Pálsson, et al.. (2021). The Associations of Plasma Biomarkers of Inflammation With Histopathologic Lesions, Kidney Disease Progression, and Mortality—The Boston Kidney Biopsy Cohort Study. Kidney International Reports. 6(3). 685–694. 23 indexed citations
8.
Xin, Cuiyan, Jiahui Lei, Qian Wang, et al.. (2021). Therapeutic silencing of SMOC2 prevents kidney function loss in mouse model of chronic kidney disease. iScience. 24(10). 103193–103193. 11 indexed citations
9.
Greenberg, Jason H., Alison G. Abraham, Yunwen Xu, et al.. (2020). Plasma Biomarkers of Tubular Injury and Inflammation Are Associated with CKD Progression in Children. Journal of the American Society of Nephrology. 31(5). 1067–1077. 48 indexed citations
10.
Li, Ping, Insa M. Schmidt, Venkata Sabbisetti, et al.. (2020). Plasma Endothelin-1 and Risk of Death and Hospitalization in Patients Undergoing Maintenance Hemodialysis. Clinical Journal of the American Society of Nephrology. 15(6). 784–793. 17 indexed citations
11.
Srivastava, Anand, Ragnar Pálsson, David E. Leaf, et al.. (2019). Uric Acid and Acute Kidney Injury in the Critically Ill. Kidney Medicine. 1(1). 21–30. 7 indexed citations
12.
Causland, Finnian R. Mc, Brian Claggett, Venkata Sabbisetti, Petr Jarolı́m, & Sushrut S. Waikar. (2019). Hypertonic Mannitol for the Prevention of Intradialytic Hypotension: A Randomized Controlled Trial. American Journal of Kidney Diseases. 74(4). 483–490. 9 indexed citations
13.
Srivastava, Anand, Ragnar Pálsson, Arnaud D. Kazé, et al.. (2018). The Prognostic Value of Histopathologic Lesions in Native Kidney Biopsy Specimens: Results from the Boston Kidney Biopsy Cohort Study. Journal of the American Society of Nephrology. 29(8). 2213–2224. 122 indexed citations
14.
Wilson, Jennifer L., Eirini Kefaloyianni, Lauren Stopfer, et al.. (2017). Functional Genomics Approach Identifies Novel Signaling Regulators of TGFα Ectodomain Shedding. Molecular Cancer Research. 16(1). 147–161. 2 indexed citations
15.
Opotowsky, Alexander R., et al.. (2016). Estimated glomerular filtration rate and urine biomarkers in patients with single-ventricle Fontan circulation. Heart. 103(6). 434–442. 46 indexed citations
16.
Kulkarni, Ashish, et al.. (2016). Sustained inhibition of cMET-VEGFR2 signaling using liposome-mediated delivery increases efficacy and reduces toxicity in kidney cancer. Nanomedicine Nanotechnology Biology and Medicine. 12(7). 1853–1861. 30 indexed citations
17.
Leaf, David E., Marta Christov, Harald Jüppner, et al.. (2016). Fibroblast growth factor 23 levels are elevated and associated with severe acute kidney injury and death following cardiac surgery. Kidney International. 89(4). 939–948. 71 indexed citations
18.
Sabbisetti, Venkata, et al.. (2012). Novel Assays for Detection of Urinary KIM-1 in Mouse Models of Kidney Injury. Toxicological Sciences. 131(1). 13–25. 63 indexed citations
19.
Peralta, Carmen A., Ronit Katz, Joseph V. Bonventre, et al.. (2012). Associations of Urinary Levels of Kidney Injury Molecule 1 (KIM-1) and Neutrophil Gelatinase-Associated Lipocalin (NGAL) With Kidney Function Decline in the Multi-Ethnic Study of Atherosclerosis (MESA). American Journal of Kidney Diseases. 60(6). 904–911. 93 indexed citations
20.
Waikar, Sushrut S., Venkata Sabbisetti, & Joseph V. Bonventre. (2010). Normalization of urinary biomarkers to creatinine during changes in glomerular filtration rate. Kidney International. 78(5). 486–494. 353 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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