Joseph Lipscomb

821 total citations
16 papers, 534 citations indexed

About

Joseph Lipscomb is a scholar working on Oncology, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Joseph Lipscomb has authored 16 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Economics and Econometrics and 3 papers in General Health Professions. Recurrent topics in Joseph Lipscomb's work include Global Cancer Incidence and Screening (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Economic and Financial Impacts of Cancer (6 papers). Joseph Lipscomb is often cited by papers focused on Global Cancer Incidence and Screening (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Economic and Financial Impacts of Cancer (6 papers). Joseph Lipscomb collaborates with scholars based in United States, Italy and France. Joseph Lipscomb's co-authors include Carolyn Gotay, Claire Snyder, Theresa Gillespie, David B. Matchar, E.Z. Oddone, Ronnie D. Horner, Jeff Whittle, Robert P. Heaney, Leigh J. Passman and Lauren M. McIntyre and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and CA A Cancer Journal for Clinicians.

In The Last Decade

Joseph Lipscomb

16 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joseph Lipscomb United States	8	286	142	109	94	82	16	534
Massimo Ambroggi Italy	8	348 1.2×	106 0.7×	183 1.7×	121 1.3×	87 1.1×	14	609
Brandy Peaker United States	7	480 1.7×	85 0.6×	162 1.5×	115 1.2×	86 1.0×	7	680
Amy R. MacKenzie United States	13	243 0.8×	122 0.9×	108 1.0×	186 2.0×	68 0.8×	32	709
Anita O’Donovan Ireland	14	325 1.1×	142 1.0×	151 1.4×	165 1.8×	90 1.1×	38	806
Jennifer A. Schlichting United States	13	367 1.3×	132 0.9×	88 0.8×	126 1.3×	83 1.0×	22	722
Clark DuMontier United States	16	241 0.8×	156 1.1×	134 1.2×	141 1.5×	82 1.0×	62	890
Efstathios Zikos Belgium	11	390 1.4×	75 0.5×	179 1.6×	99 1.1×	104 1.3×	17	622
Laura Zavala United States	7	295 1.0×	141 1.0×	160 1.5×	135 1.4×	64 0.8×	10	713
Linda Alley United States	9	282 1.0×	115 0.8×	96 0.9×	77 0.8×	37 0.5×	11	527
M. Victoria Greenslade United Kingdom	4	477 1.7×	81 0.6×	99 0.9×	95 1.0×	86 1.0×	8	628

Countries citing papers authored by Joseph Lipscomb

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Lipscomb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Lipscomb

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Guan, Yue, Regine Haardörfer, Colleen M. McBride, Joseph Lipscomb, & Cam Escoffery. (2022). Factors Associated with Mammography Screening Choices by Women Aged 40–49 at Average Risk. Journal of Women s Health. 31(8). 1120–1126. 5 indexed citations

2.

Shih, Ya‐Chen Tina, Lindsay M. Sabik, Natasha K. Stout, et al.. (2022). Health Economics Research in Cancer Screening: Research Opportunities, Challenges, and Future Directions. JNCI Monographs. 2022(59). 42–50. 8 indexed citations

3.

Mukamel, Dana B., Lari Wenzel, Laura J. Havrilesky, et al.. (2017). Variations in patient preferences over side effects of treatments for ovarian cancer: Baseline results of a randomized controlled clinical trial. Gynecologic Oncology. 145. 26–27. 1 indexed citations

4.

Wenzel, Lari, Dana B. Mukamel, Kathryn Osann, et al.. (2017). Shared decision-making in ovarian cancer.. Journal of Clinical Oncology. 35(15_suppl). 5549–5549. 1 indexed citations

5.

Kimmick, Gretchen, Fabian Camacho, Heath B. Mackley, et al.. (2015). Individual, Area, and Provider Characteristics Associated With Care Received for Stages I to III Breast Cancer in a Multistate Region of Appalachia. Journal of Oncology Practice. 11(1). e9–e18. 13 indexed citations

6.

Colbert, Lauren E., William A. Hall, Dana Nickleach, et al.. (2014). Chemoradiation therapy sequencing for resected pancreatic adenocarcinoma in the National Cancer Data Base. Cancer. 120(4). 499–506. 37 indexed citations

7.

Lipscomb, Joseph, K. Robin Yabroff, Mark C. Hornbrook, et al.. (2013). Comparing Cancer Care, Outcomes, and Costs Across Health Systems: Charting the Course. JNCI Monographs. 2013(46). 124–130. 27 indexed citations

8.

Gillespie, Theresa, John A. Petros, Michael Goodman, et al.. (2013). Factors impacting decision by African American and underserved populations to choose active surveillance in early-stage prostate cancer.. Journal of Clinical Oncology. 31(15_suppl). 5067–5067. 2 indexed citations

9.

Lipscomb, Joseph, Kevin C. Ward, Kathleen Adams, et al.. (2013). Augmenting state cancer registry data for quality-of-care assessment: A Georgia-based application to evaluate receipt of adjuvant therapies for breast cancer and colorectal cancer.. Journal of Clinical Oncology. 31(15_suppl). 6523–6523. 1 indexed citations

10.

Lipscomb, Joseph, Kevin C. Ward, Kathleen Adams, et al.. (2013). Augmenting state cancer registry data for quality-of-care assessment: A Georgia-based application to evaluate receipt of adjuvant therapies for breast cancer and colorectal cancer.. Journal of Clinical Oncology. 31(31_suppl). 5–5. 2 indexed citations

11.

Stokes, Michael E., Catherine E. Muehlenbein, Martin Marciniak, et al.. (2009). Neutropenia-Related Costs in Patients Treated with First-Line Chemotherapy for Advanced Non-Small Cell Lung Cancer. Journal of Managed Care Pharmacy. 15(8). 669–682. 47 indexed citations

12.

Bian, John, Joseph Lipscomb, & Michelle M. Mello. (2009). Spillover Effects of State Mandated Benefit Laws: The Case of Outpatient Breast Cancer Surgery. INQUIRY The Journal of Health Care Organization Provision and Financing. 46(4). 433–447. 6 indexed citations

13.

Lipscomb, Joseph, Carolyn Gotay, & Claire Snyder. (2007). Patient-reported Outcomes in Cancer: A Review of Recent Research and Policy Initiatives. CA A Cancer Journal for Clinicians. 57(5). 278–300. 256 indexed citations

14.

Ayanian, John Z., Elizabeth A. Chrischilles, R Wallace, et al.. (2004). Understanding Cancer Treatment and Outcomes. 5 indexed citations

15.

Lipscomb, Joseph. (2004). Outcomes Assessment in Cancer. 60 indexed citations

16.

Oddone, E.Z., Ronnie D. Horner, Joseph Lipscomb, et al.. (1998). Understanding racial variation in the use of carotid endarterectomy: the role of aversion to surgery.. PubMed. 90(1). 25–33. 63 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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