Michelle A. Gadd
- Molecular Biology
- Oncology top 10%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Barbara L. SmithDennis C. SgroiRanelle SalungaJessica D. KesslerXiaojun MaYixiong ZhouJustin GaudetMark G. Erlander
- Topics
- Breast Cancer Treatment Studies (7 papers)Breast Implant and Reconstruction (3 papers)BRCA gene mutations in cancer (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyAmerican Journal Of Pathology
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Michelle A. Gadd
14 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Molecular Biology 482
- Oncology 437
- Cancer Research 426
- Pathology and Forensic Medicine 157
- Pulmonary and Respiratory Medicine 104
Countries citing papers authored by Michelle A. Gadd
This map shows the geographic impact of Michelle A. Gadd'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 Michelle A. Gadd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle A. Gadd more than expected).
Fields of papers citing papers by Michelle A. Gadd
This network shows the impact of papers produced by Michelle A. Gadd. 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 Michelle A. Gadd. The network helps show where Michelle A. Gadd may publish in the future.
Co-authorship network of co-authors of Michelle A. Gadd
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle A. Gadd. A scholar is included among the top collaborators of Michelle A. Gadd 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 Michelle A. Gadd. Michelle A. Gadd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 73 | |
| 4 | 41 | |
| 5 | 44 | |
| 6 | 5 | |
| 7 | 24 | |
| 8 | 33 | |
| 9 | 19 | |
| 10 | Gene expression profiles of human breast cancer progressionbreakdown → | 673 |
| 11 | 3 | |
| 12 | 63 | |
| 13 | 5 | |
| 14 | Regulation of cyclin D1 and p16(INK4A) is critical for growth arrest during mammary involution. | 28 |
| 15 | 5 |
About Michelle A. Gadd
Michelle A. Gadd is a scholar working on Cancer Research, Oncology and Immunology and Allergy, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Breast Implant and Reconstruction (3 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Cancer Research (426 citations), Oncology (437 citations) and Pathology and Forensic Medicine (157 citations). Michelle A. Gadd has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Barbara L. Smith, Dennis C. Sgroi, Ranelle Salunga, Jessica D. Kessler, Xiaojun Ma, Yixiong Zhou, Justin Gaudet, Mark G. Erlander, Heike Varnholt and Thomas Baer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and American Journal Of Pathology.
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.