Laura Sit

6.6k total citations · 2 hit papers
29 papers, 3.4k citations indexed

About

Laura Sit is a scholar working on Oncology, Molecular Biology and Anesthesiology and Pain Medicine. According to data from OpenAlex, Laura Sit has authored 29 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 7 papers in Molecular Biology and 6 papers in Anesthesiology and Pain Medicine. Recurrent topics in Laura Sit's work include Cancer survivorship and care (9 papers), Cancer Treatment and Pharmacology (7 papers) and Pain Management and Opioid Use (6 papers). Laura Sit is often cited by papers focused on Cancer survivorship and care (9 papers), Cancer Treatment and Pharmacology (7 papers) and Pain Management and Opioid Use (6 papers). Laura Sit collaborates with scholars based in United States, Malaysia and Thailand. Laura Sit's co-authors include Ethan Basch, Deborah Schrag, M. Fruscione, Thomas M. Atkinson, Howard I. Scher, Allison Barz Leahy, Mark G. Kris, Lauren J. Rogak, Antonia V. Bennett and Amylou C. Dueck and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Laura Sit

28 papers receiving 3.3k citations

Hit Papers

align trajectories

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.

Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial

2015 1.7k citations Ethan Basch, Allison M. Deal et al. Journal of Clinical Oncology profile →
Adverse Symptom Event Reporting by Patients vs Clinicians: Relationships With Clinical Outcomes

2009 480 citations Ethan Basch, Xiaoyu Jia et al. JNCI Journal of the National Cancer Institute profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Sit United States	14	1.9k	915	691	648	443	29	3.4k
Allison Barz Leahy United States	15	2.2k 1.2×	1.1k 1.2×	771 1.1×	576 0.9×	526 1.2×	43	3.5k
Lauren J. Rogak United States	22	2.1k 1.1×	1.0k 1.1×	721 1.0×	626 1.0×	454 1.0×	47	3.4k
Ann M. O’Mara United States	26	1.6k 0.8×	898 1.0×	863 1.2×	642 1.0×	382 0.9×	63	3.0k
Antonia V. Bennett United States	28	2.6k 1.3×	1.2k 1.3×	824 1.2×	826 1.3×	731 1.7×	121	4.5k
M. Fruscione United States	9	1.6k 0.8×	776 0.8×	560 0.8×	488 0.8×	384 0.9×	20	2.7k
Larissa Nekhlyudov United States	41	3.1k 1.6×	1.4k 1.5×	1.0k 1.5×	735 1.1×	668 1.5×	174	5.1k
Eric Linn United States	3	3.0k 1.6×	994 1.1×	1.3k 1.9×	1.1k 1.6×	508 1.1×	6	4.8k
Virginia Sun United States	38	1.9k 1.0×	1.8k 1.9×	898 1.3×	802 1.2×	652 1.5×	160	4.5k
Kimberly Webster United States	25	2.8k 1.4×	583 0.6×	1.2k 1.7×	1.2k 1.8×	337 0.8×	55	5.2k
Penny Wright United Kingdom	30	1.4k 0.7×	684 0.7×	625 0.9×	311 0.5×	626 1.4×	86	2.7k

Countries citing papers authored by Laura Sit

Since Specialization

Citations

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

Fields of papers citing papers by Laura Sit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Sit

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Sit. A scholar is included among the top collaborators of Laura Sit 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 Laura Sit. Laura Sit 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:

20 of 20 papers shown

Wolf, Denise M., Christina Yau, Michael J. Campbell, et al.. (2022). Abstract P5-13-12: Immune signatures and MammaPrint (ultra) high risk class (MP2) as predictors of response to pembrolizumab combined with the TLR9 agonist SD101 in the neoadjuvant I-SPY 2 TRIAL. Cancer Research. 82(4_Supplement). P5–13. 2 indexed citations

Wolf, Denise M., Christina Yau, Lamorna Brown Swigart, et al.. (2021). Abstract PD14-02: Biomarkers predicting response to durvalumab combined with olaparib in the neoadjuvant I-SPY 2 TRIAL for high-risk breast cancer. Cancer Research. 81(4_Supplement). PD14–2. 1 indexed citations

Sayaman, Rosalyn W., Denise M. Wolf, Christina Yau, et al.. (2020). Abstract P1-21-08: Application of machine learning to elucidate the biology predicting response in the I-SPY 2 neoadjuvant breast cancer trial. Cancer Research. 80(4_Supplement). P1–21. 1 indexed citations

Wolf, Denise M., Christina Yau, Julia Wulfkuhle, et al.. (2020). Abstract P4-10-02: HER2 signaling, ER, and proliferation biomarkers predict response to multiple HER2-targeted agents/combinations plus standard neoadjuvant therapy in the I-SPY 2 trial. Cancer Research. 80(4_Supplement). P4–10.

