Teni Anbarchian

619 total citations · 1 hit paper
9 papers, 444 citations indexed

About

Teni Anbarchian is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Teni Anbarchian has authored 9 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Epidemiology. Recurrent topics in Teni Anbarchian's work include Liver physiology and pathology (2 papers), Epigenetics and DNA Methylation (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Teni Anbarchian is often cited by papers focused on Liver physiology and pathology (2 papers), Epigenetics and DNA Methylation (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Teni Anbarchian collaborates with scholars based in United States, France and India. Teni Anbarchian's co-authors include Roel Nusse, Yinhua Jin, Peng Wu, Matt Fish, Weng Chuan Peng, Catriona Y. Logan, Bin Li, Bruce Wang, Karen M. Lyons and Adrián Álvarez-Varela and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Bone and Mineral Research.

In The Last Decade

Teni Anbarchian

9 papers receiving 439 citations

Hit Papers

Inflammatory Cytokine TNF... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teni Anbarchian United States 7 213 152 117 78 65 9 444
Norihisa Ichinohe Japan 14 139 0.7× 318 2.1× 321 2.7× 79 1.0× 66 1.0× 33 546
Mitsuru Inamura Japan 8 492 2.3× 267 1.8× 265 2.3× 141 1.8× 32 0.5× 10 653
Antonio Lo Nigro Italy 9 166 0.8× 52 0.3× 75 0.6× 30 0.4× 46 0.7× 15 300
Oswaldo A. Lozoya United States 10 245 1.2× 245 1.6× 262 2.2× 77 1.0× 59 0.9× 19 611
Zoë Hewitt United Kingdom 10 504 2.4× 156 1.0× 210 1.8× 144 1.8× 24 0.4× 17 640
Marie‐Christine Dauge France 9 119 0.6× 105 0.7× 130 1.1× 13 0.2× 26 0.4× 11 300
Fatima Aerts‐Kaya Türkiye 10 137 0.6× 28 0.2× 76 0.6× 17 0.2× 38 0.6× 33 365
Anita L. Sørensen Norway 10 714 3.4× 37 0.2× 97 0.8× 26 0.3× 27 0.4× 12 817
Christoph Koehler Germany 4 365 1.7× 137 0.9× 251 2.1× 66 0.8× 18 0.3× 5 484
Naoko Oshima Japan 12 308 1.4× 98 0.6× 164 1.4× 8 0.1× 46 0.7× 16 573

Countries citing papers authored by Teni Anbarchian

Since Specialization
Citations

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

Fields of papers citing papers by Teni Anbarchian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teni Anbarchian

This figure shows the co-authorship network connecting the top 25 collaborators of Teni Anbarchian. A scholar is included among the top collaborators of Teni Anbarchian 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 Teni Anbarchian. Teni Anbarchian 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.
Anbarchian, Teni, et al.. (2023). Health care–associated Clostridioides difficile infection: Learning the perspectives of health care workers to build successful strategies. American Journal of Infection Control. 52(3). 284–292. 2 indexed citations
2.
Sarkar, Abby, Yinhua Jin, Brian C. DeFelice, et al.. (2022). Intermittent fasting induces rapid hepatocyte proliferation to restore the hepatostat in the mouse liver. eLife. 12. 17 indexed citations
3.
Jin, Yinhua, Teni Anbarchian, & Roel Nusse. (2022). Assessment of Hepatocyte Ploidy by Flow Cytometry. Methods in molecular biology. 2544. 171–181. 2 indexed citations
4.
Jin, Yinhua, Teni Anbarchian, Peng Wu, et al.. (2022). Wnt signaling regulates hepatocyte cell division by a transcriptional repressor cascade. Proceedings of the National Academy of Sciences. 119(30). e2203849119–e2203849119. 19 indexed citations
5.
Peng, Weng Chuan, Catriona Y. Logan, Matt Fish, et al.. (2018). Inflammatory Cytokine TNFα Promotes the Long-Term Expansion of Primary Hepatocytes in 3D Culture. Cell. 175(6). 1607–1619.e15. 239 indexed citations breakdown →
6.
Anbarchian, Teni, et al.. (2018). Wnt/β-catenin signaling regulates ependymal cell development and adult homeostasis. Proceedings of the National Academy of Sciences. 115(26). E5954–E5962. 37 indexed citations
7.
Wang, Weiguang, et al.. (2016). Smad2 and Smad3 Regulate Chondrocyte Proliferation and Differentiation in the Growth Plate. PLoS Genetics. 12(10). e1006352–e1006352. 48 indexed citations
8.
Maymon, Maskit, Pilar Martínez‐Hidalgo, Stephen Tran, et al.. (2015). Mining the phytomicrobiome to understand how bacterial coinoculations enhance plant growth. Frontiers in Plant Science. 6. 784–784. 23 indexed citations
9.
Rigueur, Diana, et al.. (2014). The Type I BMP Receptor ACVR1/ALK2 is Required for Chondrogenesis During Development. Journal of Bone and Mineral Research. 30(4). 733–741. 57 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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