Richard T. Stravitz

4.6k total citations · 1 hit paper
36 papers, 2.8k citations indexed

About

Richard T. Stravitz is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Richard T. Stravitz has authored 36 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hepatology, 22 papers in Epidemiology and 12 papers in Surgery. Recurrent topics in Richard T. Stravitz's work include Liver Disease and Transplantation (23 papers), Liver Disease Diagnosis and Treatment (21 papers) and Organ Transplantation Techniques and Outcomes (9 papers). Richard T. Stravitz is often cited by papers focused on Liver Disease and Transplantation (23 papers), Liver Disease Diagnosis and Treatment (21 papers) and Organ Transplantation Techniques and Outcomes (9 papers). Richard T. Stravitz collaborates with scholars based in United States, China and Netherlands. Richard T. Stravitz's co-authors include Velimir A. Luketic, Richard K. Sterling, Arun J. Sanyal, Robert A. Fisher, Melissa J. Contos, Carol Sargeant, Mitchell L. Shiffman, Douglas M. Heuman, Prem Puri and Mohammad Shadab Siddiqui and has published in prestigious journals such as Gastroenterology, Hepatology and The American Journal of Medicine.

In The Last Decade

Richard T. Stravitz

35 papers receiving 2.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Clinical and Histologic Spectrum of Nonalcoholic Fatty Liver Disease Associated With Normal Alt Values

2003 909 citations Melissa J. Contos, Carol Sargeant et al. Hepatology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard T. Stravitz United States	21	2.2k	1.6k	772	717	311	36	2.8k
Marcelo Kugelmas United States	18	1.8k 0.8×	1.5k 1.0×	441 0.6×	587 0.8×	343 1.1×	47	2.6k
Fatema Nader United States	29	3.4k 1.5×	2.2k 1.4×	1.3k 1.6×	456 0.6×	383 1.2×	76	3.9k
Marika Holmqvist Sweden	12	2.2k 1.0×	879 0.6×	1.0k 1.4×	304 0.4×	472 1.5×	19	2.4k
Matilde Marcellini Italy	27	2.3k 1.0×	1.2k 0.7×	1.0k 1.3×	622 0.9×	130 0.4×	62	3.1k
Darren Jun Hao Tan Singapore	27	1.6k 0.7×	954 0.6×	550 0.7×	399 0.6×	313 1.0×	99	2.4k
Jong In Yang South Korea	20	1.5k 0.7×	590 0.4×	627 0.8×	431 0.6×	297 1.0×	55	2.2k
Natsu Fukui United States	8	1.6k 0.7×	529 0.3×	843 1.1×	295 0.4×	267 0.9×	19	1.9k
Munkhzul Otgonsuren United States	16	1.5k 0.7×	966 0.6×	549 0.7×	216 0.3×	278 0.9×	39	1.9k
Anna Castiglione Italy	13	2.2k 1.0×	857 0.5×	1.2k 1.5×	275 0.4×	476 1.5×	27	2.9k
Björn Roelstraete Sweden	23	1.5k 0.7×	502 0.3×	430 0.6×	524 0.7×	312 1.0×	92	2.1k

Countries citing papers authored by Richard T. Stravitz

Since Specialization

Citations

This map shows the geographic impact of Richard T. Stravitz'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 Richard T. Stravitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard T. Stravitz more than expected).

Fields of papers citing papers by Richard T. Stravitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard T. Stravitz. 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 Richard T. Stravitz. The network helps show where Richard T. Stravitz may publish in the future.

Co-authorship network of co-authors of Richard T. Stravitz

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

All Works

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20 of 20 papers shown

Rule, Jody A., Richard T. Stravitz, Brendan M. McGuire, et al.. (2022). Role of Hepatitis C Infection in Acute Liver Injury/Acute Liver Failure in North America. Digestive Diseases and Sciences. 68(1). 304–311. 6 indexed citations

Driever, Ellen M., Richard T. Stravitz, Jingwen Zhang, et al.. (2020). The VWF/ADAMTS13 unbalance, but not global coagulation or fibrinolytic status, is associated with outcome and bleeding in patients with acute liver failure. Journal of Hepatology. 73. S24–S25. 3 indexed citations

Bajaj, Jasmohan S., Nita H. Salzman, Chathur Acharya, et al.. (2019). PS-087-Fecal microbiota capsules are safe and effective in patients with recurrent hepatic encephalopathy: A randomized, blinded, placebo-controlled trial. Journal of Hepatology. 70(1). e55–e55. 1 indexed citations

Acharya, Chathur, Leroy R. Thacker, Andrew Fagan, et al.. (2018). 422 - Beta Blockers Use in Cirrhosis is Independently Associated with Minimal Hepatic Encephalopathy. Gastroenterology. 154(6). S–1089. 1 indexed citations

