Lisa F. Newcomb

2.3k total citations
37 papers, 900 citations indexed

About

Lisa F. Newcomb is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Lisa F. Newcomb has authored 37 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pulmonary and Respiratory Medicine, 10 papers in Oncology and 9 papers in Surgery. Recurrent topics in Lisa F. Newcomb's work include Prostate Cancer Diagnosis and Treatment (29 papers), Prostate Cancer Treatment and Research (26 papers) and Bladder and Urothelial Cancer Treatments (8 papers). Lisa F. Newcomb is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (29 papers), Prostate Cancer Treatment and Research (26 papers) and Bladder and Urothelial Cancer Treatments (8 papers). Lisa F. Newcomb collaborates with scholars based in United States, Canada and South Africa. Lisa F. Newcomb's co-authors include Peter R. Carroll, James D. Brooks, Daniel W. Lin, Peter S. Nelson, Martin Gleave, Ian M. Thompson, Andrew A. Wagner, Yingye Zheng, Matthew R. Cooperberg and Ziding Feng and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Annals of Internal Medicine.

In The Last Decade

Lisa F. Newcomb

35 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa F. Newcomb United States	18	583	231	161	145	133	37	900
Kathleen G Loveland United States	8	1.1k 2.0×	256 1.1×	190 1.2×	129 0.9×	67 0.5×	9	1.4k
Adib Younus United States	7	1.0k 1.8×	341 1.5×	145 0.9×	549 3.8×	22 0.2×	10	1.2k
Jimmy Park United States	4	788 1.4×	284 1.2×	97 0.6×	441 3.0×	17 0.1×	7	912
Diana B. Cherbavaz United States	16	704 1.2×	373 1.6×	172 1.1×	838 5.8×	22 0.2×	33	1.6k
Martin Boegemann Germany	19	1.2k 2.0×	228 1.0×	147 0.9×	388 2.7×	49 0.4×	90	1.4k
Marné J. Carmichael United States	11	1.1k 2.0×	305 1.3×	216 1.3×	285 2.0×	24 0.2×	13	1.5k
Peter F.A. Mulders Netherlands	22	1.5k 2.6×	567 2.5×	179 1.1×	584 4.0×	58 0.4×	43	1.9k
Jack Groskopf United States	17	2.0k 3.4×	804 3.5×	282 1.8×	880 6.1×	93 0.7×	44	2.4k
Corinna Wittmer Germany	18	602 1.0×	392 1.7×	110 0.7×	193 1.3×	20 0.2×	28	984
Alexander B. Stillebroer Netherlands	14	731 1.3×	482 2.1×	97 0.6×	303 2.1×	13 0.1×	25	1.1k

Countries citing papers authored by Lisa F. Newcomb

Since Specialization

Citations

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

Fields of papers citing papers by Lisa F. Newcomb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa F. Newcomb. 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 Lisa F. Newcomb. The network helps show where Lisa F. Newcomb may publish in the future.

Co-authorship network of co-authors of Lisa F. Newcomb

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

All Works

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20 of 20 papers shown

Cheng, Heather H., Daniel J. Lee, Michael A. Liss, et al.. (2024). Prostate screening for men with inherited risk of developing aggressive prostate cancer: The PATROL study.. Journal of Clinical Oncology. 42(4_suppl). TPS357–TPS357.

Newcomb, Lisa F., Jeannette M. Schenk, Yingye Zheng, et al.. (2024). Long-Term Outcomes in Patients Using Protocol-Directed Active Surveillance for Prostate Cancer. JAMA. 331(24). 2084–2084. 22 indexed citations

Dong, Xinyuan, Yingye Zheng, Daniel W. Lin, Lisa F. Newcomb, & Ying‐Qi Zhao. (2023). Constructing Time-Invariant Dynamic Surveillance Rules for Optimal Monitoring Schedules. Biometrics. 79(4). 3895–3906.

Zhu, Kehao, Yingye Zheng, Lisa F. Newcomb, et al.. (2021). Treatment in the absence of disease reclassification among men on active surveillance for prostate cancer. Cancer. 128(2). 269–274. 5 indexed citations

Jiang, Da, Jeannette M. Schenk, Nicholas H. Chakiryan, et al.. (2021). MP28-12 LOWER URINARY TRACT SYMPTOMS AND UTILIZATION OF BLADDER OUTLET PROCEDURES IN PATIENTS WITH PROSTATE CANCER ON ACTIVE SURVEILLANCE. The Journal of Urology. 206(Supplement 3). 1 indexed citations

Cooperberg, Matthew R., Janet E. Cowan, Karla Lindquist, et al.. (2020). Multiple Tissue Biomarkers Independently and Additively Predict Prostate Cancer Pathology Outcomes. European Urology. 79(1). 141–149. 7 indexed citations

