Danielle S. Chun

1.2k total citations
33 papers, 678 citations indexed

About

Danielle S. Chun is a scholar working on Surgery, Oncology and Economics and Econometrics. According to data from OpenAlex, Danielle S. Chun has authored 33 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 7 papers in Oncology and 7 papers in Economics and Econometrics. Recurrent topics in Danielle S. Chun's work include Economic and Financial Impacts of Cancer (5 papers), Spine and Intervertebral Disc Pathology (4 papers) and Shoulder Injury and Treatment (4 papers). Danielle S. Chun is often cited by papers focused on Economic and Financial Impacts of Cancer (5 papers), Spine and Intervertebral Disc Pathology (4 papers) and Shoulder Injury and Treatment (4 papers). Danielle S. Chun collaborates with scholars based in United States, United Kingdom and France. Danielle S. Chun's co-authors include Wellington K. Hsu, Kevin C. Baker, T. Harry, Ryan D. Freshman, Alpesh A. Patel, Andrew D. Schneider, Nikhil N. Verma, Linda I. Suleiman, Shobhit V. Minhas and Brandon J. Erickson and has published in prestigious journals such as Diabetes Care, Journal of Bone and Joint Surgery and Spine.

In The Last Decade

Danielle S. Chun

31 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle S. Chun United States 13 431 221 154 63 58 33 678
Bradley S. Stolshek United States 16 116 0.3× 237 1.1× 49 0.3× 37 0.6× 58 1.0× 44 753
Glenn S. Russo United States 13 391 0.9× 17 0.1× 168 1.1× 85 1.3× 63 1.1× 35 588
Marloes van Onna Netherlands 13 112 0.3× 56 0.3× 52 0.3× 54 0.9× 29 0.5× 34 783
Kevin Wang United States 14 368 0.9× 42 0.2× 59 0.4× 92 1.5× 57 1.0× 92 592
Arjun Gupta United States 13 241 0.6× 28 0.1× 30 0.2× 51 0.8× 77 1.3× 63 631
Andrew D. Spence United Kingdom 15 230 0.5× 45 0.2× 25 0.2× 48 0.8× 61 1.1× 36 643
G A Wells Canada 8 86 0.2× 58 0.3× 32 0.2× 21 0.3× 89 1.5× 9 494
Alı́cia Granados Spain 14 244 0.6× 167 0.8× 31 0.2× 197 3.1× 64 1.1× 34 878
Harold A. Fogel United States 15 346 0.8× 49 0.2× 209 1.4× 19 0.3× 161 2.8× 40 660
Sarah Leyland United Kingdom 7 139 0.3× 279 1.3× 38 0.2× 72 1.1× 34 0.6× 11 467

Countries citing papers authored by Danielle S. Chun

Since Specialization
Citations

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

Fields of papers citing papers by Danielle S. Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle S. Chun. 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 Danielle S. Chun. The network helps show where Danielle S. Chun may publish in the future.

Co-authorship network of co-authors of Danielle S. Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle S. Chun. A scholar is included among the top collaborators of Danielle S. Chun 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 Danielle S. Chun. Danielle S. Chun 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.
Purcell, Kevin, Christian A. Péan, Malcolm R. DeBaun, et al.. (2023). Management of Intraoperative Acetabular Fractures During Total Hip Arthroplasty. Orthopedic Clinics of North America. 55(1). 9–17. 3 indexed citations
2.
Chun, Danielle S., Blánaid Hicks, Sharon Peacock Hinton, et al.. (2022). Comparison of Approaches for Measuring Adherence and Persistence to Oral Oncologic Therapies in Patients Diagnosed with Metastatic Renal Cell Carcinoma. Cancer Epidemiology Biomarkers & Prevention. 31(4). 893–899.
4.
Hicks, Blánaid, et al.. (2021). Patterns of first-line targeted therapy utilization and adherence among older adults diagnosed with metastatic renal cell carcinoma. Journal of Geriatric Oncology. 13(3). 325–333. 2 indexed citations
5.
Chun, Danielle S., et al.. (2021). Racial Disparities in Total Joint Arthroplasty. Current Reviews in Musculoskeletal Medicine. 14(6). 434–440. 51 indexed citations
7.
8.
Chun, Danielle S., Jennifer L. Lund, & Til Stürmer‎. (2019). Pharmacoepidemiology and Drug Safety's special issue on validation studies. Pharmacoepidemiology and Drug Safety. 28(2). 123–125. 8 indexed citations
9.
Chun, Danielle S., et al.. (2019). Prognosis Following Hip Arthroscopy Varies in Professional Athletes Based on Sport. Arthroscopy The Journal of Arthroscopic and Related Surgery. 35(3). 837–837. 25 indexed citations
10.
Chun, Danielle S., Joseph A. Weiner, Michael S. Schallmo, et al.. (2018). Can Surgeon Demographic Factors Predict Postoperative Complication Rates After Elective Spinal Fusion?. Clinical Spine Surgery A Spine Publication. 31(2). 93–97. 5 indexed citations
11.
Weiner, Joseph A., Sohaib Hashmi, Michael S. Schallmo, et al.. (2017). Factors Associated With Financial Relationships Between Spine Surgeons and Industry. Spine. 42(18). 1412–1418. 30 indexed citations
12.
Weiner, Joseph A., et al.. (2017). Effects of Conflicts of Interest on Practice Patterns and Complication Rates in Spine Surgery. Spine. 42(17). 1322–1329. 4 indexed citations
13.
Schallmo, Michael S., Joseph A. Weiner, Danielle S. Chun, et al.. (2017). Do Demographic Factors of Spine Surgeons Affect the Rate at Which Spinal Fusion Is Performed on Patients?. Spine. 42(16). 1261–1266. 7 indexed citations
14.
Yun, Chawon, Joseph A. Weiner, Danielle S. Chun, et al.. (2017). Mechanistic insight into the effects of Aryl Hydrocarbon Receptor activation on osteogenic differentiation. Bone Reports. 6. 51–59. 15 indexed citations
15.
Hull, Leland E., Julie A. Lynch, Brygida Berse, et al.. (2017). Clinical Impact of 21-Gene Recurrence Score Test Within the Veterans Health Administration: Utilization and Receipt of Guideline-Concordant Care. Clinical Breast Cancer. 18(2). 135–143. 3 indexed citations
16.
Chun, Danielle S., Brygida Berse, Vickie L. Venne, et al.. (2016). BRCA testing within the Department of Veterans Affairs: concordance with clinical practice guidelines. Familial Cancer. 16(1). 41–49. 13 indexed citations
17.
Casey, Ellen, et al.. (2016). Influence of Menstrual Cycle and Oral Contraceptive Phase on Spinal Excitability. PM&R. 8(9). 860–868. 12 indexed citations
18.
Lynch, Julie A., Brygida Berse, Danielle S. Chun, et al.. (2016). Epidermal Growth Factor Receptor Mutational Testing and Erlotinib Treatment Among Veterans Diagnosed With Lung Cancer in the United States Department of Veterans Affairs. Clinical Lung Cancer. 18(4). 401–409. 10 indexed citations
19.
DuVall, Scott L., Kevin A. Brown, Linda Nici, et al.. (2015). Incidence and Predictors of Hospital Readmission Among Patients With Chronic Obstructive Pulmonary Disease in the Department of Veterans Affairs. CHEST Journal. 148(4). 684A–684A. 1 indexed citations
20.
Chun, Danielle S., Kevin C. Baker, & Wellington K. Hsu. (2015). Lumbar pseudarthrosis: a review of current diagnosis and treatment. Neurosurgical FOCUS. 39(4). E10–E10. 128 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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