Anna M. Eiring

4.1k total citations
65 papers, 1.5k citations indexed

About

Anna M. Eiring is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Anna M. Eiring has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Hematology, 33 papers in Genetics and 22 papers in Molecular Biology. Recurrent topics in Anna M. Eiring's work include Chronic Myeloid Leukemia Treatments (33 papers), Chronic Lymphocytic Leukemia Research (24 papers) and Acute Myeloid Leukemia Research (15 papers). Anna M. Eiring is often cited by papers focused on Chronic Myeloid Leukemia Treatments (33 papers), Chronic Lymphocytic Leukemia Research (24 papers) and Acute Myeloid Leukemia Research (15 papers). Anna M. Eiring collaborates with scholars based in United States, Canada and United Kingdom. Anna M. Eiring's co-authors include Michael W. Deininger, Thomas O’Hare, Matthew S. Zabriskie, N Georgiade, Frederick W. Stocker, Jamshid S. Khorashad, Michael A. Caligiuri, Danilo Perrotti, Paolo Neviani and Ramasamy Santhanam and has published in prestigious journals such as Journal of Clinical Investigation, Nature reviews. Cancer and Blood.

In The Last Decade

Anna M. Eiring

60 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna M. Eiring United States 19 669 657 411 192 186 65 1.5k
Dana E. Cullen United States 11 751 1.1× 1.5k 2.3× 465 1.1× 329 1.7× 320 1.7× 15 2.2k
Patricia Fergelot France 23 444 0.7× 666 1.0× 301 0.7× 249 1.3× 94 0.5× 70 1.6k
Kathleen W. Rao United States 23 462 0.7× 678 1.0× 197 0.5× 254 1.3× 46 0.2× 52 1.7k
Simone Boehrer Germany 24 620 0.9× 1.0k 1.5× 415 1.0× 367 1.9× 243 1.3× 68 1.7k
Marina R. Carpinelli Australia 15 484 0.7× 855 1.3× 265 0.6× 249 1.3× 258 1.4× 30 1.5k
Lorena Lôbo de Figueiredo-Pontes Brazil 15 228 0.3× 664 1.0× 129 0.3× 258 1.3× 119 0.6× 50 1.1k
Dapeng Wang United States 19 241 0.4× 494 0.8× 220 0.5× 288 1.5× 571 3.1× 44 1.4k
Jae-Hung Shieh United States 20 303 0.5× 959 1.5× 220 0.5× 352 1.8× 334 1.8× 36 1.6k
Ladina Di Rago Australia 19 475 0.7× 601 0.9× 190 0.5× 304 1.6× 523 2.8× 38 1.4k
Sam Amin United Kingdom 16 569 0.9× 526 0.8× 228 0.6× 181 0.9× 213 1.1× 44 1.4k

Countries citing papers authored by Anna M. Eiring

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Eiring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna M. Eiring

