Anna Mae Diehl

68.4k total citations · 25 hit papers
407 papers, 51.5k citations indexed

About

Anna Mae Diehl is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Anna Mae Diehl has authored 407 papers receiving a total of 51.5k indexed citations (citations by other indexed papers that have themselves been cited), including 268 papers in Epidemiology, 166 papers in Hepatology and 121 papers in Molecular Biology. Recurrent topics in Anna Mae Diehl's work include Liver Disease Diagnosis and Treatment (256 papers), Liver physiology and pathology (104 papers) and Diet, Metabolism, and Disease (77 papers). Anna Mae Diehl is often cited by papers focused on Liver Disease Diagnosis and Treatment (256 papers), Liver physiology and pathology (104 papers) and Diet, Metabolism, and Disease (77 papers). Anna Mae Diehl collaborates with scholars based in United States, United Kingdom and Portugal. Anna Mae Diehl's co-authors include Jeanne M. Clark, Elizabeth M. Brunt, Joel E. Lavine, Arun J. Sanyal, Steve S. Choi, Naga Chalasani, Mariana Verdelho Machado, Manal F. Abdelmalek, Zobair M. Younossi and Frederick L. Brancati and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Anna Mae Diehl

401 papers receiving 50.3k citations

Hit Papers

The diagnosis and management of... 1988 2026 2000 2013 2012 2010 2014 2012 2015 1000 2.0k 3.0k

Peers

Anna Mae Diehl
Elizabeth M. Brunt United States
Rohit Loomba United States
Arthur J. McCullough United States
David A. Brenner United States
Herbert Tilg Austria
Ariel E. Feldstein United States
Bin Gao United States
Elizabeth M. Brunt United States
Anna Mae Diehl
Citations per year, relative to Anna Mae Diehl Anna Mae Diehl (= 1×) peers Elizabeth M. Brunt

Countries citing papers authored by Anna Mae Diehl

Since Specialization
Citations

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

Fields of papers citing papers by Anna Mae Diehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Mae Diehl. 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 Anna Mae Diehl. The network helps show where Anna Mae Diehl may publish in the future.

