Allison Taylor

751 total citations
27 papers, 567 citations indexed

About

Allison Taylor is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Allison Taylor has authored 27 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 12 papers in Surgery and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Allison Taylor's work include Management of metastatic bone disease (9 papers), Cancer Diagnosis and Treatment (7 papers) and Brain Metastases and Treatment (5 papers). Allison Taylor is often cited by papers focused on Management of metastatic bone disease (9 papers), Cancer Diagnosis and Treatment (7 papers) and Brain Metastases and Treatment (5 papers). Allison Taylor collaborates with scholars based in United States, Canada and Denmark. Allison Taylor's co-authors include Tracy A. Balboni, Monica Krishnan, Alexander Spektor, Jonathan D. Schoenfeld, Patrick A. Ott, Luke Pike, Andrew Bang, F. Stephen Hodi, Ayal A. Aizer and Daniel Cagney and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Allison Taylor

24 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison Taylor United States 10 425 177 111 105 73 27 567
Weisi Yan United States 12 317 0.7× 270 1.5× 97 0.9× 121 1.2× 44 0.6× 30 652
Thore Thiesler Germany 14 324 0.8× 228 1.3× 192 1.7× 158 1.5× 156 2.1× 31 682
Saifee Mullamitha United Kingdom 8 226 0.5× 75 0.4× 25 0.2× 61 0.6× 136 1.9× 32 467
Michiyo Miyawaki Japan 15 263 0.6× 400 2.3× 27 0.2× 139 1.3× 107 1.5× 57 743
Ulf Titze Germany 12 108 0.3× 143 0.8× 71 0.6× 79 0.8× 85 1.2× 31 413
D. Paraïso France 14 272 0.6× 96 0.5× 54 0.5× 216 2.1× 149 2.0× 35 689
Matthew Hiemenz United States 12 179 0.4× 155 0.9× 30 0.3× 74 0.7× 75 1.0× 43 448
Prashanth Giridhar India 11 191 0.4× 137 0.8× 33 0.3× 96 0.9× 111 1.5× 43 507
Komel Khabra United Kingdom 15 243 0.6× 249 1.4× 15 0.1× 203 1.9× 78 1.1× 40 596
Scott Carruthers Australia 12 513 1.2× 129 0.7× 57 0.5× 140 1.3× 182 2.5× 25 665

Countries citing papers authored by Allison Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Allison Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Allison Taylor. A scholar is included among the top collaborators of Allison Taylor 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 Allison Taylor. Allison Taylor 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.
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Perl, Jeffrey, Isaac Teitelbaum, Bradley A. Warady, et al.. (2025). Core Interventions for the Prevention of Peritoneal Dialysis–Related Infections. Clinical Journal of the American Society of Nephrology.
3.
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Chan, Bryan, et al.. (2024). Influence of Income, Education, and Medicaid Expansion on Palliative Care in Acute Myeloid Leukemia Using the National Cancer Database. Journal of Pain and Symptom Management. 67(4). e341–e346. 1 indexed citations
5.
6.
Smith, Patrick J., Rhonda M. Merwin, Alessandro Racioppi, et al.. (2024). Acceptance and Commitment Therapy May Improve Physical Function after Allogeneic Hematopoietic Stem Cell Transplant. Transplantation and Cellular Therapy. 30(2). S117–S118. 1 indexed citations
7.
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Taylor, Allison, et al.. (2021). Hypoalbuminemia as a prognostic biomarker for higher mortality and treatment complications in acute myeloid leukemia. Hematological Oncology. 39(5). 697–706. 20 indexed citations
9.
Huynh, Mai Anh, Andrea Kelly, Allison Taylor, et al.. (2020). Characteristics of Patients and Treatment Recommendations from a Multidisciplinary Spinal Tumor Program. SHILAP Revista de lepidopterología. 1(1). 143–148. 7 indexed citations
10.
Schmidts, Andrea, Maria Ormhøj, Bryan D. Choi, et al.. (2019). Rational design of a trimeric APRIL-based CAR-binding domain enables efficient targeting of multiple myeloma. Blood Advances. 3(21). 3248–3260. 85 indexed citations
11.
Pike, Luke, Andrew Bang, Mai Anh Huynh, et al.. (2019). Palliative Radiation Therapy for Vertebral Metastases and Metastatic Cord Compression in Patients Treated With Anti-PD-1 Therapy. Frontiers in Oncology. 9. 199–199. 11 indexed citations
12.
Schmidts, Andrea, Maria Ormhøj, Allison Taylor, et al.. (2018). Engineering an Optimized Trimeric APRIL-Based CAR to Broaden Targetability of Multiple Myeloma. Blood. 132(Supplement 1). 2059–2059. 6 indexed citations
13.
Pike, Luke, Andrew Bang, Brandon A. Mahal, et al.. (2018). The Impact of Radiation Therapy on Lymphocyte Count and Survival in Metastatic Cancer Patients Receiving PD-1 Immune Checkpoint Inhibitors. International Journal of Radiation Oncology*Biology*Physics. 103(1). 142–151. 125 indexed citations
14.
Skamene, Sonia, Isha Agarwal, Maggie Makar, et al.. (2018). Impact of a dedicated palliative radiation oncology service on the use of single fraction and hypofractionated radiation therapy among patients with bone metastases. Annals of Palliative Medicine. 7(2). 186–191. 9 indexed citations
15.
Rotenstein, Lisa S., Joseph H. Killoran, Tracy A. Balboni, et al.. (2017). Impact of a clinical pathway tool on appropriate palliative radiation therapy for bone metastases. Practical Radiation Oncology. 8(4). 266–274. 8 indexed citations
16.
Pike, Luke, Andrew Bang, Patrick A. Ott, et al.. (2017). Radiation and PD-1 inhibition: Favorable outcomes after brain-directed radiation. Radiotherapy and Oncology. 124(1). 98–103. 47 indexed citations
17.
Bang, Andrew, T.J. Wilhite, Luke Pike, et al.. (2017). Multicenter Evaluation of the Tolerability of Combined Treatment With PD-1 and CTLA-4 Immune Checkpoint Inhibitors and Palliative Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 98(2). 344–351. 138 indexed citations
18.
McLachlan, Jennifer, Stergios Boussios, Alicia Okines, et al.. (2016). The Impact of Systemic Therapy Beyond First-line Treatment for Advanced Cervical Cancer. Clinical Oncology. 29(3). 153–160. 57 indexed citations
19.
Agarwal, Isha, et al.. (2015). Impact of a Dedicated Palliative Radiation Oncology Service on the Use of Single-Fraction and Hypofractionated Radiation Therapy Among Patients With Bone Metastases. International Journal of Radiation Oncology*Biology*Physics. 93(3). S63–S64. 1 indexed citations
20.
Tseng, Yolanda D., Monica Krishnan, Joshua Jones, et al.. (2013). Supportive and palliative radiation oncology service: Impact of a dedicated service on palliative cancer care. Practical Radiation Oncology. 4(4). 247–253. 22 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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