Janet M. Kerr
- Molecular Biology top 10%
- Rheumatology top 1%
- Genetics top 2%
- Oncology top 10%
- Biomedical Engineering
- Co-authors
- Marian F. YoungPamela Gehron RobeySergei A. KuznetsovKazuhito SatomuraDafna BenayahuMara RiminucciPaul H. KrebsbachLarry W. Fisher
- Topics
- Bone and Dental Protein Studies (11 papers)dental development and anomalies (7 papers)Glycosylation and Glycoproteins Research (2 papers)
- Cited by
- RheumatologyGeneticsUrology
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Janet M. Kerr
16 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 762
- Rheumatology 719
- Genetics 451
- Oncology 254
- Biomedical Engineering 246
Countries citing papers authored by Janet M. Kerr
This map shows the geographic impact of Janet M. Kerr'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 Janet M. Kerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet M. Kerr more than expected).
Fields of papers citing papers by Janet M. Kerr
This network shows the impact of papers produced by Janet M. Kerr. 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 Janet M. Kerr. The network helps show where Janet M. Kerr may publish in the future.
Co-authorship network of co-authors of Janet M. Kerr
This figure shows the co-authorship network connecting the top 25 collaborators of Janet M. Kerr. A scholar is included among the top collaborators of Janet M. Kerr 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 Janet M. Kerr. Janet M. Kerr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | Single-Colony Derived Strains of Human Marrow Stromal Fibroblasts Form Bone After Transplantation In Vivobreakdown → | 576 |
| 5 | 29 | |
| 6 | Detection of bone sialoprotein in human breast cancer tissue and cell lines at both protein and messenger ribonucleic acid levels. | 36 |
| 7 | 91 | |
| 8 | 22 | |
| 9 | 95 | |
| 10 | 116 | |
| 11 | 64 | |
| 12 | 176 | |
| 13 | 55 | |
| 14 | 14 | |
| 15 | Effective purging of bone marrow by a combination of immunorosette depletion and complement lysis. | 15 |
| 16 | 327 |
About Janet M. Kerr
Janet M. Kerr is a scholar working on Rheumatology, Periodontics and Hepatology, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bone and Dental Protein Studies (11 papers), dental development and anomalies (7 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Rheumatology (719 citations), Genetics (451 citations) and Urology (229 citations). Janet M. Kerr has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Marian F. Young, Pamela Gehron Robey, Sergei A. Kuznetsov, Kazuhito Satomura, Dafna Benayahu, Mara Riminucci, Paul H. Krebsbach, Larry W. Fisher, John D. Termine and Kyomi Ibaraki. Their work appears in journals such as Clinical Orthopaedics and Related Research, Journal of Bone and Mineral Research and Gene.
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.