Anne Deucher

1.3k total citations
17 papers, 803 citations indexed

About

Anne Deucher is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Anne Deucher has authored 17 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Infectious Diseases. Recurrent topics in Anne Deucher's work include Skin and Cellular Biology Research (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Orthopedic Infections and Treatments (2 papers). Anne Deucher is often cited by papers focused on Skin and Cellular Biology Research (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Orthopedic Infections and Treatments (2 papers). Anne Deucher collaborates with scholars based in United States, Ireland and Japan. Anne Deucher's co-authors include Richard L. Eckert, Tatiana Efimova, Shervin R. Dashti, Nancy Robinson, Frederic Bone, Sivaprakasam Balasubramanian, Roshantha A.S. Chandraratna, James F. Crish, Sunil Nagpal and Michael T. Sturniolo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Anne Deucher

17 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Deucher United States 12 442 140 108 104 95 17 803
Shweta Tikoo Australia 12 377 0.9× 73 0.5× 233 2.2× 80 0.8× 75 0.8× 19 718
Miao Tang United States 18 411 0.9× 94 0.7× 230 2.1× 206 2.0× 84 0.9× 43 989
Julie Pedley Australia 12 274 0.6× 116 0.8× 78 0.7× 63 0.6× 123 1.3× 22 583
Victoria Sherwood United Kingdom 16 616 1.4× 129 0.9× 89 0.8× 76 0.7× 218 2.3× 19 969
Ingrid Boehm Australia 13 358 0.8× 70 0.5× 152 1.4× 27 0.3× 167 1.8× 20 865
Mara Hincenbergs United States 12 293 0.7× 205 1.5× 132 1.2× 150 1.4× 68 0.7× 12 775
Gautam Shankar United States 10 477 1.1× 65 0.5× 75 0.7× 192 1.8× 93 1.0× 23 889
Joonsung Hwang South Korea 22 771 1.7× 227 1.6× 96 0.9× 71 0.7× 178 1.9× 37 1.1k
Kenneth J. Mandell United States 17 510 1.2× 145 1.0× 179 1.7× 17 0.2× 105 1.1× 27 1.1k
Claudia Schöllmann Germany 11 245 0.6× 84 0.6× 43 0.4× 195 1.9× 49 0.5× 21 719

Countries citing papers authored by Anne Deucher

Since Specialization
Citations

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

Fields of papers citing papers by Anne Deucher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Deucher

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

All Works

17 of 17 papers shown
1.
Deucher, Anne, et al.. (2021). Performance of Abbott ID‐Now rapid nucleic amplification test for laboratory identification of COVID‐19 in asymptomatic emergency department patients. SHILAP Revista de lepidopterología. 2(6). e12592–e12592. 8 indexed citations
2.
Gopez, Allan, Venice Servellita, Shaun Arevalo, et al.. (2020). Direct Comparison of SARS-CoV-2 Analytical Limits of Detection across Seven Molecular Assays. Journal of Clinical Microbiology. 58(9). 66 indexed citations
3.
Deucher, Anne & Geoffrey D. Wool. (2019). How I investigate bone marrow necrosis. International Journal of Laboratory Hematology. 41(5). 585–592. 8 indexed citations
4.
Tan, Christopher, M. Jody Westbrook, Keith Nykamp, et al.. (2016). Autosomal recessive MFN2‐related Charcot‐Marie‐Tooth disease with diaphragmatic weakness: Case report and literature review. American Journal of Medical Genetics Part A. 170(6). 1580–1584. 14 indexed citations
5.
Wool, Geoffrey D. & Anne Deucher. (2015). Bone Marrow Necrosis. American Journal of Clinical Pathology. 143(2). 201–213. 18 indexed citations
6.
Deucher, Anne, Zhongxia Qi, Jingwei Yu, Tracy I. George, & Joan Etzell. (2015). BCL6 Expression Correlates With the t(1;19) Translocation in B-Lymphoblastic Leukemia. American Journal of Clinical Pathology. 143(4). 547–557. 11 indexed citations
7.
8.
Deucher, Anne, et al.. (2010). Rare Sequence Variation in the Genome Flanking a Short Tandem Repeat Locus Can Lead to a Question of “Nonmaternity”. Journal of Molecular Diagnostics. 12(3). 384–389. 2 indexed citations
9.
Eckert, Richard L., James F. Crish, Tatiana Efimova, et al.. (2004). Regulation of Involucrin Gene Expression. Journal of Investigative Dermatology. 123(1). 13–22. 118 indexed citations
10.
Sturniolo, Michael T., Shervin R. Dashti, Anne Deucher, et al.. (2003). A Novel Tumor Suppressor Protein Promotes Keratinocyte Terminal Differentiation via Activation of Type I Transglutaminase. Journal of Biological Chemistry. 278(48). 48066–48073. 59 indexed citations
11.
Deucher, Anne, Tatiana Efimova, & Richard L. Eckert. (2002). Calcium-dependent Involucrin Expression Is Inversely Regulated by Protein Kinase C (PKC)α and PKCδ. Journal of Biological Chemistry. 277(19). 17032–17040. 72 indexed citations
12.
Efimova, Tatiana, Anne Deucher, Toshio Kuroki, Motoi Ohba, & Richard L. Eckert. (2002). Novel Protein Kinase C Isoforms Regulate Human Keratinocyte Differentiation by Activating a p38δ Mitogen-activated Protein Kinase Cascade That Targets CCAAT/Enhancer-binding Protein α. Journal of Biological Chemistry. 277(35). 31753–31760. 75 indexed citations
13.
Eckert, Richard L., Tatiana Efimova, Shervin R. Dashti, et al.. (2002). Keratinocyte Survival, Differentiation, and Death: Many Roads Lead to Mitogen-Activated Protein Kinase. Journal of Investigative Dermatology Symposium Proceedings. 7(1). 36–40. 106 indexed citations
14.
Duvic, Madeleine, Claudia Schulz, C Hager, et al.. (2000). Expression of a retinoid-inducible tumor suppressor, Tazarotene-inducible gene-3, is decreased in psoriasis and skin cancer.. PubMed. 6(8). 3249–59. 60 indexed citations
15.
Deucher, Anne, Sunil Nagpal, R A Chandraratna, et al.. (2000). The carboxy-terminal hydrophobic domain of TIG3, a class II tumor suppressor protein, is required for appropriate cellular localization and optimal biological activity.. International Journal of Oncology. 17(6). 1195–203. 36 indexed citations
16.
DiSepio, Daniel, Corine Ghosn, Richard L. Eckert, et al.. (1998). Identification and characterization of a retinoid-induced class II tumor suppressor/growth regulatory gene. Proceedings of the National Academy of Sciences. 95(25). 14811–14815. 139 indexed citations
17.
Singer, Sanford S., Karen M. Henkels, Anne Deucher, et al.. (1996). Growth hormone and aging change rat liver fatty acid binding protein levels.. Journal of the American College of Nutrition. 15(2). 169–174. 9 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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