Christopher Haffner

404 total citations
9 papers, 313 citations indexed

About

Christopher Haffner is a scholar working on Nephrology, Epidemiology and Molecular Biology. According to data from OpenAlex, Christopher Haffner has authored 9 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 3 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Christopher Haffner's work include Acute Kidney Injury Research (5 papers), Chronic Kidney Disease and Diabetes (5 papers) and Sepsis Diagnosis and Treatment (2 papers). Christopher Haffner is often cited by papers focused on Acute Kidney Injury Research (5 papers), Chronic Kidney Disease and Diabetes (5 papers) and Sepsis Diagnosis and Treatment (2 papers). Christopher Haffner collaborates with scholars based in United States, Qatar and United Kingdom. Christopher Haffner's co-authors include Michael Bennett, Prasad Devarajan, Qing Ma, Edward Nehus, Catherine D. Krawczeski, Meredith P. Schuh, Jun Ying, William DeFoor, Nicholas G. Cost and Eugene Minevich and has published in prestigious journals such as The Journal of Urology, American Journal of Kidney Diseases and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Christopher Haffner

9 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Haffner United States 8 200 64 48 45 38 9 313
Abbas Madani Iran 12 132 0.7× 128 2.0× 61 1.3× 66 1.5× 28 0.7× 34 310
Aysel Kıyak Türkiye 9 136 0.7× 103 1.6× 94 2.0× 76 1.7× 43 1.1× 21 299
Brankica Spasojević Serbia 11 103 0.5× 60 0.9× 23 0.5× 87 1.9× 27 0.7× 22 261
Carmelo Fede Italy 8 56 0.3× 119 1.9× 31 0.6× 44 1.0× 38 1.0× 12 248
Bilal Aoun France 9 158 0.8× 27 0.4× 22 0.5× 63 1.4× 42 1.1× 29 278
Gianmarco Lombardi Italy 9 86 0.4× 58 0.9× 36 0.8× 145 3.2× 31 0.8× 39 279
Surafel Gebreselassie United States 9 114 0.6× 97 1.5× 26 0.5× 187 4.2× 22 0.6× 24 351
Milena Brugnara Italy 12 60 0.3× 255 4.0× 128 2.7× 118 2.6× 34 0.9× 34 448
J E Lewy United States 10 183 0.9× 59 0.9× 16 0.3× 126 2.8× 49 1.3× 17 418
Pradeep Vaitla United States 10 119 0.6× 30 0.5× 29 0.6× 61 1.4× 51 1.3× 35 295

Countries citing papers authored by Christopher Haffner

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Haffner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Haffner

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

All Works

9 of 9 papers shown
1.
Bennett, Michael, Christopher Haffner, Qing Ma, et al.. (2017). A Novel Biomarker Panel to Identify Steroid Resistance in Childhood Idiopathic Nephrotic Syndrome. Biomarker Insights. 12. 2138186223–2138186223. 29 indexed citations
2.
Downes, Kevin J., Min Dong, Tsuyoshi Fukuda, et al.. (2016). Urinary kidney injury biomarkers and tobramycin clearance among children and young adults with cystic fibrosis: a population pharmacokinetic analysis. Journal of Antimicrobial Chemotherapy. 72(1). 254–260. 14 indexed citations
3.
Kaddourah, Ahmad, Stuart L. Goldstein, Rajit K. Basu, et al.. (2016). Novel urinary tubular injury markers reveal an evidence of underlying kidney injury in children with reduced left ventricular systolic function: a pilot study. Pediatric Nephrology. 31(10). 1637–1645. 12 indexed citations
4.
Gulati, Gaurav, Martin R. Bennett, Khalid Abulaban, et al.. (2016). Prospective validation of a novel renal activity index of lupus nephritis. Lupus. 26(9). 927–936. 25 indexed citations
5.
Bennett, Michael, et al.. (2016). Urinary Vitamin D-Binding Protein as a Biomarker of Steroid-Resistant Nephrotic Syndrome. Biomarker Insights. 11. BMI.S31633–BMI.S31633. 34 indexed citations
6.
Schuh, Meredith P., Edward Nehus, Qing Ma, et al.. (2015). Long-term Stability of Urinary Biomarkers of Acute Kidney Injury in Children. American Journal of Kidney Diseases. 67(1). 56–61. 60 indexed citations
7.
Bennett, Michael, Edward Nehus, Christopher Haffner, Qing Ma, & Prasad Devarajan. (2014). Pediatric reference ranges for acute kidney injury biomarkers. Pediatric Nephrology. 30(4). 677–685. 93 indexed citations
8.
Cost, Nicholas G., Paul H. Noh, Prasad Devarajan, et al.. (2013). Urinary NGAL Levels Correlate with Differential Renal Function in Patients with Ureteropelvic Junction Obstruction Undergoing Pyeloplasty. The Journal of Urology. 190(4S). 1462–1467. 39 indexed citations
9.
Haffner, Christopher, M. J. Kendall, Allan D. Struthers, A. Bridges, & DJ Stott. (1995). Effects of captopril and enalapril on renal function in elderly patients with chronic heart failure. Postgraduate Medical Journal. 71(835). 287–292. 7 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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2026