Robert R. Delongchamp
- Molecular Biology top 10%
- Cancer Research top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Physiology top 10%
- Co-authors
- James J. ChenFred F. KadlubarChen‐An TsaiJohn F. BowyerCarolyn WiseLionel A. PoirierHuey‐Miin HsuehE. Nakashima
- Topics
- Gene expression and cancer classification (13 papers)DNA Repair Mechanisms (12 papers)CRISPR and Genetic Engineering (10 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Robert R. Delongchamp
103 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 780
- Cancer Research 279
- Radiology, Nuclear Medicine and Imaging 220
- Oncology 219
- Physiology 194
Countries citing papers authored by Robert R. Delongchamp
This map shows the geographic impact of Robert R. Delongchamp'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 Robert R. Delongchamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert R. Delongchamp more than expected).
Fields of papers citing papers by Robert R. Delongchamp
This network shows the impact of papers produced by Robert R. Delongchamp. 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 Robert R. Delongchamp. The network helps show where Robert R. Delongchamp may publish in the future.
Co-authorship network of co-authors of Robert R. Delongchamp
This figure shows the co-authorship network connecting the top 25 collaborators of Robert R. Delongchamp. A scholar is included among the top collaborators of Robert R. Delongchamp 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 Robert R. Delongchamp. Robert R. Delongchamp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | Community Team-Based Care for Hypertension Management: A Public-Private Partnership in Rural Arkansas. | 2 |
| 3 | 11 | |
| 4 | 60 | |
| 5 | 22 | |
| 6 | 4 | |
| 7 | 103 | |
| 8 | 20 | |
| 9 | Quantification of K-RAS codon 12 GAT and GTT mutation in colon tumor and non-tumor tissue by allele-specific competitive blocker PCR | 2 |
| 10 | 19 | |
| 11 | 28 | |
| 12 | 15 | |
| 13 | 21 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 32 | |
| 17 | The CYP3A4*1B variant is related to the onset of puberty, a known risk factor for the development of breast cancer. | 83 |
| 18 | Blood Determinations of S-Adenosylmethionine, S-Adenosylhomocysteine, and Homocysteine | 2 |
| 19 | 6 | |
| 20 | 7 |
About Robert R. Delongchamp
Robert R. Delongchamp is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 104 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), DNA Repair Mechanisms (12 papers) and CRISPR and Genetic Engineering (10 papers). The work is most often cited by research in Cancer Research (279 citations), Pharmacology (120 citations) and Health, Toxicology and Mutagenesis (165 citations). Robert R. Delongchamp has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include James J. Chen, Fred F. Kadlubar, Chen‐An Tsai, John F. Bowyer, Carolyn Wise, Lionel A. Poirier, Huey‐Miin Hsueh, E. Nakashima, Mohammed F. Faramawi and Kazuo Neriishi. Their work appears in journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.
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.