Patidar, Kavish R., Leroy R. Thacker, James B. Wade, et al.. (2017). Symptom Domain Groups of the Patient-Reported Outcomes Measurement Information System Tools Independently Predict Hospitalizations and Re-hospitalizations in Cirrhosis. Digestive Diseases and Sciences. 62(5). 1173–1179. 14 indexed citations

Hugenholtz, Greg C.G., Ton Lisman, & Richard T. Stravitz. (2017). Thromboelastography does not predict outcome in different etiologies of cirrhosis. Research and Practice in Thrombosis and Haemostasis. 1(2). 275–285. 32 indexed citations

Ahluwalia, Vishwadeep, James B. Wade, Melanie B. White, et al.. (2017). Brain Integrity Changes Underlying Cognitive and Functional Recovery Postliver Transplant Continue to Evolve Over 1 Year. Transplantation. 102(3). 461–470. 8 indexed citations

Davis, Brian, Holly Tillman, Raymond T. Chung, et al.. (2017). Heat stroke leading to acute liver injury & failure: A case series from the Acute Liver Failure Study Group. Liver International. 37(4). 509–513. 60 indexed citations

Bhati, Chandra, Michael O. Idowu, Arun J. Sanyal, et al.. (2017). Long-term Outcomes in Patients Undergoing Liver Transplantation for Nonalcoholic Steatohepatitis-Related Cirrhosis. Transplantation. 101(8). 1867–1874. 99 indexed citations

10.

Verna, Elizabeth C., Varun Saxena, James R. Burton, et al.. (2015). Telaprevir- and Boceprevir-based Triple Therapy for Hepatitis C in Liver Transplant Recipients With Advanced Recurrent Disease. Transplantation. 99(8). 1644–1651. 12 indexed citations

11.

Siddiqui, Mohammad Shadab, Velimir A. Luketic, Sherry Boyett, et al.. (2015). Nonalcoholic Steatohepatitis (NASH) Is Associated with a Decline in Pancreatic Beta Cell (β-Cell) Function. Digestive Diseases and Sciences. 60(8). 2529–2537. 29 indexed citations

12.

Siddiqui, Mohammad Shadab, Michael Fuchs, Michael O. Idowu, et al.. (2014). Severity of Nonalcoholic Fatty Liver Disease and Progression to Cirrhosis Are Associated With Atherogenic Lipoprotein Profile. Clinical Gastroenterology and Hepatology. 13(5). 1000–1008.e3. 174 indexed citations

13.

Burton, James R., Jacqueline G. O’Leary, Elizabeth C. Verna, et al.. (2014). A US multicenter study of hepatitis C treatment of liver transplant recipients with protease-inhibitor triple therapy. Journal of Hepatology. 61(3). 508–514. 59 indexed citations

14.

Bajaj, Jasmohan S., Leroy R. Thacker, Douglas M. Heuman, et al.. (2013). The Stroop Smartphone Application Is A Short And Valid Method To Screen for Minimal Hepatic Encephalopathy. Hepatology. 58(3). 1122–1132. 162 indexed citations

15.

Stravitz, Richard T., et al.. (2012). Association of Admission Red Cell Distribution Width with Outcome in Acute Liver Failure. The American Journal of Gastroenterology. 107. S190–S190.

16.

Bajaj, Jasmohan S., Vishwadeep Ahluwalia, James B. Wade, et al.. (2012). Asymmetric dimethylarginine is strongly associated with cognitive dysfunction and brain MR spectroscopic abnormalities in cirrhosis. Journal of Hepatology. 58(1). 38–44. 26 indexed citations

17.

Gehrau, Ricardo C., Daniel G. Maluf, Kellie J. Archer, et al.. (2011). Molecular Pathways Differentiate Hepatitis C Virus (HCV) Recurrence from Acute Cellular Rejection in HCV Liver Recipients. Molecular Medicine. 17(7-8). 824–833. 17 indexed citations

18.

Maluf, Daniel G., Kellie J. Archer, Federico Villamil, Richard T. Stravitz, & Valeria R. Mas. (2010). Hepatitis C virus recurrence after liver transplantation: biomarkers of disease and fibrosis progression. Expert Review of Gastroenterology & Hepatology. 4(4). 445–458. 10 indexed citations

19.

Sanyal, Arun J., Colin Banas, Carol Sargeant, et al.. (2006). Similarities and differences in outcomes of cirrhosis due to nonalcoholic steatohepatitis and hepatitis C†. Hepatology. 43(4). 682–689. 392 indexed citations

20.

Stravitz, Richard T., et al.. (2000). Regulation of MDR2 p-glycoprotein expression by bile salts and cholesterol in rats and primary cultures of rat hepatocytes. Gastroenterology. 118(4). A592–A592. 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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