Daniel P. McKellar

1.8k total citations · 1 hit paper
25 papers, 1.3k citations indexed

About

Daniel P. McKellar is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel P. McKellar has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 6 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel P. McKellar's work include Global Cancer Incidence and Screening (8 papers), Economic and Financial Impacts of Cancer (6 papers) and Colorectal Cancer Screening and Detection (5 papers). Daniel P. McKellar is often cited by papers focused on Global Cancer Incidence and Screening (8 papers), Economic and Financial Impacts of Cancer (6 papers) and Colorectal Cancer Screening and Detection (5 papers). Daniel P. McKellar collaborates with scholars based in United States. Daniel P. McKellar's co-authors include David P. Winchester, Bryan E. Palis, Lawrence N. Shulman, Ashley Loomis, Katherine Mallin, Greer Gay, Daniel J. Boffa, Matthew A. Facktor, Donna M. Gress and Joshua E. Rosen and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Annals of Surgery.

In The Last Decade

Daniel P. McKellar

25 papers receiving 1.3k citations

Hit Papers

Using the National Cancer Database for Outcomes Research 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. McKellar United States 13 618 494 470 166 129 25 1.3k
Matthew A. Facktor United States 12 687 1.1× 554 1.1× 499 1.1× 204 1.2× 179 1.4× 21 1.5k
Cyrus A. Kotwall United States 20 596 1.0× 467 0.9× 641 1.4× 176 1.1× 47 0.4× 39 1.3k
Haejin In United States 16 466 0.8× 486 1.0× 542 1.2× 151 0.9× 42 0.3× 66 1.1k
Sharon S. Lum United States 22 637 1.0× 301 0.6× 392 0.8× 364 2.2× 62 0.5× 102 1.4k
Marloes A.G. Elferink Netherlands 23 1.3k 2.1× 419 0.8× 665 1.4× 163 1.0× 73 0.6× 66 1.7k
María Eberg Canada 14 341 0.6× 339 0.7× 230 0.5× 203 1.2× 70 0.5× 32 1.0k
Pamela Crilley United States 20 622 1.0× 373 0.8× 149 0.3× 241 1.5× 59 0.5× 69 1.8k
Felice N. van Erning Netherlands 23 997 1.6× 416 0.8× 597 1.3× 125 0.8× 34 0.3× 90 1.5k
Jennifer LaFemina United States 17 597 1.0× 253 0.5× 564 1.2× 139 0.8× 38 0.3× 44 1.0k
J. Alejandro Rauh‐Hain United States 30 508 0.8× 244 0.5× 676 1.4× 147 0.9× 46 0.4× 90 2.3k

Countries citing papers authored by Daniel P. McKellar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. McKellar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel P. McKellar

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. McKellar. A scholar is included among the top collaborators of Daniel P. McKellar 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 P. McKellar. Daniel P. McKellar 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
2.
Snyder, Rebecca A., Chung-Yuan Hu, Amanda B. Francescatti, et al.. (2018). Association Between Intensity of Posttreatment Surveillance Testing and Detection of Recurrence in Patients With Colorectal Cancer. JAMA. 319(20). 2104–2104. 71 indexed citations
3.
Neuman, Heather B., Jessica R. Schumacher, Amanda B. Francescatti, et al.. (2018). Risk of Synchronous Distant Recurrence at Time of Locoregional Recurrence in Patients With Stage II and III Breast Cancer (AFT-01). Journal of Clinical Oncology. 36(10). 975–980. 15 indexed citations
4.
Adesoye, Taiwo, Jessica R. Schumacher, Heather B. Neuman, et al.. (2018). Use of Breast Imaging After Treatment for Locoregional Breast Cancer (AFT-01). Annals of Surgical Oncology. 25(6). 1502–1511. 3 indexed citations
5.
McMurry, Timothy L., George J. Stukenborg, Larry G. Kessler, et al.. (2018). More Frequent Surveillance Following Lung Cancer Resection Is Not Associated With Improved Survival. Annals of Surgery. 268(4). 632–639. 23 indexed citations
6.
Boffa, Daniel J., Joshua E. Rosen, Katherine Mallin, et al.. (2017). Using the National Cancer Database for Outcomes Research. JAMA Oncology. 3(12). 1722–1722. 846 indexed citations breakdown →
7.
Schumacher, Jessica R., Heather B. Neuman, Ying Zhang, et al.. (2017). Asymptomatic distant recurrence detection and survival in early stage breast cancer: A nationally representative study.. Journal of Clinical Oncology. 35(15_suppl). 6520–6520. 1 indexed citations
8.
Wong, Melisa L., Timothy L. McMurry, George J. Stukenborg, et al.. (2016). Impact of age and comorbidity on treatment of non-small cell lung cancer recurrence following complete resection: A nationally representative cohort study. Lung Cancer. 102. 108–117. 48 indexed citations
9.
Shulman, Lawrence N., Ryan McCabe, Greer Gay, Bryan E. Palis, & Daniel P. McKellar. (2015). Building Data Infrastructure to Evaluate and Improve Quality: The National Cancer Data Base and the Commission on Cancer's Quality Improvement Programs. Journal of Oncology Practice. 11(3). 209–212. 8 indexed citations
10.
McNamara, Erica J., et al.. (2014). The role of the American College of Surgeons' cancer program accreditation in influencing oncologic outcomes. Journal of Surgical Oncology. 110(5). 611–615. 20 indexed citations
11.
Chang, George J., Caprice C. Greenberg, Benjamin D. Kozower, et al.. (2014). NCDB and ACS-CRP: Working together to develop risk-stratified strategies for surveillance.. PubMed. 99(8). 57–8. 2 indexed citations
12.
McKellar, Daniel P. & Heidi D Nelson. (2013). American College of Surgeons Commission on Cancer Rapid Quality Reporting System: from quality measurement to quality improvement.. PubMed. 98(9). 52–3. 3 indexed citations
13.
Fox, Justin P., et al.. (2008). Recurrence of Primary Breast Lymphoma in Contralateral Breast: Case Report and Review of the Literature. Journal of surgical education. 65(5). 364–366. 2 indexed citations
14.
Eiseman, Ben, et al.. (1999). Prognosis and Outcomes in Surgical Disease. 1 indexed citations
15.
Bhutani, Manoop S., et al.. (1997). Intraoperative Endoscopic Ultrasonography in Zollinger-Ellison Syndrome. Endoscopy. 29(8). 754–756. 4 indexed citations
16.
Flach, John M., et al.. (1996). Human Performance in Minimally Invasive Surgery. Journal of Bioresource Management. 3–6. 1 indexed citations
17.
McKellar, Daniel P., et al.. (1995). Cost-effectiveness of laparoscopic cholecystectomy. Surgical Endoscopy. 9(2). 158–163. 21 indexed citations
18.
McKellar, Daniel P., et al.. (1994). Superior vena cava syndrome and tracheal obstruction due to multinodular goiter. Head & Neck. 16(1). 72–74. 18 indexed citations
19.
McKellar, Daniel P., et al.. (1992). Cholecystectomy during pregnancy without fetal loss.. PubMed. 174(6). 465–8. 74 indexed citations
20.
McKellar, Daniel P., et al.. (1987). Gut-liver interaction in glutamine homeostasis: portal ammonia role in uptake and metabolism. American Journal of Physiology-Endocrinology and Metabolism. 252(6). E746–E750. 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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