Lora S. Wang

665 total citations · 1 hit paper
12 papers, 478 citations indexed

About

Lora S. Wang is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Lora S. Wang has authored 12 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Lora S. Wang's work include Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Lora S. Wang is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Lora S. Wang collaborates with scholars based in United States and Germany. Lora S. Wang's co-authors include Colin T. Murphy, Elizabeth A. Handorf, Thomas J. Galloway, Ranee Mehra, John A. Ridge, Brian L. Egleston, Douglas B. Flieder, Rosalia Viterbo, Karen Ruth and Marc C. Smaldone and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Lora S. Wang

11 papers receiving 476 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.

Survival Impact of Increasing Time to Treatment Initiation for Patients With Head and Neck Cancer in the United States

2015 298 citations Colin T. Murphy, Thomas J. Galloway et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lora S. Wang United States	8	203	189	181	135	58	12	478
Tsien Fua Australia	14	367 1.8×	191 1.0×	288 1.6×	208 1.5×	25 0.4×	37	606
Ashwini Budrukkar India	14	152 0.7×	81 0.4×	106 0.6×	106 0.8×	68 1.2×	31	320
João Luís Fernandes da Silva Brazil	11	173 0.9×	188 1.0×	110 0.6×	112 0.8×	104 1.8×	28	481
Alistair Robertson United Kingdom	6	235 1.2×	100 0.5×	232 1.3×	177 1.3×	16 0.3×	8	425
Munish Gairola India	10	143 0.7×	141 0.7×	96 0.5×	89 0.7×	34 0.6×	80	390
E. Greer Gay United States	7	188 0.9×	322 1.7×	247 1.4×	179 1.3×	85 1.5×	10	680
Nancy Read Canada	12	422 2.1×	277 1.5×	256 1.4×	247 1.8×	69 1.2×	42	666
Emilie A. C. Dronkers Netherlands	13	229 1.1×	97 0.5×	199 1.1×	153 1.1×	40 0.7×	27	552
Swee Peng Yap Singapore	11	84 0.4×	78 0.4×	187 1.0×	96 0.7×	22 0.4×	23	372
Jordan Kharofa United States	14	51 0.3×	255 1.3×	276 1.5×	245 1.8×	81 1.4×	76	723

Countries citing papers authored by Lora S. Wang

Since Specialization

Citations

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

Fields of papers citing papers by Lora S. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lora S. Wang. 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 Lora S. Wang. The network helps show where Lora S. Wang may publish in the future.

Co-authorship network of co-authors of Lora S. Wang

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

All Works

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12 of 12 papers shown

Shaikh, Talha, Tianyu Li, Elizabeth A. Handorf, et al.. (2016). Long-Term Patient-Reported Outcomes From a Phase 3 Randomized Prospective Trial of Conventional Versus Hypofractionated Radiation Therapy for Localized Prostate Cancer. International Journal of Radiation Oncology*Biology*Physics. 97(4). 722–731. 34 indexed citations

Wang, Lora S., Talha Shaikh, Elizabeth A. Handorf, et al.. (2015). Dose escalation with a vessel boost in pancreatic adenocarcinoma treated with neoadjuvant chemoradiation. Practical Radiation Oncology. 5(5). e457–e463. 7 indexed citations

Shaikh, Talha, Lora S. Wang, Brian L. Egleston, et al.. (2015). Dosimetric predictors of hematologic toxicity in patients undergoing concurrent gemcitabine-based chemoradiation for localized pancreatic cancer. Practical Radiation Oncology. 6(4). e107–e115. 2 indexed citations

Shaikh, Talha, Lora S. Wang, Brian L. Egleston, et al.. (2015). Predictors of Hematologic Toxicity and Chemotherapy Dose Intensity in Patients Undergoing Chemoradiation for Pancreatic Cancer. American Journal of Clinical Oncology. 41(1). 59–64. 3 indexed citations

Murphy, Colin T., Tianyu Li, Lora S. Wang, et al.. (2015). Comparison of Adjuvant Radiation Therapy Alone Versus Radiation Therapy and Endocrine Therapy in Elderly Women With Early-Stage, Hormone Receptor-Positive Breast Cancer Treated With Breast-Conserving Surgery. Clinical Breast Cancer. 15(5). 381–389. 20 indexed citations

Murphy, Colin T., Karthik Devarajan, Lora S. Wang, et al.. (2015). Pre-treatment tumor-specific growth rate as a temporal biomarker that predicts treatment failure and improves risk stratification for oropharyngeal cancer. Oral Oncology. 51(11). 1034–1040. 14 indexed citations

Wang, Lora S., Colin T. Murphy, Karen Ruth, et al.. (2015). Impact of obesity on outcomes after definitive dose‐escalated intensity‐modulated radiotherapy for localized prostate cancer. Cancer. 121(17). 3010–3017. 42 indexed citations

Murphy, Colin T., Thomas J. Galloway, Elizabeth A. Handorf, et al.. (2015). Survival Impact of Increasing Time to Treatment Initiation for Patients With Head and Neck Cancer in the United States. Journal of Clinical Oncology. 34(2). 169–178. 298 indexed citations breakdown →

Wang, Lora S., Elizabeth A. Handorf, Hong Wu, et al.. (2015). Surgery and Adjuvant Radiation for High-risk Skin Adnexal Carcinoma of the Head and Neck. American Journal of Clinical Oncology. 40(4). 429–432. 24 indexed citations

10.

Wang, Lora S., Elizabeth A. Handorf, Colin T. Murphy, et al.. (2015). Contemporary trends in receipt of local therapy for men with clinically localized high-risk prostate cancer.. Journal of Clinical Oncology. 33(7_suppl). 111–111. 1 indexed citations

11.

Wang, Lora S., Karen Ruth, Marc C. Smaldone, et al.. (2014). Impact of obesity on outcomes after definitive dose escalated intensity modulated radiation therapy for localized prostate cancer.. Journal of Clinical Oncology. 32(4_suppl). 50–50.

12.

Bellovin, David I., Joyce Lee, Kimberly M. Komatsubara, et al.. (2009). Low-level shRNA Cytotoxicity Can Contribute to MYC-induced Hepatocellular Carcinoma in Adult Mice. Molecular Therapy. 18(1). 161–170. 33 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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