Steven J. Chadban

22.5k total citations · 5 hit papers
283 papers, 12.8k citations indexed

About

Steven J. Chadban is a scholar working on Transplantation, Nephrology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Steven J. Chadban has authored 283 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Transplantation, 108 papers in Nephrology and 73 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Steven J. Chadban's work include Renal Transplantation Outcomes and Treatments (114 papers), Organ Transplantation Techniques and Outcomes (54 papers) and Chronic Kidney Disease and Diabetes (52 papers). Steven J. Chadban is often cited by papers focused on Renal Transplantation Outcomes and Treatments (114 papers), Organ Transplantation Techniques and Outcomes (54 papers) and Chronic Kidney Disease and Diabetes (52 papers). Steven J. Chadban collaborates with scholars based in Australia, United Kingdom and United States. Steven J. Chadban's co-authors include Robert C. Atkins, Jonathan C. Craig, Huiling Wu, Stephen P. McDonald, S. L. White, Kate Wyburn, Esther M. Briganti, Alan Cass, Kevan R. Polkinghorne and Philip A. Clayton and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Steven J. Chadban

272 papers receiving 12.5k citations

Hit Papers

TLR4 activation mediates ... 2003 2026 2010 2018 2007 2003 2007 2020 2020 200 400 600
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. TLR4 activation mediates kidney ischemia/reperfusion injury
    2007 694 citations Huiling Wu, Kate Wyburn et al. profile →
  2. Prevalence of Kidney Damage in Australian Adults
    2003 519 citations Steven J. Chadban, Robert C. Atkins et al. Journal of the American Society of Nephrology profile →
  3. Results of an International, Randomized Trial Comparing Glucose Metabolism Disorders and Outcome with Cyclosporine Versus Tacrolimus
    2007 468 citations Lionel Rostaing, Steven J. Chadban et al. American Journal of Transplantation profile →
  4. KDIGO Clinical Practice Guideline on the Evaluation and Management of Candidates for Kidney Transplantation
    2020 343 citations Steven J. Chadban, Helen Pilmore et al. Transplantation profile →
  5. Dietary Fiber Protects against Diabetic Nephropathy through Short-Chain Fatty Acid–Mediated Activation of G Protein–Coupled Receptors GPR43 and GPR109A
    2020 265 citations Yan Jun Li, Xiaochen Chen et al. Journal of the American Society of Nephrology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven J. Chadban Australia 62 4.5k 3.6k 2.7k 2.1k 1.8k 283 12.8k
Julio Pascual Spain 52 2.6k 0.6× 3.6k 1.0× 2.8k 1.0× 1.4k 0.7× 922 0.5× 319 9.3k
Norberto Perico Italy 65 3.6k 0.8× 3.2k 0.9× 3.7k 1.4× 1.0k 0.5× 1.7k 1.0× 292 14.2k
Rainer Oberbauer Austria 50 2.8k 0.6× 4.0k 1.1× 3.2k 1.2× 1.5k 0.7× 654 0.4× 297 10.3k
Chul Woo Yang South Korea 47 3.0k 0.7× 1.9k 0.5× 2.2k 0.8× 777 0.4× 1.1k 0.6× 526 9.8k
Yves Vanrenterghem Belgium 62 3.8k 0.8× 5.5k 1.5× 3.2k 1.2× 1.4k 0.7× 832 0.5× 267 12.7k
Klemens Budde Germany 66 2.6k 0.6× 8.7k 2.4× 4.6k 1.7× 2.6k 1.2× 1.9k 1.1× 610 17.7k
Dirk Kuypers Belgium 69 3.5k 0.8× 8.8k 2.4× 4.1k 1.5× 1.6k 0.8× 814 0.5× 352 16.0k
David A. Roth United States 47 6.6k 1.5× 1.7k 0.5× 3.0k 1.1× 1.1k 0.5× 2.4k 1.3× 212 20.6k
Bradley A. Warady United States 62 10.0k 2.2× 1.6k 0.4× 2.8k 1.0× 1.5k 0.7× 553 0.3× 519 17.9k
Matthew R. Weir United States 65 3.0k 0.7× 3.7k 1.0× 4.1k 1.5× 1.7k 0.8× 437 0.2× 362 15.4k

Countries citing papers authored by Steven J. Chadban

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Chadban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Chadban. 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 Steven J. Chadban. The network helps show where Steven J. Chadban may publish in the future.

