Gail S. Wright

6.5k total citations · 1 hit paper
19 papers, 3.6k citations indexed

About

Gail S. Wright is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Reproductive Medicine. According to data from OpenAlex, Gail S. Wright has authored 19 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Reproductive Medicine. Recurrent topics in Gail S. Wright's work include Advanced Breast Cancer Therapies (6 papers), Cancer Treatment and Pharmacology (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). Gail S. Wright is often cited by papers focused on Advanced Breast Cancer Therapies (6 papers), Cancer Treatment and Pharmacology (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). Gail S. Wright collaborates with scholars based in United States, Serbia and Croatia. Gail S. Wright's co-authors include Hope S. Rugo, Seock‐Ah Im, Carlos H. Barrios, Amreen Husain, Véronique Dièras, Hiroji Iwata, Sherene Loi, Volkmar Henschel, Roel Funke and Jane Yuet Ching Hui and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Gail S. Wright

16 papers receiving 3.6k citations

Hit Papers

Atezolizumab and Nab-Paclitaxel in Advanced Triple-Negati... 2018 2026 2020 2023 2018 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gail S. Wright United States 13 2.7k 1.1k 920 817 720 19 3.6k
Andreas Schneeweiss United States 2 2.4k 0.9× 852 0.8× 889 1.0× 731 0.9× 559 0.8× 3 3.0k
Gursel Aktan United States 22 2.5k 0.9× 858 0.8× 740 0.8× 787 1.0× 563 0.8× 52 3.1k
Kun He United States 27 2.0k 0.7× 1.3k 1.1× 578 0.6× 475 0.6× 835 1.2× 53 3.2k
Andreas Pircher Austria 27 1.5k 0.5× 855 0.8× 871 0.9× 931 1.1× 1.7k 2.3× 103 3.4k
Sigve Andersen Norway 33 2.0k 0.7× 1.2k 1.1× 981 1.1× 1.4k 1.7× 1.6k 2.2× 80 3.9k
Zaoqu Liu China 32 1.2k 0.4× 1.2k 1.1× 826 0.9× 1.1k 1.3× 1.5k 2.1× 142 3.4k
Jennifer R. Diamond United States 26 2.0k 0.7× 756 0.7× 466 0.5× 469 0.6× 998 1.4× 136 3.0k
Maria Vittoria Dieci Italy 36 3.1k 1.1× 1.1k 1.0× 750 0.8× 1.6k 1.9× 1.1k 1.5× 154 4.5k
Ariel López-Chávez United States 18 2.8k 1.0× 1.9k 1.7× 575 0.6× 465 0.6× 821 1.1× 41 3.7k
Shunchang Jiao China 30 1.9k 0.7× 977 0.9× 618 0.7× 655 0.8× 1.1k 1.6× 144 3.4k

Countries citing papers authored by Gail S. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Gail S. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail S. Wright

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

All Works

19 of 19 papers shown
3.
Krivak, Thomas C., Gail S. Wright, Erika Hamilton, et al.. (2022). OVARIO phase II trial of combination niraparib plus bevacizumab maintenance therapy in advanced ovarian cancer following first-line platinum-based chemotherapy with bevacizumab. Gynecologic Oncology. 166(2). 219–229. 44 indexed citations
5.
Tan, Antoinette R., Gail S. Wright, Anu Thummala, et al.. (2021). Trilaciclib Prior to Chemotherapy in Patients with Metastatic Triple-Negative Breast Cancer: Final Efficacy and Subgroup Analysis from a Randomized Phase II Study. Clinical Cancer Research. 28(4). 629–636. 28 indexed citations
6.
O’Shaughnessy, Joyce, Gail S. Wright, Anu Thummala, et al.. (2021). Abstract PD1-06: Trilaciclib improves overall survival when given with gemcitabine/carboplatin in patients with metastatic triple-negative breast cancer: Final analysis of a randomized phase 2 trial. Cancer Research. 81(4_Supplement). PD1–6. 6 indexed citations
7.
Krivak, Thomas C., Gail S. Wright, Erika Hamilton, et al.. (2021). Phase II OVARIO Study of niraparib + bevacizumab therapy in advanced ovarian cancer following front-line platinum-based chemotherapy with bevacizumab. Gynecologic Oncology. 162. S17–S17. 13 indexed citations
8.
Vahdat, Linda T., Peter Schmid, Andres Forero‐Torres, et al.. (2021). Glembatumumab vedotin for patients with metastatic, gpNMB overexpressing, triple-negative breast cancer (“METRIC”): a randomized multicenter study. npj Breast Cancer. 7(1). 57–57. 39 indexed citations
10.
Tan, Antoinette R., Gail S. Wright, Anu Thummala, et al.. (2019). Trilaciclib plus chemotherapy versus chemotherapy alone in patients with metastatic triple-negative breast cancer: a multicentre, randomised, open-label, phase 2 trial. The Lancet Oncology. 20(11). 1587–1601. 86 indexed citations
12.
O’Shaughnessy, Joyce, Angela DeMichele, X. Cynthia, et al.. (2018). A randomized, double-blind, phase 2 study of ruxolitinib or placebo in combination with capecitabine in patients with advanced HER2-negative breast cancer and elevated C-reactive protein, a marker of systemic inflammation. Breast Cancer Research and Treatment. 170(3). 547–557. 35 indexed citations
13.
Schmid, Peter, Sylvia Adams, Hope S. Rugo, et al.. (2018). Atezolizumab and Nab-Paclitaxel in Advanced Triple-Negative Breast Cancer. New England Journal of Medicine. 379(22). 2108–2121. 3005 indexed citations breakdown →
15.
Seidman, Andrew D., Alison Conlin, Ariadne M. Bach, et al.. (2013). Randomized Phase II Trial of Weekly vs. Every 2 Weeks vs. Every 3 Weeks Nanoparticle Albumin-Bound Paclitaxel With Bevacizumab as First-Line Chemotherapy for Metastatic Breast Cancer. Clinical Breast Cancer. 13(4). 239–246.e1. 29 indexed citations
16.
Karp, Daniel D., Sandra J. Lee, Steven M. Keller, et al.. (2013). Randomized, Double-Blind, Placebo-Controlled, Phase III Chemoprevention Trial of Selenium Supplementation in Patients With Resected Stage I Non–Small-Cell Lung Cancer: ECOG 5597. Journal of Clinical Oncology. 31(33). 4179–4187. 82 indexed citations
17.
Herzog, Cynthia E., Tanya Trippett, Joseph F. Grippo, et al.. (2010). Pharmacokinetically Guided Phase 1 Trial of the IGF-1 Receptor Antagonist RG1507 in Children with Recurrent or Refractory Solid Tumors. Clinical Cancer Research. 17(3). 611–619. 41 indexed citations
18.
Reynolds, Craig H., Coleman K. Obasaju, Michael J. Schell, et al.. (2009). Randomized Phase III Trial of Gemcitabine-Based Chemotherapy With In Situ RRM1 and ERCC1 Protein Levels for Response Prediction in Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. 27(34). 5808–5815. 138 indexed citations
19.
Wright, Gail S. & Michael E. Gruidl. (2000). Early detection and prevention of lung cancer. Current Opinion in Oncology. 12(2). 143–148. 36 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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