Daniel Greene

5.6k total citations · 1 hit paper
42 papers, 1.1k citations indexed

About

Daniel Greene is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Daniel Greene has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 11 papers in Surgery and 9 papers in Molecular Biology. Recurrent topics in Daniel Greene's work include Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (8 papers) and Kidney Stones and Urolithiasis Treatments (7 papers). Daniel Greene is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (8 papers) and Kidney Stones and Urolithiasis Treatments (7 papers). Daniel Greene collaborates with scholars based in United States, United Kingdom and Egypt. Daniel Greene's co-authors include Sherif Halawa, Ernest Turro, Sylvia Richardson, Kate Flint, Carol S. Dweck, Christopher Hulleman, Cintia Hinojosa, David S. Yeager, J. O’Brien and Barbara Schneider and has published in prestigious journals such as Nucleic Acids Research, Blood and Bioinformatics.

In The Last Decade

Daniel Greene

38 papers receiving 1.1k citations

Hit Papers

Using design thinking to improve psychological interventi... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Greene United States 13 258 250 216 207 159 42 1.1k
Florence Dumas France 18 460 1.8× 341 1.4× 164 0.8× 238 1.1× 27 0.2× 37 1.4k
Catharina M.P. Vos Netherlands 13 167 0.6× 78 0.3× 54 0.3× 141 0.7× 14 0.1× 15 1.6k
Christina Vogt Norway 14 60 0.2× 62 0.2× 50 0.2× 197 1.0× 21 0.1× 36 807
Maryam Hussain United States 12 401 1.6× 129 0.5× 57 0.3× 137 0.7× 32 0.2× 51 1.1k
Seyoung Lee South Korea 23 208 0.8× 54 0.2× 60 0.3× 61 0.3× 34 0.2× 79 1.5k
Chun‐Yen Tsai Taiwan 16 63 0.2× 34 0.1× 54 0.3× 421 2.0× 186 1.2× 56 1.1k
Ilaria Castelli Italy 26 388 1.5× 200 0.8× 47 0.2× 182 0.9× 5 0.0× 111 2.3k
Keiichi Kobayashi Japan 21 40 0.2× 234 0.9× 49 0.2× 356 1.7× 25 0.2× 95 1.4k
Qian Xu United States 24 115 0.4× 42 0.2× 16 0.1× 149 0.7× 18 0.1× 75 1.9k

Countries citing papers authored by Daniel Greene

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Greene. A scholar is included among the top collaborators of Daniel Greene 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 Daniel Greene. Daniel Greene 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.
Greene, Daniel, David A. Relman, & Megan J. Palmer. (2025). Unmet Expectations: Life Scientists’ Views on Biorisk and Responsibility. Applied Biosafety. 30(2). 112–123.
2.
Greene, Daniel, et al.. (2024). Characterizing the Private Sector in US Human Pathogen Research. Health Security. 22(5). 402–407. 1 indexed citations
3.
Greene, Daniel, et al.. (2023). The security mindset: characteristics, development, and consequences. Research Publications (Maastricht University). 9(1). 7 indexed citations
4.
Greene, Daniel, Megan J. Palmer, & David A. Relman. (2023). Motivating Proactive Biorisk Management. Health Security. 21(1). 46–60. 5 indexed citations
5.
Ratnaike, Thiloka, Daniel Greene, Wei Wei, et al.. (2021). MitoPhen database: a human phenotype ontology-based approach to identify mitochondrial DNA diseases. Nucleic Acids Research. 49(17). 9686–9695. 22 indexed citations
6.
Dai, Charles S., Vishnu Ganesan, Yaw A. Nyame, et al.. (2019). Older Age at Diagnosis and Initial Disease Volume Predict Grade Reclassification Risk on Confirmatory Biopsy in Patients Considered for Active Surveillance. Urology. 130. 106–112. 4 indexed citations
7.
Nyame, Yaw A., Lamont Wilkins, Daniel Greene, et al.. (2019). Assessing the relationship between statin use and oncologic outcomes among men electing active surveillance for localized prostate cancer. Prostate Cancer and Prostatic Diseases. 22(4). 617–623. 2 indexed citations
8.
Dewitt‐Foy, Molly, et al.. (2018). Isolated Right Varicocele and Incidence of Associated Cancer. Urology. 117. 82–85. 8 indexed citations
9.
Wilkins, Lamont, Yaw A. Nyame, Songhua Lin, et al.. (2018). A Contemporary Analysis of Outcomes and Modifiable Risk Factors of Ethnic Disparities in Kidney Transplantation. Journal of the National Medical Association. 111(2). 202–209. 8 indexed citations
10.
Ganesan, Vishnu, Charles S. Dai, Yaw A. Nyame, et al.. (2017). Prognostic Significance of a Negative Confirmatory Biopsy on Reclassification Among Men on Active Surveillance. Urology. 107. 184–189. 8 indexed citations
11.
Greene, Daniel, Bradley C. Gill, & Daniel A. Shoskes. (2017). Postoperative Urinary Tract Infection in a Patient With Iatrogenic Glucosuria. Urology. 109. 3–5. 1 indexed citations
12.
Greene, Daniel, Bradley C. Gill, Bryan Hinck, et al.. (2017). American Urological Association Antibiotic Best Practice Statement and Ureteroscopy: Does Antibiotic Stewardship Help?. Journal of Endourology. 32(4). 283–288. 15 indexed citations
13.
Kara, Önder, Ahmed Elshafei, Yaw A. Nyame, et al.. (2016). The nomogram conundrum: a demonstration of why a prostate cancer risk model in Turkish men underestimates prostate cancer risk in the USA. International Urology and Nephrology. 48(10). 1623–1629. 1 indexed citations
14.
Yeager, David S., Carissa Romero, Dave Paunesku, et al.. (2016). Using design thinking to improve psychological interventions: The case of the growth mindset during the transition to high school.. Journal of Educational Psychology. 108(3). 374–391. 473 indexed citations breakdown →
15.
Greene, Daniel, Sylvia Richardson, & Ernest Turro. (2016). Phenotype Similarity Regression for Identifying the Genetic Determinants of Rare Diseases. The American Journal of Human Genetics. 98(3). 490–499. 36 indexed citations
16.
Nyame, Yaw A., et al.. (2015). Robotic Anterior Pelvic Exenteration for Bladder Cancer in Patient With Previous Kidney–Pancreas Transplantation. Urology. 90. 200–203. 1 indexed citations
17.
Halawa, Sherif, et al.. (2014). Dropout Prediction in MOOCs using Learner Activity Features. 1. 156 indexed citations
18.
Elia, Maxwell, Michael Kazim, Roman Shinder, et al.. (2013). Spontaneous Subperiosteal Orbital Hemorrhage. Orbit. 32(5). 333–335. 5 indexed citations
19.
Greene, Daniel, et al.. (2011). Comparison of a Reduced Radiation Fluoroscopy Protocol to Conventional Fluoroscopy During Uncomplicated Ureteroscopy. Urology. 78(2). 286–290. 58 indexed citations
20.
Henson, Shandelle M., et al.. (2011). Coping behaviour as an adaptation to stress: post-disturbance preening in colonial seabirds. Journal of Biological Dynamics. 6(1). 17–37. 32 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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