Michelle Baytarian

819 total citations
8 papers, 609 citations indexed

About

Michelle Baytarian is a scholar working on Hepatology, Epidemiology and Oncology. According to data from OpenAlex, Michelle Baytarian has authored 8 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hepatology, 6 papers in Epidemiology and 2 papers in Oncology. Recurrent topics in Michelle Baytarian's work include Liver Disease and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Michelle Baytarian is often cited by papers focused on Liver Disease and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Michelle Baytarian collaborates with scholars based in United States and Switzerland. Michelle Baytarian's co-authors include Ayse Aytaman, Tamar H. Taddei, Rajni Mehta, Rena K. Fox, David E. Kaplan, Kristel Hunt, Marina Serper, Adriana Valderrama, Feng Dai and David S. Goldberg and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Hepatology.

In The Last Decade

Michelle Baytarian

8 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Baytarian United States 7 455 445 96 67 66 8 609
Lindsay Y. King United States 12 520 1.1× 554 1.2× 153 1.6× 89 1.3× 60 0.9× 41 817
Kristel Hunt United States 11 474 1.0× 471 1.1× 180 1.9× 67 1.0× 87 1.3× 16 736
Ângelo Zambam de Mattos Brazil 16 431 0.9× 429 1.0× 183 1.9× 46 0.7× 38 0.6× 63 648
Omar Massoud United States 12 370 0.8× 398 0.9× 85 0.9× 57 0.9× 43 0.7× 25 576
Isabelle Ollivier‐Hourmand France 9 312 0.7× 258 0.6× 172 1.8× 68 1.0× 44 0.7× 31 431
Jennifer Guy United States 12 521 1.1× 387 0.9× 217 2.3× 38 0.6× 48 0.7× 22 682
Saira Khaderi United States 13 323 0.7× 300 0.7× 119 1.2× 30 0.4× 47 0.7× 27 494
Sarah Shalaby Italy 16 439 1.0× 439 1.0× 120 1.3× 25 0.4× 51 0.8× 49 636
Mahendra Nehra United States 7 620 1.4× 611 1.4× 104 1.1× 50 0.7× 93 1.4× 9 845
Vicki Wing‐Ki Hui Hong Kong 16 397 0.9× 515 1.2× 46 0.5× 42 0.6× 52 0.8× 42 681

Countries citing papers authored by Michelle Baytarian

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Baytarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Baytarian

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

All Works

8 of 8 papers shown
1.
Kaplan, David E., Marina Serper, Binu V. John, et al.. (2020). Effects of Metformin Exposure on Survival in a Large National Cohort of Patients With Diabetes and Cirrhosis. Clinical Gastroenterology and Hepatology. 19(10). 2148–2160.e14. 42 indexed citations
2.
Kaplan, David E., Marina Serper, Rajni Mehta, et al.. (2019). Effects of Hypercholesterolemia and Statin Exposure on Survival in a Large National Cohort of Patients With Cirrhosis. Gastroenterology. 156(6). 1693–1706.e12. 109 indexed citations
3.
Kaplan, David E., Michael K. Chapko, Rajni Mehta, et al.. (2017). Healthcare Costs Related to Treatment of Hepatocellular Carcinoma Among Veterans With Cirrhosis in the United States. Clinical Gastroenterology and Hepatology. 16(1). 106–114.e5. 46 indexed citations
4.
Serper, Marina, Tamar H. Taddei, Rajni Mehta, et al.. (2017). Association of Provider Specialty and Multidisciplinary Care With Hepatocellular Carcinoma Treatment and Mortality. Gastroenterology. 152(8). 1954–1964. 177 indexed citations
5.
Kaplan, David E., Shun Yu, Tamar H. Taddei, et al.. (2017). Up-titration of sorafenib for hepatocellular carcinoma: Impact on duration of exposure and cost.. Journal of Clinical Oncology. 35(4_suppl). 385–385. 3 indexed citations
6.
Goldberg, David S., Tamar H. Taddei, Marina Serper, et al.. (2016). Identifying barriers to hepatocellular carcinoma surveillance in a national sample of patients with cirrhosis. Hepatology. 65(3). 864–874. 100 indexed citations
7.
Kaplan, David E., Feng Dai, Melissa Skanderson, et al.. (2016). Recalibrating the Child–Turcotte–Pugh Score to Improve Prediction of Transplant-Free Survival in Patients with Cirrhosis. Digestive Diseases and Sciences. 61(11). 3309–3320. 20 indexed citations
8.
Kaplan, David E., Feng Dai, Ayse Aytaman, et al.. (2015). Development and Performance of an Algorithm to Estimate the Child-Turcotte-Pugh Score From a National Electronic Healthcare Database. Clinical Gastroenterology and Hepatology. 13(13). 2333–2341.e6. 112 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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