Schoen, Martin W., Ethan Basch, Lori L. Hudson, et al.. (2018). Software for Administering the National Cancer Institute’s Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events: Usability Study. JMIR Human Factors. 5(3). e10070–e10070. 19 indexed citations

Basch, Ethan, Allison M. Deal, Mark G. Kris, et al.. (2015). Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial. Journal of Clinical Oncology. 34(6). 557–565. 1668 indexed citations breakdown →

Hay, Jennifer L., Thomas M. Atkinson, Bryce B. Reeve, et al.. (2013). Cognitive interviewing of the US National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). Quality of Life Research. 23(1). 257–269. 121 indexed citations

Judson, Timothy J., Antonia V. Bennett, Lauren J. Rogak, et al.. (2013). Feasibility of Long-Term Patient Self-Reporting of Toxicities From Home via the Internet During Routine Chemotherapy. Journal of Clinical Oncology. 31(20). 2580–2585. 115 indexed citations

Autio, Karen A., Antonia V. Bennett, Xiaoyu Jia, et al.. (2013). Prevalence of Pain and Analgesic Use in Men With Metastatic Prostate Cancer Using a Patient-Reported Outcome Measure. Journal of Oncology Practice. 9(5). 223–229. 23 indexed citations

10.

Atkinson, Thomas M., Susan Halabi, Antonia V. Bennett, et al.. (2012). Measurement of Affective and Activity Pain Interference Using the Brief Pain Inventory (BPI): Cancer and Leukemia Group B 70903. Pain Medicine. 13(11). 1417–1424. 20 indexed citations

11.

Bruner, Deborah Watkins, Laura J. Hanisch, Bryce B. Reeve, et al.. (2011). Stakeholder perspectives on implementing the National Cancer Institute’s patient-reported outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). Translational Behavioral Medicine. 1(1). 110–122. 64 indexed citations

12.

Atkinson, Thomas M., Yuelin Li, Charles W. Coffey, et al.. (2011). Reliability of adverse symptom event reporting by clinicians. Quality of Life Research. 21(7). 1159–1164. 168 indexed citations

13.

Basch, Ethan, Bryce B. Reeve, Sandra A. Mitchell, et al.. (2011). Electronic Toxicity Monitoring and Patient-Reported Outcomes. The Cancer Journal. 17(4). 231–234. 43 indexed citations

14.

Atkinson, Thomas M., Barry Rosenfeld, Laura Sit, et al.. (2010). Using Confirmatory Factor Analysis to Evaluate Construct Validity of the Brief Pain Inventory (BPI). Journal of Pain and Symptom Management. 41(3). 558–565. 185 indexed citations

15.

Wroblewski, Keith J., Laura Sit, Theodore Karrison, et al.. (2010). Use of typical in-patient blood pressure measurements to detect bevacizumab-induced elevation in systolic pressure after the first infusion.. Journal of Clinical Oncology. 28(15_suppl). e13622–e13622. 1 indexed citations

16.

Maitland, Michael L., Kristen Kasza, Theodore Karrison, et al.. (2009). Ambulatory Monitoring Detects Sorafenib-Induced Blood Pressure Elevations on the First Day of Treatment. Clinical Cancer Research. 15(19). 6250–6257. 124 indexed citations

17.

Atkinson, Thomas M., Tito R. Mendoza, Laura Sit, et al.. (2009). The Brief Pain Inventory and Its “Pain At Its Worst in the Last 24 Hours” Item: Clinical Trial Endpoint Considerations. Pain Medicine. 11(3). 337–346. 163 indexed citations

18.

Basch, Ethan, Xiaoyu Jia, Glenn Heller, et al.. (2009). Adverse Symptom Event Reporting by Patients vs Clinicians: Relationships With Clinical Outcomes. JNCI Journal of the National Cancer Institute. 101(23). 1624–1632. 480 indexed citations breakdown →

19.

Basch, Ethan, Laura Sit, M. Fruscione, et al.. (2009). Pain and analgesic use in men with metastatic prostate cancer. Journal of Clinical Oncology. 27(15_suppl). e20515–e20515. 1 indexed citations

20.

Dickler, Maura N., M. Fruscione, Laura Sit, et al.. (2009). Burden of Sexual Dysfunction in Women with Breast Cancer.. Cancer Research. 69(24_Supplement). 1056–1056. 1 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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