Co-authorship network of co-authors of Anna Mae Diehl

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Mae Diehl. A scholar is included among the top collaborators of Anna Mae Diehl 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 Anna Mae Diehl. Anna Mae Diehl 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.
Du, Kuo, David S. Umbaugh, Nanqi Ren, & Anna Mae Diehl. (2025). Cellular senescence in liver diseases: From molecular drivers to therapeutic targeting. Journal of Hepatology. 84(1). 194–212. 1 indexed citations
2.
Umbaugh, David S., Anna Mae Diehl, & Kuo Du. (2025). Redefining senescence through hepatocyte fate changes in liver diseases. Trends in Endocrinology and Metabolism. 2 indexed citations
3.
Barzi, Mercedes, Tong Chen, Yunhan Ma, et al.. (2024). A humanized mouse model for adeno-associated viral gene therapy. Nature Communications. 15(1). 1955–1955. 7 indexed citations
4.
Du, Kuo, Liuyang Wang, Ji Hye Jun, et al.. (2024). Aging promotes metabolic dysfunction-associated steatotic liver disease by inducing ferroptotic stress. Nature Aging. 4(7). 949–968. 31 indexed citations
5.
Chalasani, Naga, Eduardo Vilar‐Gómez, Rohit Loomba, et al.. (2024). PNPLA3 rs738409, age, diabetes, sex, and advanced fibrosis jointly contribute to the risk of major adverse liver outcomes in metabolic dysfunction-associated steatotic liver disease. Hepatology. 80(5). 1212–1226. 18 indexed citations
6.
Murphy, William A., Anna Mae Diehl, Matthew Shane Loop, et al.. (2024). Alterations in zonal distribution and plasma membrane localization of hepatocyte bile acid transporters in patients with NAFLD. Hepatology Communications. 8(3). 7 indexed citations
7.
Maeso‐Díaz, Raquel, Kuo Du, Christopher C. Pan, et al.. (2023). Targeting senescent hepatocytes using the thrombomodulin-PAR1 inhibitor vorapaxar ameliorates NAFLD progression. Hepatology. 78(4). 1209–1222. 19 indexed citations
8.
Wegermann, Kara, Marat Fudim, Ricardo Henao, et al.. (2023). Serum Metabolites Are Associated With HFpEF in Biopsy‐Proven Nonalcoholic Fatty Liver Disease. Journal of the American Heart Association. 12(14). e029873–e029873. 5 indexed citations
9.
Du, Kuo, Raquel Maeso‐Díaz, Ergang Wang, et al.. (2023). Targeting YAP-mediated HSC death susceptibility and senescence for treatment of liver fibrosis. Hepatology. 77(6). 1998–2015. 60 indexed citations
10.
Zhou, Jin, Madhulika Tripathi, Jia Pei Ho, et al.. (2022). Spermidine-mediated hypusination of translation factor EIF5A improves mitochondrial fatty acid oxidation and prevents non-alcoholic steatohepatitis progression. Nature Communications. 13(1). 5202–5202. 55 indexed citations
11.
Ramalingam, Sendhilnathan, Mohammad Rauf Chaudhry, Yi Ren, et al.. (2020). Pre-transplant hepatic steatosis (fatty liver) is associated with chronic graft-vs-host disease but not mortality. PLoS ONE. 15(9). e0238824–e0238824. 4 indexed citations
12.
Diehl, Anna Mae, Nathalie J. Farpour‐Lambert, Liping Zhao, & Herbert Tilg. (2019). Why we need to curb the emerging worldwide epidemic of nonalcoholic fatty liver disease. Nature Metabolism. 1(11). 1027–1029. 18 indexed citations
13.
Reese, Aspen T., Fátima C. Pereira, Arno Schintlmeister, et al.. (2018). Microbial nitrogen limitation in the mammalian large intestine. Nature Microbiology. 3(12). 1441–1450. 92 indexed citations
14.
Zhu, Changyu, KyeongJin Kim, Xiaobo Wang, et al.. (2018). Hepatocyte Notch activation induces liver fibrosis in nonalcoholic steatohepatitis. Science Translational Medicine. 10(468). 194 indexed citations
15.
Kim, Jieun, Jeongeun Hyun, Sihyung Wang, et al.. (2017). Thymosin beta-4 regulates activation of hepatic stellate cells via hedgehog signaling. Scientific Reports. 7(1). 3815–3815. 22 indexed citations
16.
Markowitz, Geoffrey J., Pengyuan Yang, Jing Fu, et al.. (2016). Inflammation-Dependent IL18 Signaling Restricts Hepatocellular Carcinoma Growth by Enhancing the Accumulation and Activity of Tumor-Infiltrating Lymphocytes. Cancer Research. 76(8). 2394–2405. 42 indexed citations
17.
Chan, Isaac S., Cynthia D. Guy, Yuping Chen, et al.. (2012). Paracrine Hedgehog Signaling Drives Metabolic Changes in Hepatocellular Carcinoma. Cancer Research. 72(24). 6344–6350. 41 indexed citations
18.
Xie, Guanhua, Steve S. Choi, Wing‐Kin Syn, et al.. (2012). Hedgehog signalling regulates liver sinusoidal endothelial cell capillarisation. Gut. 62(2). 299–309. 103 indexed citations
19.
Arzumanyan, Alla, Vaishnavi Sambandam, Marcia M. Clayton, et al.. (2012). Hedgehog Signaling Blockade Delays Hepatocarcinogenesis Induced by Hepatitis B Virus X Protein. Cancer Research. 72(22). 5912–5920. 58 indexed citations
20.
Sun, Zhaoli, Xiuying Zhang, Jayme E. Locke, et al.. (2008). Recruitment of host progenitor cells in rat liver transplants #. Hepatology. 49(2). 587–597. 24 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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