Benjamin Neely

1.5k total citations · 1 hit paper
20 papers, 1.0k citations indexed

About

Benjamin Neely is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Internal Medicine. According to data from OpenAlex, Benjamin Neely has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 9 papers in Surgery and 2 papers in Internal Medicine. Recurrent topics in Benjamin Neely's work include Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Acute Myocardial Infarction Research (8 papers) and Lipoproteins and Cardiovascular Health (6 papers). Benjamin Neely is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Acute Myocardial Infarction Research (8 papers) and Lipoproteins and Cardiovascular Health (6 papers). Benjamin Neely collaborates with scholars based in United States, Canada and New Zealand. Benjamin Neely's co-authors include Michael Pencina, Eric D. Peterson, Allan D. Sniderman, Ralph B. D’Agostino, Ann Marie Navar‐Boggan, Ken Williams, Megan L. Neely, Andy Peytchev, G. Michael Felker and Christopher M. O’Connor and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Benjamin Neely

20 papers receiving 990 citations

Hit Papers

Application of New Cholesterol Guidelines to a Population... 2014 2026 2018 2022 2014 100 200 300 400
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.

  1. Application of New Cholesterol Guidelines to a Population-Based Sample
    2014 467 citations Michael Pencina, Ann Marie Navar‐Boggan et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Neely United States 9 512 373 257 198 89 20 1.0k
Irfan Khan United States 14 580 1.1× 233 0.6× 289 1.1× 201 1.0× 80 0.9× 40 1.0k
Amy W. Pollak United States 15 647 1.3× 357 1.0× 140 0.5× 202 1.0× 79 0.9× 24 1.3k
Željko Reiner Croatia 11 655 1.3× 265 0.7× 192 0.7× 347 1.8× 93 1.0× 28 990
Binh An P. Phan United States 14 469 0.9× 307 0.8× 98 0.4× 165 0.8× 92 1.0× 24 938
Sondra M. DePalma United States 6 733 1.4× 282 0.8× 359 1.4× 267 1.3× 33 0.4× 13 986
Karen A. Grace United States 10 584 1.1× 400 1.1× 281 1.1× 479 2.4× 66 0.7× 15 1.5k
David Colquhoun Australia 11 631 1.2× 341 0.9× 129 0.5× 341 1.7× 83 0.9× 16 1.1k
Anandita Agarwala United States 18 588 1.1× 445 1.2× 128 0.5× 369 1.9× 148 1.7× 59 1.2k
Farhad Zangeneh United States 10 491 1.0× 250 0.7× 122 0.5× 452 2.3× 83 0.9× 17 994
Aldona Kubica Poland 23 438 0.9× 769 2.1× 170 0.7× 210 1.1× 54 0.6× 110 1.6k

Countries citing papers authored by Benjamin Neely

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Neely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Neely

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Neely. A scholar is included among the top collaborators of Benjamin Neely 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 Benjamin Neely. Benjamin Neely 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.
Neely, Benjamin, et al.. (2022). Design and Evaluation of a Computational Phenotype to Identify Patients With Metastatic Breast Cancer Within the Electronic Health Record. JCO Clinical Cancer Informatics. 6(6). e2200056–e2200056. 1 indexed citations
2.
Zullig, Leah L., Benjamin Neely, Terry Hyslop, et al.. (2021). Low-touch, team-based care for co-morbidity management in cancer patients: the ONE TEAM randomized controlled trial. BMC Family Practice. 22(1). 234–234. 6 indexed citations
3.
White, Michelle J., Julia C. Schechter, Benjamin Neely, et al.. (2021). Parenting Stress, Child Weight-Related Behaviors, and Child Weight Status. Childhood Obesity. 18(3). 150–159. 3 indexed citations
4.
Grimm, Lars J., Benjamin Neely, Rui Hou, et al.. (2020). Mixed-Methods Study to Predict Upstaging of DCIS to Invasive Disease on Mammography. American Journal of Roentgenology. 216(4). 903–911. 7 indexed citations
5.
Kamal, Arif H., et al.. (2017). One Size Does Not Fit All: Disease Profiles of Serious Illness Patients Receiving Specialty Palliative Care. Journal of Pain and Symptom Management. 54(4). 476–483. 7 indexed citations
6.
Alfredsson, Joakim, Benjamin Neely, Megan L. Neely, et al.. (2017). Predicting the risk of bleeding during dual antiplatelet therapy after acute coronary syndromes. Heart. 103(15). 1168–1176. 27 indexed citations
7.
Lópes, Renato D., Sergio Leonardi, Benjamin Neely, et al.. (2016). Spontaneous MI After Non–ST-Segment Elevation Acute Coronary Syndrome Managed Without Revascularization. Journal of the American College of Cardiology. 67(11). 1289–1297. 12 indexed citations
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Chin, Chee Tang, Benjamin Neely, E. Magnus Ohman, et al.. (2016). Time-Varying Effects of Prasugrel Versus Clopidogrel on the Long-Term Risks of Stroke After Acute Coronary Syndromes. Stroke. 47(4). 1135–1139. 7 indexed citations
10.
Chin, Chee Tang, William E. Boden, Matthew T. Roe, et al.. (2016). Effect of prior clopidogrel use on outcomes in medically managed acute coronary syndrome patients. Heart. 102(15). 1221–1229. 2 indexed citations
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Navar‐Boggan, Ann Marie, Eric D. Peterson, Ralph B. D’Agostino, et al.. (2015). Hyperlipidemia in Early Adulthood Increases Long-Term Risk of Coronary Heart Disease. Circulation. 131(5). 451–458. 276 indexed citations
14.
15.
Pencina, Michael, Ann Marie Navar‐Boggan, Ralph B. D’Agostino, et al.. (2014). Application of New Cholesterol Guidelines to a Population-Based Sample. New England Journal of Medicine. 370(15). 1422–1431. 467 indexed citations breakdown →
16.
Ahmad, Tariq, Mona Fiuzat, Benjamin Neely, et al.. (2014). Biomarkers of Myocardial Stress and Fibrosis as Predictors of Mode of Death in Patients With Chronic Heart Failure. JACC Heart Failure. 2(3). 260–268. 105 indexed citations
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Cornel, Jan H., E. Magnus Ohman, Benjamin Neely, et al.. (2013). IMPACT OF SMOKING STATUS ON CLINICAL OUTCOMES WITH PRASUGREL VERSUS CLOPIDOGREL IN PATIENTS WITH ACUTE CORONARY SYNDROMES MANAGED WITHOUT revascularization: INSIGHTS FROM THE TRILOGY ACS TRIAL. Journal of the American College of Cardiology. 61(10). E159–E159. 3 indexed citations
20.
Peytchev, Andy & Benjamin Neely. (2013). RDD Telephone Surveys. Public Opinion Quarterly. 77(1). 283–304. 19 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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