JL Connolly
- Cancer Research top 5%
- Oncology top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Simpson JfAD ThorClark GmDonald L. WeaverAllen S. LichterPatrick L. FitzgibbonsF P O’MalleyLA Greene
- Topics
- Breast Cancer Treatment Studies (6 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)BRCA gene mutations in cancer (1 paper)
- Journals
- The Journal of Cell BiologyCancer ResearchInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesIsraelCanada
In The Last Decade
JL Connolly
8 papers receiving 995 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Cancer Research 557
- Oncology 484
- Molecular Biology 337
- Pathology and Forensic Medicine 302
- Radiology, Nuclear Medicine and Imaging 123
Countries citing papers authored by JL Connolly
This map shows the geographic impact of JL Connolly'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 JL Connolly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JL Connolly more than expected).
Fields of papers citing papers by JL Connolly
This network shows the impact of papers produced by JL Connolly. 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 JL Connolly. The network helps show where JL Connolly may publish in the future.
Co-authorship network of co-authors of JL Connolly
This figure shows the co-authorship network connecting the top 25 collaborators of JL Connolly. A scholar is included among the top collaborators of JL Connolly 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 JL Connolly. JL Connolly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Local recurrence after conservative surgery and radiation therapy for ductal carcinoma in situ: Possible importance of family history. | 24 |
| 3 | Prognostic factors in breast cancer. College of American Pathologists Consensus Statement 1999.breakdown → | 808 |
| 4 | 1 | |
| 5 | 6 | |
| 6 | Comparative expression of the LINE-1 p40 protein in human breast carcinomas and normal breast tissues. | 57 |
| 7 | 10 | |
| 8 | 133 |
About JL Connolly
JL Connolly is a scholar working on Cancer Research, Radiation and Oncology, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Cancer Research (557 citations), Oncology (484 citations) and Pathology and Forensic Medicine (302 citations). JL Connolly has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Simpson Jf, AD Thor, Clark Gm, Donald L. Weaver, Allen S. Lichter, Patrick L. Fitzgibbons, F P O’Malley, LA Greene, Gary L. Bratthauer and Stephanie J. London. Their work appears in journals such as The Journal of Cell Biology, Cancer Research and International Journal of Radiation Oncology*Biology*Physics.
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.