Gilbert Ko

2.1k total citations · 1 hit paper
9 papers, 1.6k citations indexed

About

Gilbert Ko is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Gilbert Ko has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Gilbert Ko's work include Cancer Genomics and Diagnostics (4 papers), Lung Cancer Treatments and Mutations (3 papers) and Genetic factors in colorectal cancer (2 papers). Gilbert Ko is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Lung Cancer Treatments and Mutations (3 papers) and Genetic factors in colorectal cancer (2 papers). Gilbert Ko collaborates with scholars based in United States. Gilbert Ko's co-authors include Michael Davidson, R.S. Kahn, Andrea Ferreira‐Gonzalez, Fiona Stewart, Sheldon X. Kong, Kristin D. Kistler, Nicole Fusco, Diana Brixner, J. L. Thompson and Jonathan P. Thompson and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Psychiatry and Value in Health.

In The Last Decade

Gilbert Ko

8 papers receiving 1.5k citations

Hit Papers

Dopamine in schizophrenia: a review and reconceptualization 1991 2026 2002 2014 1991 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gilbert Ko United States 3 759 677 403 390 217 9 1.6k
Maria Rogdaki United Kingdom 19 465 0.6× 672 1.0× 436 1.1× 599 1.5× 222 1.0× 51 1.7k
Kelly A. Allers Germany 21 663 0.9× 343 0.5× 285 0.7× 332 0.9× 187 0.9× 40 1.5k
Olivier Guillin France 17 1.0k 1.4× 389 0.6× 530 1.3× 446 1.1× 119 0.5× 51 1.8k
Anne‐Noël Samaha Canada 22 892 1.2× 456 0.7× 389 1.0× 246 0.6× 97 0.4× 42 1.4k
Bianca Jupp Australia 25 876 1.2× 300 0.4× 332 0.8× 609 1.6× 70 0.3× 49 1.6k
Lisa D. Kochan United States 10 589 0.8× 433 0.6× 346 0.9× 364 0.9× 124 0.6× 11 1.1k
Xiaoyan Xu United States 19 642 0.8× 331 0.5× 210 0.5× 426 1.1× 96 0.4× 28 1.2k
Charles H. Large United Kingdom 30 1.2k 1.6× 574 0.8× 932 2.3× 846 2.2× 155 0.7× 75 2.8k
Smulevich Ab Russia 11 596 0.8× 517 0.8× 428 1.1× 153 0.4× 182 0.8× 72 1.3k
Susanne Nikolaus Germany 22 956 1.3× 265 0.4× 485 1.2× 422 1.1× 115 0.5× 78 1.8k

Countries citing papers authored by Gilbert Ko

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilbert Ko

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

All Works

9 of 9 papers shown
1.
Ferreira‐Gonzalez, Andrea, et al.. (2024). Barriers and facilitators to next-generation sequencing use in United States oncology settings: a systematic review. Future Oncology. 20(35). 2765–2777. 8 indexed citations
2.
Schabath, Matthew B., Jonathan P. Thompson, Jyoti Malhotra, et al.. (2024). Clinical characteristics and treatment patterns of patients with NTRK fusion–positive solid tumors: A multisite cohort study at US academic cancer centers. Journal of Managed Care & Specialty Pharmacy. 30(7). 672–683. 1 indexed citations
3.
Ferreira‐Gonzalez, Andrea, et al.. (2024). Next-Generation Sequencing Trends among Adult Patients with Select Advanced Tumor Types. Journal of Molecular Diagnostics. 26(4). 292–303. 5 indexed citations
5.
6.
Suh, Kangho, et al.. (2023). An application of extrapolating clinical data from single-arm trials to assess comparative effectiveness.. Journal of Clinical Oncology. 41(16_suppl). 6614–6614. 1 indexed citations
7.
Kong, Sheldon X., et al.. (2023). Utilization of metastatic hormone sensitive prostate cancer (mHSPC) treatment in a community oncology practice setting.. Journal of Clinical Oncology. 41(6_suppl). 86–86. 2 indexed citations
8.
Thompson, J. L., Jyoti Malhotra, Gilbert Ko, et al.. (2022). CO118 TRK Inhibitor Treatment Patterns in Patients with NTRK Fusion-Positive Solid Tumors: A Multi-Site Cohort Study at U.S. Academic Cancer Centers. Value in Health. 25(12). S41–S41. 1 indexed citations
9.
Kahn, R.S., et al.. (1991). Dopamine in schizophrenia: a review and reconceptualization. American Journal of Psychiatry. 148(11). 1474–1486. 1531 indexed citations breakdown →

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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