Suzanne E. Davis

4.0k total citations · 1 hit paper
13 papers, 2.2k citations indexed

About

Suzanne E. Davis is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Suzanne E. Davis has authored 13 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Suzanne E. Davis's work include Lung Cancer Treatments and Mutations (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiac Arrest and Resuscitation (2 papers). Suzanne E. Davis is often cited by papers focused on Lung Cancer Treatments and Mutations (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiac Arrest and Resuscitation (2 papers). Suzanne E. Davis collaborates with scholars based in United States, Canada and Sweden. Suzanne E. Davis's co-authors include Cristina Gutiérrez, Monica Loghin, Nitin Jain, Krishna V. Komanduri, Katayoun Rezvani, Jason R. Westin, Sattva S. Neelapu, Sherry Adkins, Sudhakar Tummala and Partow Kebriaei and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and CHEST Journal.

In The Last Decade

Suzanne E. Davis

13 papers receiving 2.2k 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.

Chimeric antigen receptor T-cell therapy — assessment and management of toxicities

2017 1.6k citations Sattva S. Neelapu, Sudhakar Tummala et al. Nature Reviews Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suzanne E. Davis United States	9	1.5k	512	447	429	401	13	2.2k
Keisuke Watanabe Japan	22	1.1k 0.7×	298 0.6×	607 1.4×	453 1.1×	214 0.5×	125	2.2k
Daniel W. Lee United States	26	3.4k 2.3×	933 1.8×	1.0k 2.3×	937 2.2×	376 0.9×	60	4.7k
Jennifer N. Brudno United States	19	2.9k 2.0×	877 1.7×	1.0k 2.3×	928 2.2×	89 0.2×	28	3.5k
Jonathan D. Schoenfeld United States	32	2.6k 1.7×	277 0.5×	644 1.4×	951 2.2×	1.2k 2.9×	139	4.1k
Olalekan O. Oluwole United States	25	2.1k 1.4×	393 0.8×	604 1.4×	508 1.2×	46 0.1×	154	2.4k
Bijal Shah United States	26	1.4k 1.0×	153 0.3×	649 1.5×	270 0.6×	140 0.3×	232	2.6k
Bhagirathbhai Dholaria United States	24	1.6k 1.1×	219 0.4×	718 1.6×	728 1.7×	226 0.6×	139	2.5k
Daniel W Lee United States	12	2.3k 1.6×	647 1.3×	638 1.4×	650 1.5×	30 0.1×	12	2.7k
Russell K. Pachynski United States	24	1.3k 0.9×	137 0.3×	542 1.2×	1.4k 3.2×	585 1.5×	104	2.5k
Alfred L. Garfall United States	23	2.0k 1.3×	349 0.7×	1.2k 2.7×	1.3k 3.0×	125 0.3×	108	3.4k

Countries citing papers authored by Suzanne E. Davis

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne E. Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne E. Davis. 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 Suzanne E. Davis. The network helps show where Suzanne E. Davis may publish in the future.

Co-authorship network of co-authors of Suzanne E. Davis

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

All Works

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13 of 13 papers shown

Tang, Chad, Steven I. Sherman, Jun Weng, et al.. (2017). Clinical Trial Characteristics and Barriers to Participant Accrual: The MD Anderson Cancer Center Experience over 30 years, a Historical Foundation for Trial Improvement. Clinical Cancer Research. 23(6). 1414–1421. 27 indexed citations

Neelapu, Sattva S., Sudhakar Tummala, Partow Kebriaei, et al.. (2017). Chimeric antigen receptor T-cell therapy — assessment and management of toxicities. Nature Reviews Clinical Oncology. 15(1). 47–62. 1619 indexed citations breakdown →

Tang, Chad, Kenneth R. Hess, Suzanne E. Davis, et al.. (2016). Modifying the Clinical Research Infrastructure at a Dedicated Clinical Trials Unit: Assessment of Trial Development, Activation, and Participant Accrual. Clinical Cancer Research. 23(6). 1407–1413. 9 indexed citations

Tam, Alda L., Howard J. Lim, Ignacio I. Wistuba, et al.. (2015). Image-Guided Biopsy in the Era of Personalized Cancer Care: Proceedings from the Society of Interventional Radiology Research Consensus Panel. Journal of Vascular and Interventional Radiology. 27(1). 8–19. 72 indexed citations

Tsao, Anne S., Suyu Liu, J. Jack Lee, et al.. (2013). Clinical and Biomarker Outcomes of the Phase II Vandetanib Study from the BATTLE Trial. Journal of Thoracic Oncology. 8(5). 658–661. 19 indexed citations

Papadimitrakopoulou, Vassiliki A., Ignacio I. Wistuba, J. Jack Lee, et al.. (2013). BATTLE-2 program: A biomarker-integrated targeted therapy study in previously treated patients with advanced non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 31(15_suppl). TPS8118–TPS8118. 3 indexed citations

Tsao, Anne S., Suyu Liu, J. Jack Lee, et al.. (2012). Clinical Outcomes and Biomarker Profiles of Elderly Pretreated NSCLC Patients from the BATTLE Trial. Journal of Thoracic Oncology. 7(11). 1645–1652. 15 indexed citations

Beaulieu, Luc, Åsa Carlsson Tedgren, Jean‐François Carrier, et al.. (2011). SU‐E‐T‐701: Guidance for Early Adoption of Model‐Based Dose Calculation Algorithms in Brachytherapy: Progress Report from AAPM Task Group 186. Medical Physics. 38(6Part21). 3651–3651. 1 indexed citations

Wistuba, Ignacio I., Juri G. Gelovani, Jörg J. Jacoby, Suzanne E. Davis, & Roy S. Herbst. (2011). Methodological and practical challenges for personalized cancer therapies. Nature Reviews Clinical Oncology. 8(3). 135–141. 143 indexed citations

10.

Puvabanditsin, Surasak, et al.. (2008). Fracture of a Broviac catheter in a low-birth-weight infant.. PubMed. 14(5). 411–3. 1 indexed citations

11.

Forster, H. V., Paul Martino, Matt Hodges, et al.. (2007). The Carotid Chemoreceptors are a Major Determinant of Ventilatory CO2 Sensitivity and of PaCO2 During Eupneic Breathing. Advances in experimental medicine and biology. 605. 322–326. 39 indexed citations

12.

Hanania, Nicola A., Patrick Darken, Donald H. Horstman, et al.. (2003). The Efficacy and Safety of Fluticasone Propionate (250 μg)/Salmeterol (50 μg) Combined in the Diskus Inhaler for the Treatment of COPD. CHEST Journal. 124(3). 834–843. 265 indexed citations

13.

Davis, Suzanne E. & Denisse R. Thompson. (1998). Algebra for All: To Encourage “Algebra for All,” Start an Algebra Network. Mathematics Teacher Learning and Teaching PK-12. 91(4). 282–365. 1 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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