Susan D. Spencer
- Molecular Biology top 5%
- Oncology top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Hematology top 1%
- Immunology top 5%
- Co-authors
- Laurence A. LaskySharon Pitts-MeekHeidi PhillipsCraig CrowleyMerry NishimuraKaren ChenGail D. Lewis PhillipsGuangmin Li
- Topics
- HER2/EGFR in Cancer Research (8 papers)Organic Electronics and Photovoltaics (7 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Susan D. Spencer
34 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.0k
- Oncology 1.7k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Hematology 1.1k
- Immunology 862
Countries citing papers authored by Susan D. Spencer
This map shows the geographic impact of Susan D. Spencer'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 Susan D. Spencer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan D. Spencer more than expected).
Fields of papers citing papers by Susan D. Spencer
This network shows the impact of papers produced by Susan D. Spencer. 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 Susan D. Spencer. The network helps show where Susan D. Spencer may publish in the future.
Co-authorship network of co-authors of Susan D. Spencer
This figure shows the co-authorship network connecting the top 25 collaborators of Susan D. Spencer. A scholar is included among the top collaborators of Susan D. Spencer 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 Susan D. Spencer. Susan D. Spencer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 28 | |
| 3 | 125 | |
| 4 | 51 | |
| 5 | 52 | |
| 6 | 1 | |
| 7 | Characterization of organic solar cell morphology | 0 |
| 8 | Nanoscale Thermal Analysis of Organic Solar Cells | 0 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 214 | |
| 12 | 11 | |
| 13 | Targeting HER2-Positive Breast Cancer with Trastuzumab-DM1, an Antibody–Cytotoxic Drug Conjugatebreakdown → | 1259 |
| 14 | 98 | |
| 15 | 21 | |
| 16 | 93 | |
| 17 | 27 | |
| 18 | 116 | |
| 19 | Mice lacking nerve growth factor display perinatal loss of sensory and sympathetic neurons yet develop basal forebrain cholinergic neuronsbreakdown → | 874 |
| 20 | Stimulation of megakaryocytopoiesis and thrombopoiesis by the c-Mpl ligandbreakdown → | 1073 |
About Susan D. Spencer
Susan D. Spencer is a scholar working on Immunology and Allergy, Oncology and Developmental Neuroscience, having authored 36 papers that have together received 5.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (8 papers), Organic Electronics and Photovoltaics (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Hematology (1.1k citations), Developmental Neuroscience (323 citations) and Immunology and Allergy (400 citations). Susan D. Spencer has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Laurence A. Lasky, Sharon Pitts-Meek, Heidi Phillips, Craig Crowley, Merry Nishimura, Karen Chen, Gail D. Lewis Phillips, Guangmin Li, Donald Dowbenko and Elaine Mai. Their work appears in journals such as Nature, Cell 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.