D. Gulhan
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- PARP inhibition in cancer therapy
Papers in
-
- DNA Repair Mechanisms 4
- Single-cell and spatial transcriptomics 4
- CRISPR and Genetic Engineering 4
-
- Cancer Genomics and Diagnostics 11
- Co-authors
- Peter J. Park (16 shared papers)Giorgio Melloni (5 shared papers)Isidro Cortés‐Ciriano (4 shared papers)Jake June-Koo Lee (4 shared papers)Joshua Cook (2 shared papers)Kevin M. Haigis (2 shared papers)José Guilherme Milhano (5 shared papers)Jorge Casalderrey-Solana (4 shared papers)
- Journals
- Nature Genetics (5 papers)Nuclear Physics A (3 papers)Journal of Clinical Oncology (2 papers)Nature Communications (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
D. Gulhan
27 papers receiving 834 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 257
- Oncology 290
- Nuclear and High Energy Physics 98
- Molecular Biology 405
- Reproductive Medicine 42
Countries citing papers authored by D. Gulhan
This map shows the geographic impact of D. Gulhan'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 D. Gulhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Gulhan more than expected).
Fields of papers citing papers by D. Gulhan
This network shows the impact of papers produced by D. Gulhan. 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 D. Gulhan. The network helps show where D. Gulhan may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Gulhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 190 | |
| 2 | 2021 | 114 | |
| 3 | 2014 | 92 | |
| 4 | 2021 | 70 | |
| 5 | 2023 | 68 | |
| 6 | 2019 | 64 | |
| 7 | 2022 | 53 | |
| 8 | 2021 | 47 | |
| 9 | 2022 | 24 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 23 | |
| 12 | 2024 | 16 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2024 | 3 |
About D. Gulhan
D. Gulhan is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Genetics, having authored 30 papers that have together received 837 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), PARP inhibition in cancer therapy (7 papers), Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (6 papers), Genetic factors in colorectal cancer (6 papers), DNA Repair Mechanisms (4 papers), Single-cell and spatial transcriptomics (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Cancer Research (257 citations), Oncology (290 citations), Nuclear and High Energy Physics (98 citations), Molecular Biology (405 citations) and Reproductive Medicine (42 citations). D. Gulhan has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Peter J. Park, Giorgio Melloni, Isidro Cortés‐Ciriano, Jake June-Koo Lee, Joshua Cook, Kevin M. Haigis, José Guilherme Milhano, Jorge Casalderrey-Solana, Daniel Pablos and Krishna Rajagopal. Their work appears in journals such as Nature Genetics, Nuclear Physics A, Journal of Clinical Oncology, Nature Communications and Cancer Research.
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.