Gregory Gydush
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
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- Prostate Cancer Treatment and Research
- Lung Cancer Treatments and Mutations
Papers in
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- Cancer Genomics and Diagnostics 12
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- Multiple Myeloma Research and Treatments 3
- Co-authors
- Yong Wang (2 shared papers)Cheng Dong (2 shared papers)Viktor A. Adalsteinsson (5 shared papers)Shihui Li (1 shared paper)Niancao Chen (1 shared paper)Sarah C. Reed (4 shared papers)Gerassimos Mike Makrigiorgos (2 shared papers)Atish Dipankar Choudhury (3 shared papers)
- Journals
- Nature Communications (3 papers)Neuro-Oncology (2 papers)Blood (2 papers)Experimental Cell Research (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Gregory Gydush
17 papers receiving 1.9k citations
Gregory Gydush's Hit Papers
Peers
Comparison fields: 5 of 66
- Cancer Research 1.2k
- Pulmonary and Respiratory Medicine 602
- Oncology 499
- Pathology and Forensic Medicine 204
- Hematology 122
Countries citing papers authored by Gregory Gydush
This map shows the geographic impact of Gregory Gydush'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 Gregory Gydush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Gydush more than expected).
Fields of papers citing papers by Gregory Gydush
This network shows the impact of papers produced by Gregory Gydush. 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 Gregory Gydush. The network helps show where Gregory Gydush may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Gydush, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors Hit paper breakdown → | 2017 | 735 |
| 2 | 2018 | 280 | |
| 3 | 2018 | 193 | |
| 4 | 2018 | 171 | |
| 5 | 2020 | 155 | |
| 6 | 2018 | 107 | |
| 7 | 2022 | 65 | |
| 8 | 2022 | 62 | |
| 9 | 2023 | 57 | |
| 10 | 2021 | 56 | |
| 11 | 2015 | 29 | |
| 12 | 2024 | 15 | |
| 13 | 2016 | 7 | |
| 14 | 2015 | 6 | |
| 15 | 2019 | 5 | |
| 16 | 2021 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2018 | 0 |
About Gregory Gydush
Gregory Gydush is a scholar working on Cancer Research, Hematology, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Multiple Myeloma Research and Treatments (3 papers), Evolution and Genetic Dynamics (2 papers), Genetic factors in colorectal cancer (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Prostate Cancer Treatment and Research (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Cancer Research (1.2k citations), Pulmonary and Respiratory Medicine (602 citations), Oncology (499 citations), Pathology and Forensic Medicine (204 citations) and Hematology (122 citations). Gregory Gydush has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Yong Wang, Cheng Dong, Viktor A. Adalsteinsson, Shihui Li, Niancao Chen, Sarah C. Reed, Gerassimos Mike Makrigiorgos, Atish Dipankar Choudhury, Fangyan Yu and Heather Anne Parsons. Their work appears in journals such as Nature Communications, Neuro-Oncology, Blood, Experimental Cell Research and Journal of Clinical Oncology.
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.