Debra Hanks

2.0k total citations · 1 hit paper
10 papers, 510 citations indexed

About

Debra Hanks is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Debra Hanks has authored 10 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Debra Hanks's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Colorectal and Anal Carcinomas (2 papers). Debra Hanks is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Colorectal and Anal Carcinomas (2 papers). Debra Hanks collaborates with scholars based in United States. Debra Hanks's co-authors include Karina Kulangara, Supriya Shah, Kenneth Emancipator, Jonathan Juco, Jared Lunceford, Jiangdian Wang, Mary J. Savage, Malinka Jansson, Ellie Corigliano and Nancy R. Zhang and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Annals of Oncology.

In The Last Decade

Debra Hanks

10 papers receiving 506 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.

Clinical Utility of the Combined Positive Score for Programmed Death Ligand-1 Expression and the Approval of Pembrolizumab for Treatment of Gastric Cancer

2018 378 citations Karina Kulangara, Nancy R. Zhang et al. Archives of Pathology & Laboratory Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Debra Hanks United States	5	404	206	155	81	65	10	510
Ellie Corigliano United States	3	546 1.4×	307 1.5×	146 0.9×	109 1.3×	80 1.2×	4	635
Malinka Jansson United States	4	639 1.6×	350 1.7×	170 1.1×	125 1.5×	103 1.6×	11	742
Takashi Ichimura Japan	12	361 0.9×	274 1.3×	143 0.9×	76 0.9×	108 1.7×	52	579
Connull Leslie Australia	12	211 0.5×	188 0.9×	145 0.9×	61 0.8×	112 1.7×	26	511
Gerhard Schenkirsch Germany	14	354 0.9×	106 0.5×	156 1.0×	39 0.5×	103 1.6×	44	532
Rita P. Dalal United States	10	415 1.0×	311 1.5×	144 0.9×	109 1.3×	88 1.4×	21	622
David E. Adelberg United States	13	317 0.8×	305 1.5×	170 1.1×	38 0.5×	80 1.2×	37	542
Marina Pulido France	10	315 0.8×	275 1.3×	48 0.3×	134 1.7×	84 1.3×	25	522
Holly Kemberling United States	7	471 1.2×	154 0.7×	125 0.8×	99 1.2×	118 1.8×	9	567
Charlotte Roach United States	10	608 1.5×	357 1.7×	101 0.7×	152 1.9×	99 1.5×	15	717

Countries citing papers authored by Debra Hanks

Since Specialization

Citations

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

Fields of papers citing papers by Debra Hanks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debra Hanks

This figure shows the co-authorship network connecting the top 25 collaborators of Debra Hanks. A scholar is included among the top collaborators of Debra Hanks 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 Debra Hanks. Debra Hanks 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

Polewski, Monika D., Mariana M. Cajaiba, Debra Hanks, et al.. (2022). A Standardized Investigational Ki-67 Immunohistochemistry Assay Used to Assess High-Risk Early Breast Cancer Patients in the monarchE Phase 3 Clinical Study Identifies a Population With Greater Risk of Disease Recurrence When Treated With Endocrine Therapy Alone. Applied immunohistochemistry & molecular morphology. 30(4). 237–245. 11 indexed citations

Sadhwani, Apaar, Ali Behrooz, Trissia Brown, et al.. (2021). Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images. Scientific Reports. 11(1). 16605–16605. 34 indexed citations

Batenchuk, Cory, Peter Cimermančič, Eunhee Yi, et al.. (2020). A machine learning-based approach for the inference of immunotherapy biomarker status in lung adenocarcinoma from hematoxylin and eosin (H&E) histopathology images.. Journal of Clinical Oncology. 38(15_suppl). 3122–3122. 3 indexed citations

Kulangara, Karina, Nancy R. Zhang, Ellie Corigliano, et al.. (2018). Clinical Utility of the Combined Positive Score for Programmed Death Ligand-1 Expression and the Approval of Pembrolizumab for Treatment of Gastric Cancer. Archives of Pathology & Laboratory Medicine. 143(3). 330–337. 378 indexed citations breakdown →

Kulangara, Karina, Scott Boyer, Debra Hanks, et al.. (2018). Investigation of PD-L1 expression and response to pembrolizumab (pembro) in gastric cancer (GC) and cervical cancer (CC) using combined positive score (CPS) and tumor proportion score (TPS).. Journal of Clinical Oncology. 36(15_suppl). 4065–4065. 11 indexed citations

Álvarez, Sara, Josette William, Debra Hanks, et al.. (2017). PD-L1 Detection and Assay Performance in Squamous Cell Carcinoma of the Head and Neck Using PD-L1 IHC 28-8 pharmDx. Annals of Oncology. 28. v380–v380. 1 indexed citations

William, Josette, Debra Hanks, Malinka Jansson, et al.. (2017). Development of a diagnostic PD-L1 immunohistochemical assay for nivolumab therapy in urothelial carcinoma.. Journal of Clinical Oncology. 35(15_suppl). e14585–e14585. 1 indexed citations

Álvarez, Sara, Debra Hanks, Josette William, et al.. (2017). Assay performance of the PD-L1 IHC 28-8 pharmDx assay in squamous cell carcinoma of the head and neck (SCCHN).. Journal of Clinical Oncology. 35(15_suppl). e14588–e14588. 2 indexed citations

Álvarez, Sara, Josette William, Debra Hanks, et al.. (2017). Development of a clinical trial immunohistochemistry (IHC) assay using a novel antibody to CD38.. Journal of Clinical Oncology. 35(15_suppl). 7561–7561. 1 indexed citations

10.

Kulangara, Karina, Debra Hanks, Supriya Shah, et al.. (2017). Development of the combined positive score (CPS) for the evaluation of PD-L1 in solid tumors with the immunohistochemistry assay PD-L1 IHC 22C3 pharmDx.. Journal of Clinical Oncology. 35(15_suppl). e14589–e14589. 68 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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