Co-authorship network of co-authors of Steven J. Chadban

This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Chadban. A scholar is included among the top collaborators of Steven J. Chadban 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 Steven J. Chadban. Steven J. Chadban 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.
2.
Singer, Julian, Griffith B. Perkins, Tania Salehi, et al.. (2024). Dietary Inulin to Improve SARS-CoV-2 Vaccine Response in Kidney Transplant Recipients: The RIVASTIM-Inulin Randomised Controlled Trial. Vaccines. 12(6). 608–608. 4 indexed citations
3.
Esposito, Ciro, Steven J. Chadban, Janani Rangaswami, et al.. (2023). #3990 PACE-CKD: HEALTH-RELATED QUALITY OF LIFE OF PATIENTS WITH CKD AND CAREGIVERS: RESULTS FROM A US SURVEY. Nephrology Dialysis Transplantation. 38(Supplement_1). 4 indexed citations
4.
Hal, Sebastiaan J. van, Steven J. Chadban, Paul J. Torzillo, et al.. (2023). Protracted COVID‐19 pneumonitis early post‐ABO incompatible kidney transplantation: Management considerations and the role of whole genome sequencing. Nephrology. 28(11). 639–643.
5.
Ying, Tracey, et al.. (2023). Obesity is Associated With Delayed Graft Function in Kidney Transplant Recipients: A Paired Kidney Analysis. Transplant International. 36. 11107–11107. 9 indexed citations
6.
Gill, John S. & Steven J. Chadban. (2023). Pretransplant screening for coronary artery disease: data are required before practice change. Kidney International. 105(3). 470–472. 1 indexed citations
7.
Ying, Tracey, et al.. (2023). Survival after kidney transplantation compared with ongoing dialysis for people over 70 years of age: A matched-pair analysis. American Journal of Transplantation. 23(10). 1551–1560. 24 indexed citations
8.
9.
Collins, Michael G., Magid Fahim, Elaine M. Pascoe, et al.. (2022). Baseline Characteristics and Representativeness of the BEST-Fluids Trial Participants: A Randomized Trial of Balanced Crystalloid Solution vs. Saline in Deceased Donor Kidney Transplantation. Journal of the American Society of Nephrology. 33(11S). 971–971. 1 indexed citations
10.
Li, Yan Jun, Xiaochen Chen, Tony Kwan, et al.. (2020). Dietary Fiber Protects against Diabetic Nephropathy through Short-Chain Fatty Acid–Mediated Activation of G Protein–Coupled Receptors GPR43 and GPR109A. Journal of the American Society of Nephrology. 31(6). 1267–1281. 265 indexed citations breakdown →
11.
Wu, Huiling, Julian Singer, Tony Kwan, et al.. (2020). Gut Microbial Metabolites Induce Donor-Specific Tolerance of Kidney Allografts through Induction of T Regulatory Cells by Short-Chain Fatty Acids. Journal of the American Society of Nephrology. 31(7). 1445–1461. 61 indexed citations
12.
Chen, Xiaochen, Jin Ma, Tony Kwan, et al.. (2018). Blockade of HMGB1 Attenuates Diabetic Nephropathy in Mice. Scientific Reports. 8(1). 8319–8319. 52 indexed citations
13.
Ying, Tracey, Germaine Wong, Wai H. Lim, et al.. (2018). De novo or early conversion to everolimus and long-term cancer outcomes in kidney transplant recipients: A trial-based linkage study. American Journal of Transplantation. 18(12). 2977–2986. 13 indexed citations
14.
Ralph, Angelique F., Ali Alyami, Richard D. Allen, et al.. (2016). Attitudes and beliefs about deceased organ donation in the Arabic-speaking community in Australia: a focus group study. BMJ Open. 6(1). e010138–e010138. 33 indexed citations
15.
16.
Glotz, Denis, Graeme Russ, Lionel Rostaing, et al.. (2015). Eculizumab In Prevention Of Acute Antibody-Mediated Rejection In Sensitized Deceased-Donor Kidney Transplant Recipients : 1-Year Outcomes. Transplant International. 28. 119–119. 3 indexed citations
17.
Clayton, Philip A., Stephen P. McDonald, Jeremy R. Chapman, & Steven J. Chadban. (2012). Mycophenolate Versus Azathioprine for Kidney Transplantation. Transplantation. 94(2). 152–158. 39 indexed citations
18.
Howard, Kirsten, Stephen Jan, John M. Rose, et al.. (2011). Community Preferences for the Allocation & Donation of Organs - The PAraDOx Study. BMC Public Health. 11(1). 386–386. 13 indexed citations
19.
Clayton, Philip A., Stephen P. McDonald, & Steven J. Chadban. (2011). Steroids and Recurrent IgA Nephropathy After Kidney Transplantation. American Journal of Transplantation. 11(8). 1645–1649. 81 indexed citations
20.
Jose, Matthew, John R. David, Robert C. Atkins, & Steven J. Chadban. (2003). Blockade of Macrophage Migration Inhibitory Factor Does Not Prevent Acute Renal Allograft Rejection. American Journal of Transplantation. 3(9). 1099–1106. 19 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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