Jennifer M. Atkinson
- Molecular Biology
- Cancer Research top 10%
- Oncology top 10%
- Epidemiology top 10%
- Cell Biology top 10%
- Co-authors
- Hong‐Gang WangR. H. MartinLonggui ChenJason H. GillAdrian V. LeeSteffi OesterreichMegan M. YoungZhenyuan Tang
- Topics
- Cancer Cells and Metastasis (8 papers)Cancer Genomics and Diagnostics (6 papers)Breast Cancer Treatment Studies (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jennifer M. Atkinson
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 628
- Cancer Research 307
- Oncology 301
- Epidemiology 276
- Cell Biology 195
Countries citing papers authored by Jennifer M. Atkinson
This map shows the geographic impact of Jennifer M. Atkinson'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 Jennifer M. Atkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Atkinson more than expected).
Fields of papers citing papers by Jennifer M. Atkinson
This network shows the impact of papers produced by Jennifer M. Atkinson. 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 Jennifer M. Atkinson. The network helps show where Jennifer M. Atkinson may publish in the future.
Co-authorship network of co-authors of Jennifer M. Atkinson
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Atkinson. A scholar is included among the top collaborators of Jennifer M. Atkinson 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 Jennifer M. Atkinson. Jennifer M. Atkinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 53 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 24 | |
| 13 | 12 | |
| 14 | 28 | |
| 15 | 54 | |
| 16 | 26 | |
| 17 | 2 | |
| 18 | 48 | |
| 19 | Coordinated infant videorefractive screening programmes in six European centres | 1 |
| 20 | 47 |
About Jennifer M. Atkinson
Jennifer M. Atkinson is a scholar working on Cancer Research, Oncology and Hematology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Cancer Genomics and Diagnostics (6 papers) and Breast Cancer Treatment Studies (6 papers). The work is most often cited by research in Cancer Research (307 citations), Physiology (57 citations) and Cell Biology (195 citations). Jennifer M. Atkinson has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Hong‐Gang Wang, R. H. Martin, Longgui Chen, Jason H. Gill, Adrian V. Lee, Steffi Oesterreich, Megan M. Young, Zhenyuan Tang, Yoshinori Takahashi and Melat T. Gebru. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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.