Douglas Laird

634 total citations
22 papers, 467 citations indexed

About

Douglas Laird is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Douglas Laird has authored 22 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 15 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Douglas Laird's work include PARP inhibition in cancer therapy (13 papers), Prostate Cancer Treatment and Research (10 papers) and Cancer Genomics and Diagnostics (6 papers). Douglas Laird is often cited by papers focused on PARP inhibition in cancer therapy (13 papers), Prostate Cancer Treatment and Research (10 papers) and Cancer Genomics and Diagnostics (6 papers). Douglas Laird collaborates with scholars based in United States, Italy and France. Douglas Laird's co-authors include Shoucheng Ning, Susan J. Knox, Julie M. Cherrington, Nizar M. Tannir, Cheryl L. Walker, Christopher G. Wood, Erinn B. Rankin, Zhiyong Ding, Priya Rao and Amato J. Giaccia and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Oncogene.

In The Last Decade

Douglas Laird

19 papers receiving 459 citations

Peers

Douglas Laird
Amy E. Hanna United States
Huili Chu China
K. Papadopoulos United States
Amy E. Hanna United States
Douglas Laird
Citations per year, relative to Douglas Laird Douglas Laird (= 1×) peers Amy E. Hanna

Countries citing papers authored by Douglas Laird

Since Specialization
Citations

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

Fields of papers citing papers by Douglas Laird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas Laird

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

All Works

20 of 20 papers shown
2.
Fizazi, Karim, Nobuaki Matsubara, Douglas Laird, et al.. (2025). Exploratory analyses of homologous recombination repair alterations (HRRm) by gene subgroup and potential associations with efficacy in the HRR-deficient population from TALAPRO-2.. Journal of Clinical Oncology. 43(16_suppl). 5019–5019. 1 indexed citations
7.
8.
Castro, Elena, Douglas Laird, Shuang G. Zhao, et al.. (2023). 1815P Emergent circulating tumor DNA (ctDNA) variants and ctDNA burden dynamics with potential associations with talazoparib antitumor activity in TALAPRO-1. Annals of Oncology. 34. S983–S984. 2 indexed citations
14.
Gökbuget, Nicola, Anjali S. Advani, Matthias Stelljes, et al.. (2018). Impact of minimal residual disease (MRD) status in clinical outcomes of patients with relapsed/refractory (R/R) acute lymphoblastic leukemia (ALL) treated with inotuzumab ozogamicin (InO) in the phase 3 INO-VATE trial.. Journal of Clinical Oncology. 36(15_suppl). 7013–7013. 6 indexed citations
15.
Chen, Robert W., Stephen M. Ansell, Pier Luigi Zinzani, et al.. (2017). Phase 1b/3 study of avelumab-based combination regimens in patients with relapsed or refractory diffuse large B-cell lymphoma (R/R DLBCL).. Journal of Clinical Oncology. 35(15_suppl). TPS7575–TPS7575. 3 indexed citations
16.
Zhou, Lijun, Xian-De Liu, Mingli Sun, et al.. (2015). Targeting MET and AXL overcomes resistance to sunitinib therapy in renal cell carcinoma. Oncogene. 35(21). 2687–2697. 301 indexed citations
17.
Soo, Ross A., Evelyn McKeegan, Choon Hua Thng, et al.. (2008). The effect of varying doses of ABT-869 on biomarkers of angiogenesis and their correlation with pharmacodynamic outcome. Journal of Clinical Oncology. 26(15_suppl). 14535–14535. 3 indexed citations
18.
Papadopoulos, Kyriakos P., B. Markman, Josep Tabernero, et al.. (2008). A phase I dose-escalation study of the safety, pharmacokinetics (PK), and pharmacodynamics (PD) of a novel PI3K inhibitor, XL765, administered orally to patients (pts) with advanced solid tumors. Journal of Clinical Oncology. 26(15_suppl). 3510–3510. 20 indexed citations
19.
Rosen, Lee S., Isett Laux, Melissa Dinolfo, et al.. (2008). A phase 1 dose-escalation study of XL518, a potent MEK inhibitor administered orally daily to subjects with solid tumors. Journal of Clinical Oncology. 26(15_suppl). 14585–14585. 15 indexed citations
20.
Ning, Shoucheng, Douglas Laird, Julie M. Cherrington, & Susan J. Knox. (2002). The Antiangiogenic Agents SU5416 and SU6668 Increase the Antitumor Effects of Fractionated Irradiation. Radiation Research. 157(1). 45–51. 97 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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