Amber Willbanks

1.2k total citations · 1 hit paper
15 papers, 851 citations indexed

About

Amber Willbanks is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Amber Willbanks has authored 15 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Genetics. Recurrent topics in Amber Willbanks's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (4 papers) and Cancer-related gene regulation (3 papers). Amber Willbanks is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (4 papers) and Cancer-related gene regulation (3 papers). Amber Willbanks collaborates with scholars based in United States, Australia and China. Amber Willbanks's co-authors include Sibaji Sarkar, Sarah Heerboth, K Lapińska, Meghan Leary, Genevieve Housman, Mckenna Longacre, Shannon Byler, Jason X. Cheng, William M. Grady and Kelly Carter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Gut.

In The Last Decade

Amber Willbanks

15 papers receiving 846 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EMT and tumor metastasis

2015 594 citations Sarah Heerboth, Genevieve Housman et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amber Willbanks United States	9	555	298	266	111	70	15	851
Daniela Annibali Belgium	18	601 1.1×	295 1.0×	257 1.0×	104 0.9×	79 1.1×	29	1.0k
Nayoung Jun South Korea	4	607 1.1×	440 1.5×	267 1.0×	92 0.8×	81 1.2×	7	919
Sanghyun Lee South Korea	5	610 1.1×	439 1.5×	266 1.0×	92 0.8×	82 1.2×	6	923
Xin Song China	16	662 1.2×	211 0.7×	385 1.4×	120 1.1×	94 1.3×	31	921
Mazvita Maziveyi United States	7	588 1.1×	261 0.9×	280 1.1×	89 0.8×	57 0.8×	9	858
Monish Ram Makena United States	13	562 1.0×	295 1.0×	196 0.7×	63 0.6×	86 1.2×	27	839
Michelle Van Scoyk United States	15	896 1.6×	226 0.8×	245 0.9×	141 1.3×	69 1.0×	27	1.2k
Lu Yue China	17	627 1.1×	227 0.8×	234 0.9×	119 1.1×	71 1.0×	34	866
Linxiang Lan United Kingdom	14	685 1.2×	272 0.9×	330 1.2×	71 0.6×	90 1.3×	17	965
Minna Luo China	12	465 0.8×	314 1.1×	233 0.9×	67 0.6×	87 1.2×	28	723

Countries citing papers authored by Amber Willbanks

Since Specialization

Citations

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

Fields of papers citing papers by Amber Willbanks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber Willbanks

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

All Works

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15 of 15 papers shown

Willbanks, Amber, et al.. (2025). Six‐Minute Walk Test Is Superior to Grip Strength as a Marker of Functional Recovery During Cancer Cachexia Rehabilitation. Journal of Cachexia Sarcopenia and Muscle. 16(4). e70024–e70024. 1 indexed citations

Reczek, Colleen R., Yalu Zhou, Amber Willbanks, et al.. (2025). Immunomodulatory role of the stem cell circadian clock in muscle repair. Science Advances. 11(10). eadq8538–eadq8538. 2 indexed citations

Roy, Ishan, Amber Willbanks, Donna McAllister, et al.. (2024). Low-dose orthotopic cancer implantation permits measurement of longitudinal functional changes associated with cachexia. Journal of Applied Physiology. 137(3). 705–717. 1 indexed citations

Willbanks, Amber, et al.. (2024). Harnessing the Systemic Biology of Functional Decline and Cachexia to Inform more Holistic Therapies for Incurable Cancers. Cancers. 16(2). 360–360. 1 indexed citations

Yu, Ming, Helen Moinova, Amber Willbanks, et al.. (2022). Novel DNA Methylation Biomarker Panel for Detection of Esophageal Adenocarcinoma and High-Grade Dysplasia. Clinical Cancer Research. 28(17). 3761–3769. 11 indexed citations

Willbanks, Amber, et al.. (2021). RNA Epigenetics: Fine-Tuning Chromatin Plasticity and Transcriptional Regulation, and the Implications in Human Diseases. Genes. 12(5). 627–627. 15 indexed citations

Willbanks, Amber, et al.. (2021). The Role of RNA Modifications and RNA-modifying Proteins in Cancer Therapy and Drug Resistance. Current Cancer Drug Targets. 21(4). 326–352. 23 indexed citations

Duggan, Catherine, Ming Yu, Amber Willbanks, et al.. (2021). Exercise effects on DNA methylation in EVL, CDKN2A (p14, ARF), and ESR1 in colon tissue from healthy men and women. Epigenetics. 17(10). 1070–1079. 3 indexed citations

Wang, Ting, Sean K. Maden, E. Georg Luebeck, et al.. (2020). Dysfunctional epigenetic aging of the normal colon and colorectal cancer risk. Clinical Epigenetics. 12(1). 5–5. 51 indexed citations

10.

Willbanks, Amber, et al.. (2020). RNA Cytosine Methyltransferases NSUN1 and NSUN2 Mediate the Lineage-Associated Resistance to Venetoclax in Leukemia. Blood. 136(Supplement 1). 13–14. 4 indexed citations

11.

Yu, Ming, Sean K. Maden, Matthew D. Stachler, et al.. (2018). Subtypes of Barrett’s oesophagus and oesophageal adenocarcinoma based on genome-wide methylation analysis. Gut. 68(3). 389–399. 33 indexed citations

12.

Lapińska, K, Genevieve Housman, Shannon Byler, et al.. (2016). The Effects of Histone Deacetylase Inhibitor and Calpain Inhibitor Combination Therapies on Ovarian Cancer Cells. Anticancer Research. 36(11). 5731–5742. 21 indexed citations

13.

Longacre, Mckenna, Genevieve Housman, Meghan Leary, et al.. (2016). A Comparative Analysis of Genetic and Epigenetic Events of Breast and Ovarian Cancer Related to Tumorigenesis. International Journal of Molecular Sciences. 17(5). 759–759. 42 indexed citations

14.

Willbanks, Amber, Meghan Leary, Sarah Heerboth, et al.. (2016). The Evolution of Epigenetics: From Prokaryotes to Humans and Its Biological Consequences. SHILAP Revista de lepidopterología. 8. 25–36. 49 indexed citations

15.

Heerboth, Sarah, Genevieve Housman, Meghan Leary, et al.. (2015). EMT and tumor metastasis. SHILAP Revista de lepidopterología. 4(1). 6–6. 594 indexed citations breakdown →

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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