This figure shows the co-authorship network connecting the top 25 collaborators of Anna M. Eiring. A scholar is included among the top collaborators of Anna M. Eiring 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 M. Eiring. Anna M. Eiring 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.
Eiring, Anna M., et al.. (2025). Advances in the understanding of health disparities in the United States Hispanic population. PubMed. 6(1). 71–75. 1 indexed citations
2.
Alvarado, Luis, Michelle Kilcoyne, Zuber D. Mulla, et al.. (2024). Racial/ethnic differences in the clinical presentation and survival of breast cancer by subtype. Frontiers in Oncology. 14. 1443399–1443399. 2 indexed citations
3.
Eiring, Anna M., et al.. (2023). The Role of G0S2 in Lipid Metabolism Regulation in Chronic Myeloid Leukemia. Blood. 142(Supplement 1). 5705–5705. 1 indexed citations
4.
Elliott, David J., et al.. (2023). The prognostic value of 19S ATPase proteasome subunits in acute myeloid leukemia and other forms of cancer. Frontiers in Medicine. 10. 1209425–1209425. 4 indexed citations
5.
Young, James, et al.. (2022). 19S Proteasome Subunits as Oncogenes and Prognostic Biomarkers in FLT3-Mutated Acute Myeloid Leukemia (AML). International Journal of Molecular Sciences. 23(23). 14586–14586. 6 indexed citations
6.
Eiring, Anna M., et al.. (2021). Blood cancer health disparities in the United States Hispanic population. Molecular Case Studies. 7(2). a005967–a005967. 5 indexed citations
7.
Pomicter, Anthony D., Clinton C. Mason, Anna M. Eiring, et al.. (2017). Inhibition of Nucleocytoplasmic Export Enhances Selective Elimination of Leukemic Stem Cells in Chronic Myeloid Leukemia. Blood. 130. 42–42.
8.
Eiring, Anna M., Jonathan M. Ahmann, Clinton C. Mason, et al.. (2017). Loss of G0S2 in Kinase-Independent TKI Resistance and Blastic Transformation of CML. Blood. 130. 4173–4173. 1 indexed citations
9.
Wallace, Jared, Dominique Kagele, Anna M. Eiring, et al.. (2017). miR-155 promotes FLT3-ITD–induced myeloproliferative disease through inhibition of the interferon response. Blood. 129(23). 3074–3086. 52 indexed citations
10.
Woessner, David W., Anna M. Eiring, Benjamin Bruno, et al.. (2015). A coiled-coil mimetic intercepts BCR-ABL1 dimerization in native and kinase-mutant chronic myeloid leukemia. Leukemia. 29(8). 1668–1675. 14 indexed citations
11.
Eiring, Anna M., et al.. (2014). STAT3 as a mediator of BCR-ABL1-independent resistance in chronic myeloid leukemia. PubMed. 3(S1). S5–S6. 17 indexed citations
12.
Corbin, Amie S., Thomas O’Hare, Zhimin Gu, et al.. (2013). KIT Signaling Governs Differential Sensitivity of Mature and Primitive CML Progenitors to Tyrosine Kinase Inhibitors. Cancer Research. 73(18). 5775–5786. 17 indexed citations
13.
O’Hare, Thomas, Matthew S. Zabriskie, Anna M. Eiring, & Michael W. Deininger. (2012). Pushing the limits of targeted therapy in chronic myeloid leukaemia. Nature reviews. Cancer. 12(8). 513–526. 227 indexed citations
14.
Eiring, Anna M., et al.. (2011). Advances in the treatment of chronic myeloid leukemia. BMC Medicine. 9(1). 99–99. 33 indexed citations
15.
Lunsford, Keri E., et al.. (2008). Alloreactive (CD4-Independent) CD8+ T Cells Jeopardize Long-Term Survival of Intrahepatic Islet Allografts. American Journal of Transplantation. 8(6). 1113–1128. 14 indexed citations
16.
Neviani, Paolo, Ramasamy Santhanam, Joshua J. Oaks, et al.. (2007). FTY720, a new alternative for treating blast crisis chronic myelogenous leukemia and Philadelphia chromosome–positive acute lymphocytic leukemia. Journal of Clinical Investigation. 117(9). 2408–2421. 269 indexed citations
17.
Lunsford, Keri E., Phillip H. Horne, Anna M. Eiring, et al.. (2006). Activation and Maturation of Alloreactive CD4-Independent, CD8+ Cytolytic T Cells. American Journal of Transplantation. 6(10). 2268–2281. 17 indexed citations
18.
Lunsford, Keri E., et al.. (2005). Targeting LFA-1 and CD154 Suppresses the In Vivo Activation and Development of Cytolytic (CD4-Independent) CD8+ T Cells. The Journal of Immunology. 175(12). 7855–7866. 30 indexed citations
19.
Lunsford, Keri E., Donghong Gao, Anna M. Eiring, et al.. (2004). Evidence for Tissue-Directed Immune Responses: Analysis of CD4- and CD8-Dependent Alloimmunity. Transplantation. 78(8). 1125–1133. 20 indexed citations
20.
Manier, D. Hal, et al.. (2000). Human fibroblasts as a relevant model to study signal transduction in affective disorders. Journal of Affective Disorders. 61(1-2). 51–58. 37 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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