Schenk, Jeannette M., Lisa F. Newcomb, Yingye Zheng, et al.. (2019). African American Race is Not Associated with Risk of Reclassification during Active Surveillance: Results from the Canary Prostate Cancer Active Surveillance Study. The Journal of Urology. 203(4). 727–733. 25 indexed citations

Newcomb, Lisa F., Yingye Zheng, Anna Faino, et al.. (2019). Performance of PCA3 and TMPRSS2:ERG urinary biomarkers in prediction of biopsy outcome in the Canary Prostate Active Surveillance Study (PASS). Prostate Cancer and Prostatic Diseases. 22(3). 438–445. 27 indexed citations

Cooperberg, Matthew R., James D. Brooks, Anna Faino, et al.. (2018). Refined Analysis of Prostate-specific Antigen Kinetics to Predict Prostate Cancer Active Surveillance Outcomes. European Urology. 74(2). 211–217. 36 indexed citations

10.

Kearns, James T., Anna Faino, Lisa F. Newcomb, et al.. (2018). Role of Surveillance Biopsy with No Cancer as a Prognostic Marker for Reclassification: Results from the Canary Prostate Active Surveillance Study. European Urology. 73(5). 706–712. 14 indexed citations

11.

Lin, Daniel W., Lisa F. Newcomb, Marshall Brown, et al.. (2016). Evaluating the Four Kallikrein Panel of the 4Kscore for Prediction of High-grade Prostate Cancer in Men in the Canary Prostate Active Surveillance Study. European Urology. 72(3). 448–454. 63 indexed citations

12.

Liss, Michael A., Jeannette M. Schenk, Anna Faino, et al.. (2016). A diagnosis of prostate cancer and pursuit of active surveillance is not followed by weight loss: potential for a teachable moment. Prostate Cancer and Prostatic Diseases. 19(4). 390–394. 6 indexed citations

13.

Macleod, Liam C., William J. Ellis, Lisa F. Newcomb, et al.. (2016). Timing of Adverse Prostate Cancer Reclassification on First Surveillance Biopsy: Results from the Canary Prostate Cancer Active Surveillance Study. The Journal of Urology. 197(4). 1026–1033. 11 indexed citations

14.

Ankerst, Donna P., Jing Xia, Ian M. Thompson, et al.. (2015). Precision Medicine in Active Surveillance for Prostate Cancer: Development of the Canary–Early Detection Research Network Active Surveillance Biopsy Risk Calculator. European Urology. 68(6). 1083–1088. 35 indexed citations

15.

Brooks, James D., Wei Wei, Sarah Hawley, et al.. (2015). Evaluation of ERG and SPINK1 by Immunohistochemical Staining and Clinicopathological Outcomes in a Multi-Institutional Radical Prostatectomy Cohort of 1067 Patients. PLoS ONE. 10(7). e0132343–e0132343. 21 indexed citations

16.

Lin, Daniel W., Lisa F. Newcomb, Elissa C. Brown, et al.. (2013). Urinary TMPRSS2:ERG and PCA3 in an Active Surveillance Cohort: Results from a Baseline Analysis in the Canary Prostate Active Surveillance Study. Clinical Cancer Research. 19(9). 2442–2450. 111 indexed citations

17.

Lin, Daniel W., Lisa F. Newcomb, Elissa C. Brown, et al.. (2012). Urinary TMPRSS2: Use of ERG and PCA3 to predict tumor volume and Gleason grade in an active surveillance cohort—Results from the Canary/EDRN Prostate Active Surveillance Study.. Journal of Clinical Oncology. 30(5_suppl). 2–2. 4 indexed citations

18.

Newcomb, Lisa F., James D. Brooks, Peter R. Carroll, et al.. (2009). Canary Prostate Active Surveillance Study: Design of a Multi-institutional Active Surveillance Cohort and Biorepository. Urology. 75(2). 407–413. 45 indexed citations

19.

Zhang, Qing, Rajasree Menon, Eric W. Deutsch, et al.. (2008). A mouse plasma peptide atlas as a resource for disease proteomics. Genome biology. 9(6). R93–R93. 18 indexed citations

20.

Jacobs, Robert T., Peter R Bernstein, Edward P. Vacek, et al.. (1994). Synthesis, Structure-Activity Relationships, and Pharmacological Evaluation of a Series of Fluorinated 3-Benzyl-5-Indolecarboxamides: Identification of 4-[[5-[((2R)-2-Methyl-4,4,4-trifluorobutyl)carbamoyl]-1-methylindol-3-yl]methyl]-3methoxy-N-[(2-methylphenyl)sulfonyl]benzamide, a Potent, Orally Active Antagonist of Leukotrienes D4 and E4. Journal of Medicinal Chemistry. 37(9). 1282–1297. 28 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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