Abigail L. Miller

1.4k total citations
10 papers, 1.2k citations indexed

About

Abigail L. Miller is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Abigail L. Miller has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Organic Chemistry. Recurrent topics in Abigail L. Miller's work include Cancer-related Molecular Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Melanoma and MAPK Pathways (2 papers). Abigail L. Miller is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Melanoma and MAPK Pathways (2 papers). Abigail L. Miller collaborates with scholars based in United States, Belgium and United Kingdom. Abigail L. Miller's co-authors include Tyler Jacks, Julien Sage, Pedro A. Pérez–Mancera, Bart O. Williams, George Mulligan, Si‐Qi Chen, Laura D. Attardi, Frank McCormick, Jesse Lyons and Vernon T. Phan and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Genes & Development.

In The Last Decade

Abigail L. Miller

9 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abigail L. Miller United States	6	862	595	195	169	126	10	1.2k
David H. Randle United States	7	1.5k 1.8×	1.3k 2.1×	167 0.9×	208 1.2×	268 2.1×	9	1.9k
Robert Tressler United States	15	758 0.9×	280 0.5×	266 1.4×	134 0.8×	167 1.3×	20	1.3k
Verline Justilien United States	21	1.3k 1.5×	475 0.8×	36 0.2×	261 1.5×	328 2.6×	31	1.7k
Betsy Nelson United States	3	818 0.9×	442 0.7×	62 0.3×	170 1.0×	143 1.1×	3	1.1k
Connie Chao United States	12	1.5k 1.8×	943 1.6×	83 0.4×	117 0.7×	278 2.2×	15	1.8k
Sumanta Goswami United States	13	735 0.9×	470 0.8×	41 0.2×	248 1.5×	257 2.0×	14	1.4k
Ju He United States	14	606 0.7×	238 0.4×	37 0.2×	206 1.2×	97 0.8×	21	880
Yunyuan V. Wang United States	7	1.3k 1.6×	592 1.0×	124 0.6×	90 0.5×	228 1.8×	7	1.5k
Pegah Rouhi Sweden	12	590 0.7×	210 0.4×	33 0.2×	289 1.7×	282 2.2×	12	913
Micaela Quarto Italy	16	1.5k 1.8×	773 1.3×	27 0.1×	159 0.9×	318 2.5×	18	1.9k

Countries citing papers authored by Abigail L. Miller

Since Specialization

Citations

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

Fields of papers citing papers by Abigail L. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abigail L. Miller. 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 Abigail L. Miller. The network helps show where Abigail L. Miller may publish in the future.

Co-authorship network of co-authors of Abigail L. Miller

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

All Works

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10 of 10 papers shown

Miller, Abigail L., Naiara Perurena, Alycia Gardner, et al.. (2023). DAB2IP Is a Bifunctional Tumor Suppressor That Regulates Wild-Type RAS and Inflammatory Cascades in KRAS Mutant Colon Cancer. Cancer Research. 83(11). 1800–1814. 7 indexed citations

Copeland, Kristen A., et al.. (2023). A narrative review of clinic–community food provision interventions aimed at improving diabetes outcomes among food-insecure adults: examining the role of nutrition education. Nutrition Reviews. 82(10). 1407–1419. 1 indexed citations

Perurena, Naiara, Rebecca Lock, Srivatsan Raghavan, et al.. (2023). USP9X mediates an acute adaptive response to MAPK suppression in pancreatic cancer but creates multiple actionable therapeutic vulnerabilities. Cell Reports Medicine. 4(4). 101007–101007. 5 indexed citations

Xu, Yang, Yuxing Yao, Haitao Yu, et al.. (2019). Nanoparticle-Encapsulated Hollow Porous Polymeric Nanosphere Frameworks as Highly Active and Tunable Size-Selective Catalysts. ACS Macro Letters. 8(10). 1263–1267. 24 indexed citations

Gardner, Denise M., Kathleen M. Kelley, & Abigail L. Miller. (2018). Assessing the Educational Needs of the Pennsylvania Wine Industry. Journal of Extension. 56(2). 1 indexed citations

Centinari, Michela, et al.. (2016). Assessing Growers' Challenges and Needs to Improve Wine Grape Production in Pennsylvania. Journal of Extension. 54(3). 4 indexed citations

Lock, Rebecca, Rachel Ingraham, Ophélia Maertens, et al.. (2016). Cotargeting MNK and MEK kinases induces the regression of NF1-mutant cancers. Journal of Clinical Investigation. 126(6). 2181–2190. 22 indexed citations

Young, Amy, et al.. (2009). Chapter 1 Ras Signaling and Therapies. Advances in cancer research. 102. 1–17. 166 indexed citations

Sage, Julien, et al.. (2003). Acute mutation of retinoblastoma gene function is sufficient for cell cycle re-entry. Nature. 424(6945). 223–228. 429 indexed citations

10.

Sage, Julien, George Mulligan, Laura D. Attardi, et al.. (2000). Targeted disruption of the three Rb-related genes leads to loss of G₁ control and immortalization. Genes & Development. 14(23). 3037–3050. 498 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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