Gábor Bartha

1.5k total citations · 1 hit paper
22 papers, 458 citations indexed

About

Gábor Bartha is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gábor Bartha has authored 22 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Gábor Bartha's work include Immunotherapy and Immune Responses (6 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Gábor Bartha is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Gábor Bartha collaborates with scholars based in United States, New Zealand and Hungary. Gábor Bartha's co-authors include Matthias Wabl, Richard F. Thompson, Amy Lum, Richard Chen, Mark Klinger, Dirk Walther, Nigel Killeen, Macdonald Morris, Daniel Shu and Elizabeth M. Jaffee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Gábor Bartha

19 papers receiving 445 citations

Hit Papers

Personalized neoantigen vaccine and pembrolizumab in adva... 2024 2026 2025 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gábor Bartha United States 11 265 134 132 115 67 22 458
Richa Singhania United States 8 315 1.2× 97 0.7× 78 0.6× 189 1.6× 46 0.7× 13 621
Jiacheng Yao China 9 370 1.4× 108 0.8× 210 1.6× 103 0.9× 46 0.7× 18 656
E. Takahashi Japan 16 436 1.6× 81 0.6× 66 0.5× 80 0.7× 56 0.8× 23 579
Stefan Zwilling Germany 8 409 1.5× 106 0.8× 234 1.8× 107 0.9× 134 2.0× 8 640
Elena Denisenko Australia 9 540 2.0× 163 1.2× 166 1.3× 86 0.7× 30 0.4× 13 670
Masafumi Ohtsubo Japan 13 319 1.2× 81 0.6× 36 0.3× 79 0.7× 67 1.0× 25 432
Yi Fu United States 9 435 1.6× 51 0.4× 156 1.2× 50 0.4× 36 0.5× 11 558
Hirak Sarkar United States 10 348 1.3× 141 1.1× 90 0.7× 83 0.7× 39 0.6× 21 513
Caitlin Sedwick United States 10 152 0.6× 74 0.6× 319 2.4× 75 0.7× 55 0.8× 51 541
Una Kjällquist Sweden 5 861 3.2× 350 2.6× 146 1.1× 151 1.3× 60 0.9× 7 1.0k

Countries citing papers authored by Gábor Bartha

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Bartha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Bartha

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Bartha. A scholar is included among the top collaborators of Gábor Bartha 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 Gábor Bartha. Gábor Bartha 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
1.
Yarchoan, Mark, Edward Gane, Thomas U. Marron, et al.. (2024). Personalized neoantigen vaccine and pembrolizumab in advanced hepatocellular carcinoma: a phase 1/2 trial. Nature Medicine. 30(4). 1044–1053. 111 indexed citations breakdown →
2.
Saldivar, Juan‐Sebastian, Jason Harris, Joshua C. Anderson, et al.. (2023). Analytic validation of NeXT Dx™, a comprehensive genomic profiling assay. Oncotarget. 14(1). 789–806. 2 indexed citations
3.
Pyke, Rachel Marty, Charles W. Abbott, Jason Harris, et al.. (2023). Precision Neoantigen Discovery Using Large-Scale Immunopeptidomes and Composite Modeling of MHC Peptide Presentation. Molecular & Cellular Proteomics. 22(4). 100506–100506. 14 indexed citations
4.
Pyke, Rachel Marty, Dattatreya Mellacheruvu, Charles W. Abbott, et al.. (2022). A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity. Nature Communications. 13(1). 1925–1925. 18 indexed citations
6.
Perales‐Puchalt, Alfredo, Gábor Bartha, Josette Northcott, et al.. (2022). 692 Circulating tumor DNA analysis of advanced hepatocellular cancer (HCC) patients treated with neoantigen targeted personalized cancer DNA vaccine (GNOS-PV02) in combination with plasmid IL-12 (pIL12) and anti-PD1 (pembrolizumab). Regular and Young Investigator Award Abstracts. A723–A723. 5 indexed citations
7.
Boyle, Sean Michael, Gábor Bartha, John Lyle, et al.. (2022). Abstract 5163: A high sensitivity, tumor-informed liquid biopsy platform, designed to detect minimal residual disease at part per million resolution. Cancer Research. 82(12_Supplement). 5163–5163. 2 indexed citations
8.
Abbott, Charles W., Sean M. Boyle, Rachel Marty Pyke, et al.. (2021). Prediction of Immunotherapy Response in Melanoma through Combined Modeling of Neoantigen Burden and Immune-Related Resistance Mechanisms. Clinical Cancer Research. 27(15). 4265–4276. 35 indexed citations
9.
Navarro, Fábio C. P., Mengyao Tan, Charles W. Abbott, et al.. (2021). Abstract 2227: Pan-cancer shedding patterns of tumor circulating cell free DNA. Cancer Research. 81(13_Supplement). 2227–2227.
10.
Keogh, Michael J., Wei Wei, Juvid Aryaman, et al.. (2018). High prevalence of focal and multi-focal somatic genetic variants in the human brain. Nature Communications. 9(1). 4257–4257. 44 indexed citations
11.
Bartha, Gábor, et al.. (2017). Inspire Infrastructure for Spatial Data - Main Aspects of Future Development. 1 indexed citations
12.
Parikh, Hemang, Marghoob Mohiyuddin, Hugo Y. K. Lam, et al.. (2016). svclassify: a method to establish benchmark structural variant calls. BMC Genomics. 17(1). 64–64. 57 indexed citations
13.
Patwardhan, Anil, Michael J. Clark, Alex A. Morgan, et al.. (2013). VARIANT PRIORIZATION AND ANALYSIS INCORPORATING PROBLEMATIC REGIONS OF THE GENOME. PubMed. 277–287. 1 indexed citations
14.
Lum, Amy, et al.. (2007). Retroviral activation of the mir-106a microRNA cistron in T lymphoma. Retrovirology. 4(1). 5–5. 60 indexed citations
15.
Bartha, Gábor, et al.. (2006). Activation of an oncogenic microRNA cistron by provirus integration. Proceedings of the National Academy of Sciences. 103(49). 18680–18684. 52 indexed citations
16.
Walther, Dirk, Gábor Bartha, & Macdonald Morris. (2001). Basecalling with LifeTrace. Genome Research. 11(5). 875–888. 20 indexed citations
17.
Bartha, Gábor & Richard F. Thompson. (1998). Cerebellum and conditioning. MIT Press eBooks. 169–172. 11 indexed citations
18.
Bartha, Gábor & Richard F. Thompson. (1992). Control of rabbit nictitating membrane movements. Biological Cybernetics. 68(2). 135–143. 14 indexed citations
19.
Bartha, Gábor & Richard F. Thompson. (1992). Control of rabbit nictitating membrane movements. Biological Cybernetics. 68(2). 145–154. 9 indexed citations
20.
Bartha, Gábor. (1986). The inertial positioning problem in Hamiltonian mechanics. Journal of Geodesy. 60(2). 121–128. 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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