Dheva Setiaputra
Impact in
-
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- DNA Repair Mechanisms 7
- Genomics and Chromatin Dynamics 5
- CRISPR and Genetic Engineering 5
- Ubiquitin and proteasome pathways 4
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- Fungal and yeast genetics research 2
- Genetics 3
- Co-authors
- Daniel Durocher (8 shared papers)Calvin K. Yip (10 shared papers)Shan Lu (3 shared papers)Meng‐Qiu Dong (3 shared papers)D. Cheng (2 shared papers)James D. Ross (2 shared papers)N.C.J. Strynadka (2 shared papers)Daniel J. Klionsky (1 shared paper)
- Journals
- EMBO Reports (3 papers)Nature Communications (2 papers)Molecular Cell (2 papers)Genes & Development (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Dheva Setiaputra
20 papers receiving 569 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 469
- Molecular Medicine 29
- Oncology 122
- Structural Biology 6
- Endocrinology 21
Countries citing papers authored by Dheva Setiaputra
This map shows the geographic impact of Dheva Setiaputra'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 Dheva Setiaputra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dheva Setiaputra more than expected).
Fields of papers citing papers by Dheva Setiaputra
This network shows the impact of papers produced by Dheva Setiaputra. 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 Dheva Setiaputra. The network helps show where Dheva Setiaputra may publish in the future.
Co-authors
The 25 scholars most cited alongside Dheva Setiaputra, 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 | 2019 | 163 | |
| 2 | 2015 | 72 | |
| 3 | 2019 | 50 | |
| 4 | 2015 | 48 | |
| 5 | 2016 | 33 | |
| 6 | 2013 | 30 | |
| 7 | 2022 | 25 | |
| 8 | 2016 | 24 | |
| 9 | 2020 | 23 | |
| 10 | 2018 | 19 | |
| 11 | 2016 | 16 | |
| 12 | 2013 | 16 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 12 | |
| 15 | 2025 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2014 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 1 |
About Dheva Setiaputra
Dheva Setiaputra is a scholar working on Molecular Biology, Genetics, Oncology, Molecular Medicine and Cell Biology, having authored 20 papers that have together received 570 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Genomics and Chromatin Dynamics (5 papers), CRISPR and Genetic Engineering (5 papers), Ubiquitin and proteasome pathways (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), Fungal and yeast genetics research (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Biology (469 citations), Molecular Medicine (29 citations), Oncology (122 citations), Structural Biology (6 citations) and Endocrinology (21 citations). Dheva Setiaputra has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Daniel Durocher, Calvin K. Yip, Shan Lu, Meng‐Qiu Dong, D. Cheng, James D. Ross, N.C.J. Strynadka, Daniel J. Klionsky, Christoph H. Borchers and Deborah G. Conrady. Their work appears in journals such as EMBO Reports, Nature Communications, Molecular Cell, Genes & Development and Biochemical and Biophysical Research Communications.
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.