Daniel Carl

1.0k total citations
25 papers, 743 citations indexed

About

Daniel Carl is a scholar working on Nephrology, Hepatology and Molecular Biology. According to data from OpenAlex, Daniel Carl has authored 25 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nephrology, 7 papers in Hepatology and 5 papers in Molecular Biology. Recurrent topics in Daniel Carl's work include Liver Disease and Transplantation (7 papers), Liver Disease Diagnosis and Treatment (4 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). Daniel Carl is often cited by papers focused on Liver Disease and Transplantation (7 papers), Liver Disease Diagnosis and Treatment (4 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). Daniel Carl collaborates with scholars based in United States and Egypt. Daniel Carl's co-authors include Todd W.B. Gehr, Arun J. Sanyal, Siddhartha S. Ghosh, Shobha Ghosh, Alice Bexon, Guadalupe García–Tsao, Andrés T. Blei, Richard J. Krieg, H. Davis Massey and Thomas Boyer and has published in prestigious journals such as Gastroenterology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Daniel Carl

25 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Carl United States 13 270 261 209 187 184 25 743
Manuel Tufoni Italy 12 174 0.6× 198 0.8× 80 0.4× 42 0.2× 109 0.6× 26 554
Lucia Napoli Italy 9 232 0.9× 528 2.0× 112 0.5× 33 0.2× 130 0.7× 18 796
Ilana Goldiner Israel 17 195 0.7× 537 2.1× 191 0.9× 44 0.2× 209 1.1× 64 1.0k
Maria Carme Vila Spain 15 471 1.7× 453 1.7× 74 0.4× 37 0.2× 288 1.6× 25 746
F. Agostini Italy 16 112 0.4× 413 1.6× 102 0.5× 27 0.1× 205 1.1× 28 947
Kazuya Nakanishi Japan 14 134 0.5× 241 0.9× 115 0.6× 110 0.6× 212 1.2× 32 735
Giacomo Zaccherini Italy 15 435 1.6× 420 1.6× 68 0.3× 42 0.2× 163 0.9× 42 746
Alicja E. Grzegorzewska Poland 15 158 0.6× 215 0.8× 83 0.4× 331 1.8× 151 0.8× 137 837
I‐Jung Tsai Taiwan 20 53 0.2× 199 0.8× 176 0.8× 251 1.3× 183 1.0× 78 1.3k
Behzad Hatami Iran 16 201 0.7× 426 1.6× 172 0.8× 22 0.1× 118 0.6× 79 916

Countries citing papers authored by Daniel Carl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Carl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Carl

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Carl. A scholar is included among the top collaborators of Daniel Carl 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 Daniel Carl. Daniel Carl 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.
Carbone, Salvatore, Jing Wang, Dave L. Dixon, et al.. (2019). Impaired Delivery of Cholesterol Effluxed From Macrophages to Hepatocytes by Serum From CKD Patients May Underlie Increased Cardiovascular Disease Risk. Kidney International Reports. 5(2). 199–210. 8 indexed citations
2.
Krieg, Richard J., H. Davis Massey, Daniel Carl, et al.. (2018). Sodium butyrate ameliorates insulin resistance and renal failure in CKD rats by modulating intestinal permeability and mucin expression. Nephrology Dialysis Transplantation. 34(5). 783–794. 151 indexed citations
3.
Patidar, Kavish R., Le Kang, Jasmohan S. Bajaj, Daniel Carl, & Arun J. Sanyal. (2018). Fractional excretion of urea. Hepatology. 68(1). 224–233. 40 indexed citations
4.
Dixon, Dave L., Evan M. Sisson, Benjamín Van Tassell, et al.. (2017). Pharmacist‐physician collaborative care model and time to goal blood pressure in the uninsured population. Journal of Clinical Hypertension. 20(1). 88–95. 25 indexed citations
5.
Dixon, Dave L., Evan M. Sisson, Benjamín Van Tassell, et al.. (2017). COMPARISON OF A PHARMACIST-PHYSICIAN COLLABORATIVE CARE MODEL TO STANDARD CARE ON THE TIME TO REACH GOAL BLOOD PRESSURE FOR PATIENTS PRESENTING WITH URGENT HYPERTENSION. Journal of the American College of Cardiology. 69(11). 1837–1837. 1 indexed citations
6.
Patidar, Kavish R., Le Kang, Mohammad Shadab Siddiqui, et al.. (2017). The Utility of Fractional Excretion of Urea for the Differential Diagnosis of Acute Kidney Injury in Decompensated Cirrhotics on Diuretic Therapy. Gastroenterology. 152(5). S1149–S1149. 2 indexed citations
7.
Contaifer, Daniel, Daniel Carl, Urszula Osinska Warncke, et al.. (2016). Unsupervised analysis of combined lipid and coagulation data reveals coagulopathy subtypes among dialysis patients. Journal of Lipid Research. 58(3). 586–599. 9 indexed citations
8.
Kang, Dae Joong, Naga S. Betrapally, Siddhartha Ghosh, et al.. (2016). Gut microbiota drive the development of neuroinflammatory response in cirrhosis in mice. Hepatology. 64(4). 1232–1248. 87 indexed citations
9.
Kidd, Jason M. & Daniel Carl. (2016). Renal amyloidosis. Current Problems in Cancer. 40(5-6). 209–219. 11 indexed citations
10.
11.
Carl, Daniel, Siddhartha S. Ghosh, Todd W.B. Gehr, et al.. (2015). A model of acute kidney injury in mice with cirrhosis and infection. Liver International. 36(6). 865–873. 16 indexed citations
12.
Martin, Erika J., et al.. (2014). Differences in coagulation in clotting of vascular access in hemodialysis patients. Hemodialysis International. 19(2). 323–329. 1 indexed citations
13.
Brophy, Donald F., Daniel Carl, Bassem M. Mohammed, et al.. (2013). Differences in Coagulation between Hemodialysis and Peritoneal Dialysis. Peritoneal Dialysis International. 34(1). 33–40. 16 indexed citations
14.
Stravitz, R. Todd, Daniel Carl, & Diane M. Biskobing. (2011). Medical Management of the Liver Transplant Recipient. Clinics in Liver Disease. 15(4). 821–843. 6 indexed citations
15.
Boyer, Thomas, Arun J. Sanyal, Guadalupe García–Tsao, et al.. (2010). Predictors of response to terlipressin plus albumin in hepatorenal syndrome (HRS) type 1: Relationship of serum creatinine to hemodynamics. Journal of Hepatology. 55(2). 315–321. 166 indexed citations
16.
Carl, Daniel, et al.. (2010). Effect of timing of dialysis on mortality in critically ill, septic patients with acute renal failure. Hemodialysis International. 14(1). 11–17. 59 indexed citations
17.
Carl, Daniel, Gary R. Matzke, Todd W.B. Gehr, et al.. (2008). An In Vivo‐In Vitro Study of Cefepime and Cefazolin Dialytic Clearance During High‐Flux Hemodialysis. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 28(8). 977–983. 14 indexed citations
18.
Carl, Daniel & George M. Feldman. (2008). Estimating Dialysis Adequacy Using Ionic Dialysance. Renal Failure. 30(5). 491–498. 4 indexed citations
19.
Carl, Daniel & Domenic A. Sica. (2007). Acute Phosphate Nephropathy Following Colonoscopy Preparation. The American Journal of the Medical Sciences. 334(3). 151–154. 15 indexed citations
20.
Carl, Daniel. (1980). Tuning patients in to health education.. PubMed. 57(5). 38–40. 1 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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Rankless by CCL
2026